WorldWideScience

Sample records for understanding human behavior

  1. Challenges in human behavior understanding

    NARCIS (Netherlands)

    Salah, A.A.; Gevers, T.; Sebe, N.; Vinciarelli, A.

    2010-01-01

    Recent advances in pattern recognition has allowed computer scientists and psychologists to jointly address automatic analysis of of human behavior via computers. The Workshop on Human Behavior Understanding at the International Conference on Pattern Recognition explores a number of different

  2. Machine Understanding of Human Behavior

    NARCIS (Netherlands)

    Pantic, Maja; Pentland, Alex; Nijholt, Antinus; Huang, Thomas

    2007-01-01

    A widely accepted prediction is that computing will move to the background, weaving itself into the fabric of our everyday living spaces and projecting the human user into the foreground. If this prediction is to come true, then next generation computing, which we will call human computing, should

  3. Simulating human behavior for understanding and managing environmental resource use

    NARCIS (Netherlands)

    Jager, Wander; Mosler, Hans Joachim

    2007-01-01

    Computer simulation allows for the experimental study of dynamic interactions between human behavior and complex environmental systems. Behavioral determinants and processes as identified in social-scientific theory may be formalized in simulated agents to obtain a better understanding of

  4. Understanding the behavior of floodplains as human-water systems

    Science.gov (United States)

    Di Baldassarre, G.; Brandimarte, L.

    2012-12-01

    Floodplains are among the most valuable ecosystems for supporting biodiversity and providing services to the environment. Moreover, they are home of approximately one-sixth of the world population as they offer favorable conditions for economic development. As a result, flood disasters currently affect more than 100 million people a year. Sadly, flood losses and fatalities are expected to increase further in many countries because of population growth as well as changes in land use and climate. Given the relevance of floodplain systems, a number of social scientists have examined how the frequency and severity of flooding often determine whether human development in floodplains is desirable or not. Meanwhile, many earth scientists have investigated the impact of human activities (e.g. land-use changes, urbanization, river training) on the frequency and magnitude of floods. In fact, as human activities change the frequency of flooding, the frequency of flooding affects human developments in floodplain areas. Yet, these dynamic interactions between floods and societies and the associated feedback mechanisms remain largely unexplored and poorly understood. As a result, we typically consider humans as external forcing (or boundary condition) without representing the feedback loops and our prediction of future trajectories are therefore extremely limited. This presentation shows a first attempt to understand the behavior of floodplains as coupled human-water systems. In particular, we analyzed a number of long time series of hydrological and population data in the Po River Basin (Italy) to explore the feedback mechanisms, reciprocal effects, surprises, and threshold mechanisms, taking place in floodplain systems. The outcomes of the study enable a better understanding of how the occurrences of floods shape human developments while, at the same time, human activities shape the magnitude and frequency of floods. The presentation also discusses the opportunities offered by

  5. Human Computing and Machine Understanding of Human Behavior: A Survey

    NARCIS (Netherlands)

    Pantic, Maja; Pentland, Alex; Nijholt, Antinus; Huang, Thomas; Quek, F.; Yang, Yie

    2006-01-01

    A widely accepted prediction is that computing will move to the background, weaving itself into the fabric of our everyday living spaces and projecting the human user into the foreground. If this prediction is to come true, then next generation computing, which we will call human computing, should

  6. Human computing and machine understanding of human behavior: A survey

    NARCIS (Netherlands)

    Pentland, Alex; Huang, Thomas S.; Huang, Th.S.; Nijholt, Antinus; Pantic, Maja; Pentland, A.

    2007-01-01

    A widely accepted prediction is that computing will move to the background, weaving itself into the fabric of our everyday living spaces and projecting the human user into the foreground. If this prediction is to come true, then next generation computing should be about anticipatory user interfaces

  7. Understanding and Predicting Human Behavior for Social Communities

    Science.gov (United States)

    Simoes, Jose; Magedanz, Thomas

    Over the last years, with the rapid advance in technology, it is becoming increasingly feasible for people to take advantage of the devices and services in the surrounding environment to remain "connected" and continuously enjoy the activity they are engaged in, be it sports, entertainment, or work. Such a ubiquitous computing environment will allow everyone permanent access to the Internet anytime, anywhere and anyhow [1]. Nevertheless, despite the evolution of services, social aspects remain in the roots of every human behavior and activities. Great examples of such phenomena are online social networks, which engage users in a way never seen before in the online world. At the same time, being aware and communicating context is a key part of human interaction and is a particularly powerful concept when applied to a community of users where services can be made more personalized and useful. Altogether, harvesting context to reason and learn about user behavior will further enhance the future multimedia vision where services can be composed and customized according to user context. Moreover, it will help us to understand users in a better way.

  8. Understanding the heavy-tailed dynamics in human behavior.

    Science.gov (United States)

    Ross, Gordon J; Jones, Tim

    2015-06-01

    The recent availability of electronic data sets containing large volumes of communication data has made it possible to study human behavior on a larger scale than ever before. From this, it has been discovered that across a diverse range of data sets, the interevent times between consecutive communication events obey heavy-tailed power law dynamics. Explaining this has proved controversial, and two distinct hypotheses have emerged. The first holds that these power laws are fundamental, and arise from the mechanisms such as priority queuing that humans use to schedule tasks. The second holds that they are statistical artifacts which only occur in aggregated data when features such as circadian rhythms and burstiness are ignored. We use a large social media data set to test these hypotheses, and find that although models that incorporate circadian rhythms and burstiness do explain part of the observed heavy tails, there is residual unexplained heavy-tail behavior which suggests a more fundamental cause. Based on this, we develop a quantitative model of human behavior which improves on existing approaches and gives insight into the mechanisms underlying human interactions.

  9. The Psychology of Isolated and Confined Environments: Understanding Human Behavior in Antarctica.

    Science.gov (United States)

    Palinkas, Lawrence A.

    2003-01-01

    Reviews lessons learned from research in Antarctica with relevance to understanding human behavior in other isolated and confined environments. Outlines four distinct characteristics of psychosocial adaptation to such environments and discusses some of the benefits for individuals seeking challenging experiences. (Contains references.) (SLD)

  10. Human behavior understanding for assisted living by means of hierarchical context free grammars

    Science.gov (United States)

    Rosani, A.; Conci, N.; De Natale, F. G. B.

    2014-03-01

    Human behavior understanding has attracted the attention of researchers in various fields over the last years. Recognizing behaviors with sufficient accuracy from sensors analysis is still an unsolved problem, because of many reasons, including the low accuracy of the data, differences in the human behaviors as well as the gap between low-level sensors data and high-level scene semantics. In this context, an application that is attracting the interest of both public and industrial entities is the possibility to allow elderly or physically impaired people conducting a normal life at home. Ambient intelligence (AmI) technologies, intended as the possibility of automatically detecting and reacting to the status of the environment and of the persons, is probably the major enabling factor for the achievement of such an ambitious objective. AmI technologies require suitable networks of sensors and actuators, as well as adequate processing and communication technologies. In this paper we propose a solution based on context free grammars for human behavior understanding with an application to assisted living. First, the grammars of the different actions performed by a person in his/her daily life are discovered. Then, a longterm analysis of the behavior is used to generate a control grammar, taking care of the context when an action is performed, and adding semantics. The proposed framework is tested on a dataset acquired in a real environment and compared with state of the art methods already available for the problem considered.

  11. On the Importance of Comparative Research for the Understanding of Human Behavior and Development: A Reply to Gottlieb & Lickliter (2004)

    Science.gov (United States)

    Maestripieri, Dario

    2005-01-01

    Comparative behavioral research is important for a number of reasons and can contribute to the understanding of human behavior and development in many different ways. Research with animal models of human behavior and development can be a source not only of general principles and testable hypotheses but also of empirical information that may be…

  12. Human behavior understanding in networked sensing theory and applications of networks of sensors

    CERN Document Server

    Spagnolo, Paolo; Distante, Cosimo

    2014-01-01

    This unique text/reference provides a broad overview of both the technical challenges in sensor network development, and the real-world applications of distributed sensing. Important aspects of distributed computing in large-scale networked sensor systems are analyzed in the context of human behavior understanding, including such topics as systems design tools and techniques, in-network signals, and information processing. Additionally, the book examines a varied range of application scenarios, covering surveillance, indexing and retrieval, patient care, industrial safety, social and ambient

  13. On Understanding the Human Nature of Good and Bad Behavior in Business: A Behavioral Ethics Approach

    NARCIS (Netherlands)

    D. de Cremer (David)

    2009-01-01

    textabstractThe numerous scandals in business, such as those at AIG, Tyco, WorldCom, Enron and Ahold, have made all of us concerned about the emergence of unethical and irresponsible behavior in organizations. Such widespread corruption in business and politics has, as result, prompted a growth of

  14. Understanding human error and aiding human diagnostic behavior in nuclear power plants

    International Nuclear Information System (INIS)

    Rasmussen, J.; Rouse, W.B.

    1981-01-01

    This essay deals with the vulnerability of nuclear plant operators to human error. The various ways in which they can err, and how machine errors differ from human errors are discussed. Diagnosis of system failure utilizing computers is offered as a possible solution

  15. Living systems theory as a paradigm for organizational behavior: understanding humans, organizations, and social processes.

    Science.gov (United States)

    Vancouver, J B

    1996-07-01

    Living systems theories have been used to model human, organization, and communication processes. This paper attempts to describe these models and to highlight the isomorphisms among the models. Particular emphasis is given to self-regulating properties of humans as a subsystem of social systems. Attention is given to the advantages of generalizing across levels and phenomena and integrating the middle-range theories that dominate the field of organizational behavior. Three broad recommendations for future research are discussed.

  16. Understanding the dynamics of sustainable social-ecological systems: human behavior, institutions, and regulatory feedback networks.

    Science.gov (United States)

    Anderies, John M

    2015-02-01

    I present a general mathematical modeling framework that can provide a foundation for the study of sustainability in social- ecological systems (SESs). Using basic principles from feedback control and a sequence of specific models from bioeconomics and economic growth, I outline several mathematical and empirical challenges associated with the study of sustainability of SESs. These challenges are categorized into three classes: (1) the social choice of performance measures, (2) uncertainty, and (3) collective action. Finally, I present some opportunities for combining stylized dynamical systems models with empirical data on human behavior and biophysical systems to address practical challenges for the design of effective governance regimes (policy feedbacks) for highly uncertain natural resource systems.

  17. Understanding Artful Behavior as a Human Proclivity: Clues from a Pre-Kindergarten Classroom

    Science.gov (United States)

    Blatt-Gross, Carolina

    2011-01-01

    Concurrent to the present reduction of arts education in mainstream American schools, many evolutionary-minded scholars are asserting that artistic behavior contributes significantly to cognition, has been advantageous for our survival, and satisfies psychological needs that are biologically embedded. Supported by long-term and wide-spread art…

  18. Putting the Mind in the Brain: Promoting an Appreciation of the Biological Basis to Understanding Human Behavior

    Science.gov (United States)

    Neumann, David L.

    2010-01-01

    A surprising number of students in psychology, behavioral science, and related social science classes fail to appreciate the importance of biological mechanisms to understanding behavior. To help teachers promote this understanding, this paper outlines six sources of evidence. These are (a) phylogenetic, (b) genetic/developmental, (c) clinical,…

  19. Evolutionary psychology and evolutionary developmental psychology: understanding the evolution of human behavior and development.

    Science.gov (United States)

    Hernández Blasi, Carlos; Causey, Kayla

    2010-02-01

    This is an introduction to this special issue on evolutionary psychology (EP) and evolutionary developmental psychology (EDP). We suggest here that, contrary to some common assumptions, mainstream psychology continues to be essentially non Darwinian and that EP and EDP are new approaches that can potentially help us to change this situation. We then present the organization of the special issue (composed of six papers). We conclude that evolution is certainly not the final consideration in psychology, but emphasize its importance as the basis upon which all modern behaviors and development are built.

  20. Forensic Spoorology: Seeing and Understanding Human Behavior through Observation, Classification and Interpretation of Spoor Evidence

    Science.gov (United States)

    2011-06-10

    75 Panic/Fear ( Phobia )/Out of Control/Without Cognition ........................................76...psychologists agree that we as human beings are a product of both our genetics (brain-bound) and our conditioning (body-bound and action-bound). 5 Huitt‘s...information through the five senses and manifests action through the body. The body is composed of genetic influences, bodily functioning, and overt

  1. Understanding Licensing Behavior

    DEFF Research Database (Denmark)

    Cabaleiro, Goretti; Moreira, Solon; Reichstein, Toke

    The potential for rent dissipation has been argued to be the main cause of firms? licensing out behavior being stifled.However, this aspect has been scarcely studied empirically. We draw on rent dissipation arguments, and hypothesize that firms suffering from the not-invented-here (NIH) syndrome...

  2. Understanding Licensing Behavior

    DEFF Research Database (Denmark)

    Cabaleiro, Goretti; Moreira, Solon; Reichstein, Toke

    The potential for rent dissipation has been argued to be the main cause of firms? licensing out behavior being stifled.However, this aspect has been scarcely studied empirically. We draw on rent dissipation arguments, and hypothesize that firms suffering from the not-invented-here (NIH) syndrome,...

  3. Data Sources for Human Behavior

    Science.gov (United States)

    2009-08-06

    D t S fa a ources or Human Behavior Elizabeth Mezzacappa, Ph.D. & Kenneth Short, Ph.D. Target Behavioral Response Laboratory/Stress and Motivated...to 00-00-2009 4. TITLE AND SUBTITLE Data Sources for Human Behavior Presented at the Focus 2010 Human Social Cultural Behavioral Conference...understanding human behavior for M&S efforts. This presentation falls under the presentation top are of "Socio-cultural data acquisition, extraction

  4. Cognitive and affective components of mental workload: Understanding the effects of each on human decision making behavior

    Science.gov (United States)

    Nygren, Thomas E.

    1992-01-01

    Human factors and ergonomics researchers have recognized for some time the increasing importance of understanding the role of the construct of mental workload in flight research. Current models of mental workload suggest that it is a multidimensional and complex construct, but one that has proved difficult to measure. Because of this difficulty, emphasis has usually been placed on using direct reports through subjective measures such as rating scales to assess levels of mental workload. The NASA Task Load Index (NASA/TLX, Hart and Staveland) has been shown to be a highly reliable and sensitive measure of perceived mental workload. But a problem with measures like TLX is that there is still considerable disagreement as to what it is about mental workload that these subjective measures are actually measuring. The empirical use of subjective workload measures has largely been to provide estimates of the cognitive components of the actual mental workload required for a task. However, my research suggests that these measures may, in fact have greater potential in accurately assessing the affective components of workload. That is, for example, TLX may be more likely to assess the positive and negative feelings associated with varying workload levels, which in turn may potentially influence the decision making behavior that directly bears on performance and safety issues. Pilots, for example, are often called upon to complete many complex tasks that are high in mental workload, stress, and frustration, and that have significant dynamic decision making components -- often ones that involve risk as well.

  5. Development of psychosocial case studies by students to improve their ability to understand and analyze human behavior

    OpenAIRE

    Saldaña, Omar; Rodríguez Carballeira, Álvaro; Espelt, Esteve; Jiménez, Yirsa; Porrúa, Clara; Escartín Solanelles, Jordi; Castrechini Trotta, Ángela; Codina, Núria (Codina Mata); Pestana, José Vicente; Vidal i Moranta, Tomeu

    2015-01-01

    This study presents an active learning methodology based on the development and analysis of case studies by college students and explores its effects on academic performance and on students' capacity of understanding and analysing human behaviour. A group of 54 students who were taking the course Social Psychology at the University of Barcelona developed written stories where psychosocial concepts were represented. Results showed that participants, after developing their own case studies, imp...

  6. Shape understanding system machine understanding and human understanding

    CERN Document Server

    Les, Zbigniew

    2015-01-01

    This is the third book presenting selected results of research on the further development of the shape understanding system (SUS) carried out by authors in the newly founded Queen Jadwiga Research Institute of Understanding. In this book the new term Machine Understanding is introduced referring to a new area of research aiming to investigate the possibility of building machines with the ability to understand. It is presented that SUS needs to some extent mimic human understanding and for this reason machines are evaluated according to the rules applied for the evaluation of human understanding. The book shows how to formulate problems and how it can be tested if the machine is able to solve these problems.    

  7. Mathematical models of human behavior

    DEFF Research Database (Denmark)

    Møllgaard, Anders Edsberg

    During the last 15 years there has been an explosion in human behavioral data caused by the emergence of cheap electronics and online platforms. This has spawned a whole new research field called computational social science, which has a quantitative approach to the study of human behavior. Most...... studies have considered data sets with just one behavioral variable such as email communication. The Social Fabric interdisciplinary research project is an attempt to collect a more complete data set on human behavior by providing 1000 smartphones with pre-installed data collection software to students...... data set, along with work on other behavioral data. The overall goal is to contribute to a quantitative understanding of human behavior using big data and mathematical models. Central to the thesis is the determination of the predictability of different human activities. Upper limits are derived...

  8. Bridging Humanism and Behaviorism.

    Science.gov (United States)

    Chu, Lily

    1980-01-01

    Humanistic behaviorism may provide the necessary bridge between behaviorism and humanism. Perhaps the most humanistic approach to teaching is to learn how certain changes will help students and how these changes can be accomplished. (Author/MLF)

  9. Humanism vs. Behaviorism

    Science.gov (United States)

    Hunter, Madeline

    1977-01-01

    Author argues that humanism and behaviorism are not necessarily exclusive of one another, and that principles of behaviorism, when thoughtfully applied, can lead to the achievement of humanistic goals. (RW)

  10. Ayurgenomics: Understanding human individuality through ...

    Indian Academy of Sciences (India)

    mitali

    Ayurgenomics: Understanding human individuality through integration of. Ayurveda and Genomics for stratified medicine. Mitali Mukerji. Programme Director- CSIR-TRISUTRA. (Translational Research and Innovative Science Through Ayurgenomics). & Scientist CSIR-IGIB. Public health Modern medicine. Ayurveda others ...

  11. [Terrorism and human behavior].

    Science.gov (United States)

    Leistedt, S J

    2017-06-09

    Theories of religion are essential for understanding current trends in terrorist activities. The aim of this work is to clarify religion's role in facilitating terror and outline in parallel with recent theoretical developments on terrorism and human behaviour. Several databases were used such as PubCentral, Scopus, Medline and Science Direct. The search terms "terrorism", "social psychology", "religion", "evolution", and "cognition" were used to identify relevant studies in the databases. This work examines, in a multidimensional way, how terrorists employ these features of religion to achieve their goals. In the same way, it describes how terrorists use rituals to conditionally associate emotions with sanctified symbols that are emotionally evocative and motivationally powerful, fostering group solidarity, trust, and cooperation. Religious beliefs, including promised rewards in the afterlife, further serve to facilitate cooperation by altering the perceived payoffs of costly actions, including suicide bombing. The adolescent pattern of brain development is unique, and young adulthood presents an ideal developmental stage to attract recruits and enlist them in high-risk behaviors. This work offers insights, based on this translational analysis, concerning the links between religion, terrorism and human behavior. Copyright © 2017 L'Encéphale, Paris. Published by Elsevier Masson SAS. All rights reserved.

  12. Crowd Human Behavior for Modeling and Simulation

    Science.gov (United States)

    2009-08-06

    Crowd Human Behavior for Modeling and Simulation Elizabeth Mezzacappa, Ph.D. & Gordon Cooke, MEME Target Behavioral Response Laboratory, ARDEC...TYPE Conference Presentation 3. DATES COVERED 00-00-2008 to 00-00-2009 4. TITLE AND SUBTITLE Crowd Human Behavior for Modeling and Simulation...34understanding human behavior " and "model validation and verification" and will focus on modeling and simulation of crowds from a social scientist???s

  13. Understanding human papillomavirus vaccination intentions: comparative utility of the theory of reasoned action and the theory of planned behavior in vaccine target age women and men.

    Science.gov (United States)

    Fisher, William A; Kohut, Taylor; Salisbury, Claire M A; Salvadori, Marina I

    2013-10-01

    Human papillomavirus (HPV) is an exceedingly prevalent sexually transmitted infection with serious medical, sexual, and relationship consequences. HPV vaccine protection is available but vaccine uptake is very inconsistent. This research applies two major theories of health behavior uptake, the Theory of Reasoned Action and the Theory of Planned Behavior, in an effort to understand intentions to receive HPV vaccine among vaccine target age women and men. The Theory of Reasoned Action asserts that attitudes toward HPV vaccination and perceptions of social support for HPV vaccination are the determinants of intentions to be vaccinated, whereas the Theory of Planned Behavior holds that attitudes toward vaccination, perceptions of social support for vaccination, and perceived ability to get vaccinated are the determinants of intentions to be vaccinated. Canadian university men (N=118) and women (N=146) in the HPV vaccine target age range took part in this correlational study online. Participants completed standard measures of attitudes toward HPV vaccination, perceptions of social support for vaccination, perceived ability to get vaccinated, beliefs about vaccination, and intentions to be vaccinated in the coming semester. Findings confirmed the propositions of the Theory of Reasoned Action and indicated that attitudes toward undergoing HPV vaccination and perceptions of social support for undergoing HPV vaccination contributed uniquely to the prediction of women's (R2=0.53) and men's (R2=0.44) intentions to be vaccinated in the coming semester. Clinical and public health education should focus on strengthening attitudes and perceptions of social support for HPV vaccination, and on the basic beliefs that appear to underlie attitudes and perceptions of social support for HPV vaccination, in efforts to promote HPV vaccine uptake. © 2013 International Society for Sexual Medicine.

  14. Predictive Navigation by Understanding Human Motion Patterns

    Directory of Open Access Journals (Sweden)

    Shu-Yun Chung

    2011-03-01

    Full Text Available To make robots coexist and share the environments with humans, robots should understand the behaviors or the intentions of humans and further predict their motions. In this paper, an A*-based predictive motion planner is represented for navigation tasks. A generalized pedestrian motion model is proposed and trained by the statistical learning method. To deal with the uncertainty, a localization, tracking and prediction framework is also introduced. The corresponding recursive Bayesian formula represented as DBNs (Dynamic Bayesian Networks is derived for real time operation. Finally, the simulations and experiments are shown to validate the idea of this paper.

  15. Understanding Consumer Buying Behavior in Africa

    DEFF Research Database (Denmark)

    Kuada, John Ernest; Bujac, Andreea Ioana

    2017-01-01

    Recent economic growth trends in Africa have raised awareness among businesses about the attractiveness of its market potential. There is therefore an increasing academic interest in understanding the attitudes, preferences and behavior of African consumers. This chapter reviews some...

  16. Understanding individual human mobility patterns.

    Science.gov (United States)

    González, Marta C; Hidalgo, César A; Barabási, Albert-László

    2008-06-05

    Despite their importance for urban planning, traffic forecasting and the spread of biological and mobile viruses, our understanding of the basic laws governing human motion remains limited owing to the lack of tools to monitor the time-resolved location of individuals. Here we study the trajectory of 100,000 anonymized mobile phone users whose position is tracked for a six-month period. We find that, in contrast with the random trajectories predicted by the prevailing Lévy flight and random walk models, human trajectories show a high degree of temporal and spatial regularity, each individual being characterized by a time-independent characteristic travel distance and a significant probability to return to a few highly frequented locations. After correcting for differences in travel distances and the inherent anisotropy of each trajectory, the individual travel patterns collapse into a single spatial probability distribution, indicating that, despite the diversity of their travel history, humans follow simple reproducible patterns. This inherent similarity in travel patterns could impact all phenomena driven by human mobility, from epidemic prevention to emergency response, urban planning and agent-based modelling.

  17. Synthesizing Humanism and Behaviorism.

    Science.gov (United States)

    Linder, Steven

    The old argument of humanism versus behaviorism is slowly being replaced by a synthesis of these two foundations of thought. This slow professional recognition of synthesis is due to three basic shortcomings in the professional community rather than extreme differences in ideological thought. They are: (1) psychological terminology being equated…

  18. Irrational Human Behaviors

    Directory of Open Access Journals (Sweden)

    Orhan Şener

    2015-10-01

    Full Text Available Neo Classical economists used to posit that, since consumers are rational, they make decisions to maximize their pleasure (utility. Opposing to Neo Classical understanding, Behavioral Economists argue that, consumers are infect not rational, but prone to all sort of biases and habits that pull them being rational. For instance, there are too many irrational choices made by the Turkish consumers like; expensive wedding parties given by low income families; although riding bicycle is healthy and cheap, but people buy expensive cars; it is cheaper staying at a hotel or a timeshare, however people buy expensive summer houses, where they stayed only few weeks a year. These type of irrational behaviors adversely affect the decisions on savings, investments and economic growth. On the consumers irrationality, Tversky and Daniel Kahneman, winner of the 2002 Nobel Prize in Economics, wrote Prospect Theory. They developed a cognitive psychological model to explain divergences from neoclassical economics. They claimed that people take decisions under psychological, social, emotional and economic factors that affect market prices and resource allocation. In order to explain the irrational behaviors of Turkish consumers, I utilized some concepts such as conspicuous consumption (or keeping up with Johns, Veblen Effect, Bandwagon Effect, bounded rationality, 20 to 80 Law and ethical considerations developed by Behavioral Economists and Heterodox Economics. Thus, I came to conclusion that why the free market economic understanding fails in Turkey by giving some examples and economic reasons stated in the last section of this paper.

  19. Affective and behavioral responses to robot-initiated social touch : Towards understanding the opportunities and limitations of physical contact in human-robot interaction

    NARCIS (Netherlands)

    Willemse, C.J.A.M.; Toet, A.; Erp, J.B.F. van

    2017-01-01

    Social touch forms an important aspect of the human non-verbal communication repertoire, but is often overlooked in human–robot interaction. In this study, we investigated whether robot-initiated touches can induce physiological, emotional, and behavioral responses similar to those reported for

  20. Understanding behaviors in videos through behavior-specific dictionaries

    DEFF Research Database (Denmark)

    Ren, Huamin; Liu, Weifeng; Olsen, Søren Ingvor

    2018-01-01

    Understanding behaviors is the core of video content analysis, which is highly related to two important applications: abnormal event detection and action recognition. Dictionary learning, as one of the mid-level representations, is an important step to process a video. It has achieved state...

  1. Predicting human behavior: The next frontiers.

    Science.gov (United States)

    Subrahmanian, V S; Kumar, Srijan

    2017-02-03

    Machine learning has provided researchers with new tools for understanding human behavior. In this article, we briefly describe some successes in predicting behaviors and describe the challenges over the next few years. Copyright © 2017, American Association for the Advancement of Science.

  2. Cognitive neuroscience robotics A synthetic approaches to human understanding

    CERN Document Server

    Ishiguro, Hiroshi; Asada, Minoru; Osaka, Mariko; Fujikado, Takashi

    2016-01-01

    Cognitive Neuroscience Robotics is the first introductory book on this new interdisciplinary area. This book consists of two volumes, the first of which, Synthetic Approaches to Human Understanding, advances human understanding from a robotics or engineering point of view. The second, Analytic Approaches to Human Understanding, addresses related subjects in cognitive science and neuroscience. These two volumes are intended to complement each other in order to more comprehensively investigate human cognitive functions, to develop human-friendly information and robot technology (IRT) systems, and to understand what kind of beings we humans are. Volume A describes how human cognitive functions can be replicated in artificial systems such as robots, and investigates how artificial systems could acquire intelligent behaviors through interaction with others and their environment.

  3. Genes, Environment, and Human Behavior.

    Science.gov (United States)

    Bloom, Mark V.; Cutter, Mary Ann; Davidson, Ronald; Dougherty, Michael J.; Drexler, Edward; Gelernter, Joel; McCullough, Laurence B.; McInerney, Joseph D.; Murray, Jeffrey C.; Vogler, George P.; Zola, John

    This curriculum module explores genes, environment, and human behavior. This book provides materials to teach about the nature and methods of studying human behavior, raise some of the ethical and public policy dilemmas emerging from the Human Genome Project, and provide professional development for teachers. An extensive Teacher Background…

  4. Understanding behaviors in videos through behavior-specific dictionaries

    DEFF Research Database (Denmark)

    Ren, Huamin; Liu, Weifeng; Olsen, Søren Ingvor

    2018-01-01

    Understanding behaviors is the core of video content analysis, which is highly related to two important applications: abnormal event detection and action recognition. Dictionary learning, as one of the mid-level representations, is an important step to process a video. It has achieved state...... scalability needs: A dictionary aimed at an abnormality detection purpose may misdetect normal behavior, which rarely happens in training datasets even though it may be very common in daily life. In contrast, a dictionary aimed at action recognition may misclassify a newcoming action category as an existing...... action. Therefore, our Behavior-Specific Dictionaries (BSDs) are constructed to solve these two applications through a unified framework. To the best of our knowledge, this is the first generalized dictionary algorithm that successfully handle with action recognition and abnormality detection...

  5. Understanding consumer decisions using behavioral economics.

    Science.gov (United States)

    Zandstra, Elizabeth H; Miyapuram, Krishna P; Tobler, Philippe N

    2013-01-01

    Consumers make many decisions in everyday life involving finances, food, and health. It is known from behavioral economics research that people are often driven by short-term gratification, that is, people tend to choose the immediate, albeit smaller reward. But choosing the delayed reward, that is, delaying the gratification, can actually be beneficial. How can we motivate consumers to resist the "now" and invest in their future, leading to sustainable or healthy habits? We review recent developments from behavioral and neuroimaging studies that are relevant for understanding consumer decisions. Further, we present results from our field research that examined whether we can increase the perceived value of a (delayed) environmental benefit using tailored communication, that is, change the way it is framed. More specifically, we investigated whether we can boost the value of an abstract, long-term "green" claim of a product by expressing it as a concrete, short-term benefit. This is a new application area for behavioral economics. Copyright © 2013 Elsevier B.V. All rights reserved.

  6. Enhancing human understanding through intelligent explanations

    NARCIS (Netherlands)

    Mioch, T.; Harbers, M.; Doesburg, W.A. van; Bosch, K. van den

    2007-01-01

    Ambient systems that explain their actions promote the user's understanding as they give the user more insight in the e®ects of their behavior on the environment. In order to provide individualized intelligent explanations, we need not only to evaluate a user's observable behavior, but we also need

  7. Multi-data Mining for Understanding Leadership Behavior

    Directory of Open Access Journals (Sweden)

    Naohiro Matsumura

    2007-03-01

    Full Text Available We propose an approach for understanding leadership behavior in dot-jp, a non-profit organization, by analyzing heterogeneous multi-data composed of questionnaires and mailing list archives. Attitudes toward leaders were obtained from the questionnaires, and human networks were extracted from the mailing list archives. By integrating the results, we discovered that leaders must receive messages from other people as well as send messages to construct reliable relationships.

  8. Understanding the Societal Impact of Humanities Scholarship

    DEFF Research Database (Denmark)

    Pedersen, David Budtz; Johansson, Lasse Gøhler

    2016-01-01

    The critical problem for understanding the societal impact of humanities scholarship is that we currently have no satisfactory tools for understanding how wider social impacts occur and, by implication, very few guidelines for stimulating a reflexive dialogue about the influence of the humanities...... in an incomplete and hence misleading picture of research outcomes and their causality. In this paper, I explore how the emerging research impact agenda is embarking on the humanities and which tools and frameworks are available for tracing and mapping the impact of humanities breakthroughs in society. Examining...... both quantitative and qualitative tools, the paper argues that we need a better and more comprehensive understanding of the role the humanities as part of a wider web of societal institutions, networks, and agents. Granted that the impact of humanities breakthroughs cannot be located at clearly...

  9. Tracking Nemo: Help Scientists Understand Zebrafish Behavior.

    Science.gov (United States)

    Tolbert, Tyrone J; Nakayama, Shinnosuke; Porfiri, Maurizio

    2018-02-22

    The advent of automated tracking software has significantly reduced the time required to record movement trajectories, thereby facilitating behavioral studies of zebrafish. However, results are substantially influenced by tracking errors, such as loss and misidentification of individuals. In this study, we present the development of an online citizen science platform, Tracking Nemo, to improve data accuracy on swimming trajectories of zebrafish groups. As an online extension of software for tracking the position of zebrafish from video recordings, Tracking Nemo offers volunteers the opportunity to contribute to science by manually correcting tracked trajectory data from their personal computers. Researchers can upload their videos that require human intervention for correcting and validating the data. Citizen scientists can monitor their contributions through a leaderboard system, which is designed to strengthen participant retention and contribution by tapping into intrinsic and extrinsic motivations. Tracking Nemo is expected to help scientists improve data accuracy through the involvement of citizen scientists, who, in turn, engage in an authentic research activity and learn more about the behavior of zebrafish.

  10. Integration of human behavior expectations in training: human behavior simulator

    International Nuclear Information System (INIS)

    Obeso Torices, E.

    2012-01-01

    The analysis of operating experience in nuclear Sta Maria de Garona point to fundamental human factor. After evaluation of the Peer Review, reinforcing behavior expectations was identified as improvement area. The human behavior simulator aims at minimizing human error. Making teamwork practices ensures that the equipment itself reinforces their behavior and performance in the work of the Central. The scope of practice to perform on the simulator includes all phases of execution. The team should analyze the best way to run, the impact of it on the ground and interaction with other sections, being the simulator training environment the situation closer to reality.

  11. Understanding the Irradiation Behavior of Zirconium Carbide

    Energy Technology Data Exchange (ETDEWEB)

    Motta, Arthur [Pennsylvania State Univ., University Park, PA (United States); Sridharan, Kumar [Univ. of Wisconsin, Madison, WI (United States); Morgan, Dane [Univ. of Wisconsin, Madison, WI (United States); Szlufarska, Izabela [Univ. of Wisconsin, Madison, WI (United States)

    2013-10-11

    -induced microstructures mapped spatially and temporally, microstructural evolution during post-irradiation annealing, and atomistic modeling of defect formation and transport energetics will provide new, critical understanding about property changes in ZrC. The behavior of materials under irradiation is determined by the balance between damage production, defect clustering, and lattice response. In order to predict those effects at high temperatures so targeted testing can be expanded and extrapolated beyond the known database, it is necessary to determine the defect energetics and mobilities as these control damage accumulation and annealing. In particular, low-temperature irradiations are invaluable for determining the regions of defect mobility. Computer simulation techniques are particularly useful for identifying basic defect properties, especially if closely coupled with a well-constructed and complete experimental database. The close coupling of calculation and experiment in this project will provide mutual benchmarking and allow us to glean a deeper understanding of the irradiation response of ZrC, which can then be applied to the prediction of its behavior in reactor conditions.

  12. Understanding slope behavior through microseismic monitoring

    Science.gov (United States)

    Arosio, Diego; Boccolari, Mauro; Longoni, Laura; Papini, Monica; Zanzi, Luigi

    2017-04-01

    It is well known that microseismic activity originates as an elastic stress wave at locations where the material is mechanically unstable. Monitoring techniques focusing on this phenomenon have been studied for over seventy years and are now employed in a wide range of applications. As far as the study of unstable slope is concerned, microseismic monitoring can provide real-time information about fracture formation, propagation and coalescence and may be an appropriate solution to reduce the risk for human settlements when structural mitigation interventions (e.g., rock fall nets and ditches) cannot cope with large rock volumes and high kinetic energies. In this work we present the datasets collected in a 4-year period with a microseismic monitoring network deployed on an unstable rock face in Northern Italy. We mainly focus on the classification and the interpretation of collected signals with the final aim of identifying microseismic events related to the kinematic and dynamic behavior of the slope. We have analyzed signal parameters both in time and frequency domains, spectrograms, polarization of 3-component recordings supported by principal component analysis. Clustering methodologies have been tested in order to develop an automatic classification routine capable to isolate a cluster with most of the events related to slope behavior and to discard all disturbances. The network features both geophones and meteorological sensors so that we could also explore the correlation between microseismic events and meteorological datasets, although no significant relationships emerged. On the contrary, it was found that the majority of the events collected by the network are short-time high-frequency signals generated by electromagnetic activity caused by near and far thunderstorms. Finally, we attempted a preliminary localization of the most promising events according to an oversimplified homogeneous velocity model to get a rough indication about the regions of the

  13. Current understanding of the human microbiome

    Energy Technology Data Exchange (ETDEWEB)

    Gilbert, Jack A.; Blaser, Martin J.; Caporaso, J. Gregory; Jansson, Janet K.; Lynch, Susan V.; Knight, Rob

    2018-04-10

    Our understanding of the link between the human microbiome and disease, including obesity, inflammatory bowel disease, arthritis and autism, is rapidly expanding. Improvements in the throughput and accuracy of DNA sequencing of the genomes of microbial communities associated with human samples, complemented by analysis of transcriptomes, proteomes, metabolomes and immunomes, and mechanistic experiments in model systems, have vastly improved our ability to understand the structure and function of the microbiome in both diseased and healthy states. However, many challenges remain. In this Review we focus on studies in humans to describe these challenges, and propose strategies that leverage existing knowledge to move rapidly from correlation to causation, and ultimately to translation.

  14. Action word understanding and overt motor behavior.

    Science.gov (United States)

    Dalla Volta, Riccardo; Gianelli, Claudia; Campione, Giovanna Cristina; Gentilucci, Maurizio

    2009-07-01

    Is the motor system involved in language processing? In order to clarify this issue, we carried out three behavioral experiments, using go-no-go and choice paradigms. In all the experiments, we used a semantic decision task with an early delivery of the go signal (during processing language material). Italian verbs expressing hand actions, foot actions or an abstract content served as stimuli. Participants executed intransitive (Experiment 1) or transitive (Experiment 2) actions with their right hand in response to the acoustic presentation of action-related verbs and refrained from responding to abstract verbs. The kinematics of the actions was slowed down by hand action-related verbs when compared with foot action-related verbs. In Experiment 3, hand-related and foot-related verbs were presented. Participants responded to hand-related and foot-related verbs with their hand and their foot (compatible condition) and in another block of trials they responded to hand-related and foot-related verbs with their foot and their hand (incompatible condition), respectively. In the compatible condition, the beginning of the action was faster, whereas the kinematics of the action was slower. The present findings suggest complete activation of verb-related motor programs during language processing. The data are discussed in support of the hypothesis that this complete activation is necessary requisite to understand the exact meaning of action words because goal and consequence of the actions are represented.

  15. Understanding Violent Behavior in Children and Adolescents

    Science.gov (United States)

    ... for Families - Vietnamese Violent Behavior in Children and Adolescents No. 55; December 2015 There is a great ... the incidence of violent behavior among children and adolescents. This complex and troubling issue needs to be ...

  16. Understanding and Managing Self-Injurious Behavior.

    Science.gov (United States)

    Zirpoli, Thomas J.; Lloyd, John Wills

    1987-01-01

    The literature review looks at self-injurious behaviors in handicapped students in terms of characteristics, prevalence, etiology (biological, psychological, and as learned behavior), and management including extinction, positive punishment, negative punishment, and reinforcement of other behaviors. Problems in areas of management, administration,…

  17. Understanding human management of automation errors

    Science.gov (United States)

    McBride, Sara E.; Rogers, Wendy A.; Fisk, Arthur D.

    2013-01-01

    Automation has the potential to aid humans with a diverse set of tasks and support overall system performance. Automated systems are not always reliable, and when automation errs, humans must engage in error management, which is the process of detecting, understanding, and correcting errors. However, this process of error management in the context of human-automation interaction is not well understood. Therefore, we conducted a systematic review of the variables that contribute to error management. We examined relevant research in human-automation interaction and human error to identify critical automation, person, task, and emergent variables. We propose a framework for management of automation errors to incorporate and build upon previous models. Further, our analysis highlights variables that may be addressed through design and training to positively influence error management. Additional efforts to understand the error management process will contribute to automation designed and implemented to support safe and effective system performance. PMID:25383042

  18. Technological advances for studying human behavior

    Science.gov (United States)

    Roske-Hofstrand, Renate J.

    1990-01-01

    Technological advances for studying human behavior are noted in viewgraph form. It is asserted that performance-aiding systems are proliferating without a fundamental understanding of how they would interact with the humans who must control them. Two views of automation research, the hardware view and the human-centered view, are listed. Other viewgraphs give information on vital elements for human-centered research, a continuum of the research process, available technologies, new technologies for persistent problems, a sample research infrastructure, the need for metrics, and examples of data-link technology.

  19. Understanding human aggression: New insights from neuroscience.

    Science.gov (United States)

    Siegel, Allan; Victoroff, Jeff

    2009-01-01

    The present paper reviews and summarizes the basic findings concerning the nature of the neurobiological and behavioral characteristics of aggression and rage. For heuristic purposes, the types of aggression will be reduced to two categories - defensive rage (affective defense) and predatory attack. This approach helps explain both the behavioral properties of aggression as well as the underlying neural substrates and mechanisms of aggression both in animals and humans. Defensive rage behavior is activated by a threatening stimulus that is real or perceived and is associated with marked sympathetic output. This yields impulsivity with minimal cortical involvement. Predatory attack behavior in both animals and humans is generally planned, taking minutes, hours, days, weeks, months, or even years (with respect to humans) for it to occur and is directed upon a specific individual target; it reflects few outward sympathetic signs and is believed to require cortical involvement for its expression. Predatory attack requires activation of the lateral hypothalamus, while defensive rage requires activation of the medial hypothalamus and midbrain periaqueductal gray (PAG). Both forms of aggressive behavior are controlled by components of the limbic system, a region of the forebrain that is influenced by sensory inputs from the cerebral cortex and monoaminergic inputs from the brainstem reticular formation. Control of aggressive tendencies is partly modifiable through conditioning and related learning principles generated through the cerebral cortex.

  20. Global Environmental Change : Understanding the Human Dimensions

    National Research Council Canada - National Science Library

    Stern, Paul C; Druckman, Daniel; Young, Oran R; National Research Council; National Academy of Sciences; Stern, Paul C; Druckman, Daniel

    ... on the Human Dimensions of Global Change Commission on the Behavioral and Social Sciences and Education National Research Council NATIONAL ACADEMY PRESS Washington, D.C. 1992 Copyrightthe cannot be not from book, paper however, version for formatting, original authoritative the typesetting-specific the as from created publication files ...

  1. Global environmental change: understanding the human dimensions

    National Research Council Canada - National Science Library

    Stern, Paul C; Young, Oran R; Druckman, Daniel

    ... on the Human Dimensions of Global Change Commission on the Behavioral and Social Sciences and Education National Research Council NATIONAL ACADEMY PRESS Washington, D.C. 1992 Copyrightthe cannot be not from book, paper however, version for formatting, original authoritative the typesetting-specific the as from created publication files ...

  2. Understanding the human dimensions of a sustainable energy transition.

    Science.gov (United States)

    Steg, Linda; Perlaviciute, Goda; van der Werff, Ellen

    2015-01-01

    Global climate change threatens the health, economic prospects, and basic food and water sources of people. A wide range of changes in household energy behavior is needed to realize a sustainable energy transition. We propose a general framework to understand and encourage sustainable energy behaviors, comprising four key issues. First, we need to identify which behaviors need to be changed. A sustainable energy transition involves changes in a wide range of energy behaviors, including the adoption of sustainable energy sources and energy-efficient technology, investments in energy efficiency measures in buildings, and changes in direct and indirect energy use behavior. Second, we need to understand which factors underlie these different types of sustainable energy behaviors. We discuss three main factors that influence sustainable energy behaviors: knowledge, motivations, and contextual factors. Third, we need to test the effects of interventions aimed to promote sustainable energy behaviors. Interventions can be aimed at changing the actual costs and benefits of behavior, or at changing people's perceptions and evaluations of different costs and benefits of behavioral options. Fourth, it is important to understand which factors affect the acceptability of energy policies and energy systems changes. We discuss important findings from psychological studies on these four topics, and propose a research agenda to further explore these topics. We emphasize the need of an integrated approach in studying the human dimensions of a sustainable energy transition that increases our understanding of which general factors affect a wide range of energy behaviors as well as the acceptability of different energy policies and energy system changes.

  3. Genetic approaches to understanding human obesity

    OpenAIRE

    Ramachandrappa, Shwetha; Farooqi, I. Sadaf

    2011-01-01

    Obesity and its associated comorbidities represent one of the biggest public health challenges facing the world today. The heritability of body weight is high, and genetic variation plays a major role in determining the interindividual differences in susceptibility or resistance to the obesogenic environment. Here we discuss how genetic studies in humans have contributed to our understanding of the central ...

  4. A Hybrid Framework for Understanding and Predicting Human Reaching Motions

    Directory of Open Access Journals (Sweden)

    Ozgur S. Oguz

    2018-03-01

    Full Text Available Robots collaborating naturally with a human partner in a confined workspace need to understand and predict human motions. For understanding, a model-based approach is required as the human motor control system relies on the biomechanical properties to control and execute actions. The model-based control models explain human motions descriptively, which in turn enables predicting and analyzing human movement behaviors. In motor control, reaching motions are framed as an optimization problem. However, different optimality criteria predict disparate motion behavior. Therefore, the inverse problem—finding the optimality criterion from a given arm motion trajectory—is not unique. This paper implements an inverse optimal control (IOC approach to determine the combination of cost functions that governs a motion execution. The results indicate that reaching motions depend on a trade-off between kinematics and dynamics related cost functions. However, the computational efficiency is not sufficient for online prediction to be utilized for HRI. In order to predict human reaching motions with high efficiency and accuracy, we combine the IOC approach with a probabilistic movement primitives formulation. This hybrid model allows an online-capable prediction while taking into account motor variability and the interpersonal differences. The proposed framework affords a descriptive and a generative model of human reaching motions which can be effectively utilized online for human-in-the-loop robot control and task execution.

  5. Human behavior and human performance: Psychomotor demands

    Science.gov (United States)

    1992-01-01

    The results of several experiments are presented in abstract form. These studies are critical for the interpretation and acceptance of flight based science to be conducted by the Behavior and Performance project. Some representative titles are as follow: External audio for IBM/PC compatible computers; A comparative assessment of psychomotor performance (target prediction by humans and macaques); Response path (a dependent measure for computer maze solving and other tasks); Behavioral asymmetries of psychomotor performance in Rhesus monkey (a dissociation between hand preference and skill); Testing primates with joystick based automated apparatus; and Environmental enrichment and performance assessment for ground or flight based research with primates;

  6. Revising the human mutation rate: implications for understanding human evolution.

    Science.gov (United States)

    Scally, Aylwyn; Durbin, Richard

    2012-10-01

    It is now possible to make direct measurements of the mutation rate in modern humans using next-generation sequencing. These measurements reveal a value that is approximately half of that previously derived from fossil calibration, and this has implications for our understanding of demographic events in human evolution and other aspects of population genetics. Here, we discuss the implications of a lower-than-expected mutation rate in relation to the timescale of human evolution.

  7. Mouse models for understanding human developmental anomalies

    International Nuclear Information System (INIS)

    Generoso, W.M.

    1989-01-01

    The mouse experimental system presents an opportunity for studying the nature of the underlying mutagenic damage and the molecular pathogenesis of this class of anomalies by virtue of the accessibility of the zygote and its descendant blastomeres. Such studies could contribute to the understanding of the etiology of certain sporadic but common human malformations. The vulnerability of the zygotes to mutagens as demonstrated in the studies described in this report should be a major consideration in chemical safety evaluation. It raises questions regarding the danger to human zygotes when the mother is exposed to drugs and environmental chemicals

  8. Mouse models for understanding human developmental anomalies

    Energy Technology Data Exchange (ETDEWEB)

    Generoso, W.M.

    1989-01-01

    The mouse experimental system presents an opportunity for studying the nature of the underlying mutagenic damage and the molecular pathogenesis of this class of anomalies by virtue of the accessibility of the zygote and its descendant blastomeres. Such studies could contribute to the understanding of the etiology of certain sporadic but common human malformations. The vulnerability of the zygotes to mutagens as demonstrated in the studies described in this report should be a major consideration in chemical safety evaluation. It raises questions regarding the danger to human zygotes when the mother is exposed to drugs and environmental chemicals.

  9. Conceptual premises for understanding the human security

    OpenAIRE

    Bogdan Ștefanachi

    2012-01-01

    In the framework of globalization, it is possible to conceive an alternative discourse regarding the statute of individual in international relations. This new narrative – a post-positivist one – transforms the individual in the referent object of security. The study stresses the main theoretical transformations appeared within the post-positivist framework of analysis in order to identify the central components of the new understanding of security – human security.

  10. Conceptual premises for understanding the human security

    Directory of Open Access Journals (Sweden)

    Bogdan Ștefanachi

    2012-12-01

    Full Text Available In the framework of globalization, it is possible to conceive an alternative discourse regarding the statute of individual in international relations. This new narrative – a post-positivist one – transforms the individual in the referent object of security. The study stresses the main theoretical transformations appeared within the post-positivist framework of analysis in order to identify the central components of the new understanding of security – human security.

  11. DTIC Review: Human, Social, Cultural and Behavior Modeling. Volume 9, Number 1 (CD-ROM)

    National Research Council Canada - National Science Library

    2008-01-01

    ...: Human, Social, Cultural and Behavior (HSCB) models are designed to help understand the structure, interconnections, dependencies, behavior, and trends associated with any collection of individuals...

  12. Reinforcement learning and human behavior.

    Science.gov (United States)

    Shteingart, Hanan; Loewenstein, Yonatan

    2014-04-01

    The dominant computational approach to model operant learning and its underlying neural activity is model-free reinforcement learning (RL). However, there is accumulating behavioral and neuronal-related evidence that human (and animal) operant learning is far more multifaceted. Theoretical advances in RL, such as hierarchical and model-based RL extend the explanatory power of RL to account for some of these findings. Nevertheless, some other aspects of human behavior remain inexplicable even in the simplest tasks. Here we review developments and remaining challenges in relating RL models to human operant learning. In particular, we emphasize that learning a model of the world is an essential step before or in parallel to learning the policy in RL and discuss alternative models that directly learn a policy without an explicit world model in terms of state-action pairs. Copyright © 2013 Elsevier Ltd. All rights reserved.

  13. The Analysis of Human Behavior in Context

    Science.gov (United States)

    Sidman, Murray

    2004-01-01

    Does the name of the special interest group, "The Experimental Analysis of Human Behavior," imply that those who analyze the behavior of human animals must organize themselves apart from those who analyze the behavior of nonhuman animals? Is the use of nonhumans in experiments really not relevant to the analysis of the behavior of humans? If so,…

  14. Human genetics and sleep behavior.

    Science.gov (United States)

    Shi, Guangsen; Wu, David; Ptáček, Louis J; Fu, Ying-Hui

    2017-06-01

    Why we sleep remains one of the greatest mysteries in science. In the past few years, great advances have been made to better understand this phenomenon. Human genetics has contributed significantly to this movement, as many features of sleep have been found to be heritable. Discoveries about these genetic variations that affect human sleep will aid us in understanding the underlying mechanism of sleep. Here we summarize recent discoveries about the genetic variations affecting the timing of sleep, duration of sleep and EEG patterns. To conclude, we also discuss some of the sleep-related neurological disorders such as Autism Spectrum Disorder (ASD) and Alzheimer's Disease (AD) and the potential challenges and future directions of human genetics in sleep research. Copyright © 2017 Elsevier Ltd. All rights reserved.

  15. Genetic approaches to understanding human obesity.

    Science.gov (United States)

    Ramachandrappa, Shwetha; Farooqi, I Sadaf

    2011-06-01

    Obesity and its associated comorbidities represent one of the biggest public health challenges facing the world today. The heritability of body weight is high, and genetic variation plays a major role in determining the interindividual differences in susceptibility or resistance to the obesogenic environment. Here we discuss how genetic studies in humans have contributed to our understanding of the central pathways that govern energy homeostasis. We discuss how the arrival of technological advances such as next-generation sequencing will result in a major acceleration in the pace of gene discovery. The study of patients harboring these genetic variants has informed our understanding of the molecular and physiological pathways involved in energy homeostasis. We anticipate that future studies will provide the framework for the development of a more rational targeted approach to the prevention and treatment of genetically susceptible individuals.

  16. Understanding the control of ingestive behavior in primates.

    Science.gov (United States)

    Wilson, Mark E; Moore, Carla J; Ethun, Kelly F; Johnson, Zachary P

    2014-06-01

    This article is part of a Special Issue "Energy Balance". Ingestive behavior in free-ranging populations of nonhuman primates is influenced by resource availability and social group organization and provides valuable insight on the evolution of ecologically adaptive behaviors and physiological systems. As captive populations were established, questions regarding proximate mechanisms that regulate food intake in these animals could be more easily addressed. The availability of these captive populations has led to the use of selected species to understand appetite control or metabolic physiology in humans. Recognizing the difficulty of quantitating food intake in free-ranging groups, the use of captive, singly-housed animals provided a distinct advantage though, at the same time, produced a different social ecology from the animals' natural habitat. However, the recent application of novel technologies to quantitate caloric intake and energy expenditure in free-feeding, socially housed monkeys permits prospective studies that can accurately define how food intake changes in response to any number of interventions in the context of a social environment. This review provides an overview of studies examining food intake using captive nonhuman primates organized into three areas: a) neurochemical regulation of food intake in nonhuman primates; b) whether exposure to specific diets during key developmental periods programs differences in diet preferences or changes the expression of feeding related neuropeptides; and c) how psychosocial factors influence appetite regulation. Because feeding patterns are driven by more than just satiety and orexigenic signals, appreciating how the social context influences pattern of feeding in nonhuman primates may be quite informative for understanding the biological complexity of feeding in humans. Copyright © 2014 Elsevier Inc. All rights reserved.

  17. Understanding Usability Work as a Human Activity

    DEFF Research Database (Denmark)

    Nørgaard, Mie

    Three core themes are explored in eight papers: Usability work as a human activity, usability practice and methods, and persuasiveness of evaluation results and feedback. We explore how usability work is much more than methods and work procedures, and argue that maturing our understanding...... of usability work to include a human perspective, is crucial to downstream utility—how usability work impacts the on-going development process. Our work shows that cross-professional collaboration is subject to challenges that arise from stakeholders having conflicting priorities, procedures and personalities....... Such challenges include evaluation results lacking relevance, poor timing of evaluation results, little respect for other disciplines, and difficulties sharing important information about a design. The studies of practical usability work suggest that user researchers working with computer games and task oriented...

  18. Chol understandings of suicide and human agency.

    Science.gov (United States)

    Imberton, Gracia

    2012-06-01

    According to ethnographic material collected since 2003, the Chol Mayan indigenous people in southern Mexico have different causal explanations for suicide. It can be attributed to witchcraft that forces victims to take their lives against their own will, to excessive drinking, or to fate determined by God. However, it can also be conceived of as a conscious decision made by a person overwhelmed by daily problems. Drawing from the theoretical framework developed by Laura M. Ahearn, inspired by practice theory, the paper contends that these different explanations operate within two different logics or understandings of human agency. The first logic attributes responsibility to supernatural causes such as witchcraft or divine destiny, and reflects Chol notions of personhood. The second logic accepts personal responsibility for suicide, and is related to processes of social change such as the introduction of wage labor, education and a market economy. The contemporary Chol resort to both logics to make sense of the human drama of suicide.

  19. Understanding the Implications of Neural Population Activity on Behavior

    Science.gov (United States)

    Briguglio, John

    Learning how neural activity in the brain leads to the behavior we exhibit is one of the fundamental questions in Neuroscience. In this dissertation, several lines of work are presented to that use principles of neural coding to understand behavior. In one line of work, we formulate the efficient coding hypothesis in a non-traditional manner in order to test human perceptual sensitivity to complex visual textures. We find a striking agreement between how variable a particular texture signal is and how sensitive humans are to its presence. This reveals that the efficient coding hypothesis is still a guiding principle for neural organization beyond the sensory periphery, and that the nature of cortical constraints differs from the peripheral counterpart. In another line of work, we relate frequency discrimination acuity to neural responses from auditory cortex in mice. It has been previously observed that optogenetic manipulation of auditory cortex, in addition to changing neural responses, evokes changes in behavioral frequency discrimination. We are able to account for changes in frequency discrimination acuity on an individual basis by examining the Fisher information from the neural population with and without optogenetic manipulation. In the third line of work, we address the question of what a neural population should encode given that its inputs are responses from another group of neurons. Drawing inspiration from techniques in machine learning, we train Deep Belief Networks on fake retinal data and show the emergence of Garbor-like filters, reminiscent of responses in primary visual cortex. In the last line of work, we model the state of a cortical excitatory-inhibitory network during complex adaptive stimuli. Using a rate model with Wilson-Cowan dynamics, we demonstrate that simple non-linearities in the signal transferred from inhibitory to excitatory neurons can account for real neural recordings taken from auditory cortex. This work establishes and tests

  20. Towards a better understanding of human smuggling

    OpenAIRE

    Heckmann, Friedrich

    2007-01-01

    Contents: What is human smuggling?; How can we know about human smuggling?; Human smuggling as a migration phenomenon; Human smuggling as a business; The social organizing of human smuggling; Fighting against human smuggling.

  1. Understanding Editing Behaviors in Multilingual Wikipedia.

    Science.gov (United States)

    Kim, Suin; Park, Sungjoon; Hale, Scott A; Kim, Sooyoung; Byun, Jeongmin; Oh, Alice H

    2016-01-01

    Multilingualism is common offline, but we have a more limited understanding of the ways multilingualism is displayed online and the roles that multilinguals play in the spread of content between speakers of different languages. We take a computational approach to studying multilingualism using one of the largest user-generated content platforms, Wikipedia. We study multilingualism by collecting and analyzing a large dataset of the content written by multilingual editors of the English, German, and Spanish editions of Wikipedia. This dataset contains over two million paragraphs edited by over 15,000 multilingual users from July 8 to August 9, 2013. We analyze these multilingual editors in terms of their engagement, interests, and language proficiency in their primary and non-primary (secondary) languages and find that the English edition of Wikipedia displays different dynamics from the Spanish and German editions. Users primarily editing the Spanish and German editions make more complex edits than users who edit these editions as a second language. In contrast, users editing the English edition as a second language make edits that are just as complex as the edits by users who primarily edit the English edition. In this way, English serves a special role bringing together content written by multilinguals from many language editions. Nonetheless, language remains a formidable hurdle to the spread of content: we find evidence for a complexity barrier whereby editors are less likely to edit complex content in a second language. In addition, we find that multilinguals are less engaged and show lower levels of language proficiency in their second languages. We also examine the topical interests of multilingual editors and find that there is no significant difference between primary and non-primary editors in each language.

  2. Understanding Editing Behaviors in Multilingual Wikipedia.

    Directory of Open Access Journals (Sweden)

    Suin Kim

    Full Text Available Multilingualism is common offline, but we have a more limited understanding of the ways multilingualism is displayed online and the roles that multilinguals play in the spread of content between speakers of different languages. We take a computational approach to studying multilingualism using one of the largest user-generated content platforms, Wikipedia. We study multilingualism by collecting and analyzing a large dataset of the content written by multilingual editors of the English, German, and Spanish editions of Wikipedia. This dataset contains over two million paragraphs edited by over 15,000 multilingual users from July 8 to August 9, 2013. We analyze these multilingual editors in terms of their engagement, interests, and language proficiency in their primary and non-primary (secondary languages and find that the English edition of Wikipedia displays different dynamics from the Spanish and German editions. Users primarily editing the Spanish and German editions make more complex edits than users who edit these editions as a second language. In contrast, users editing the English edition as a second language make edits that are just as complex as the edits by users who primarily edit the English edition. In this way, English serves a special role bringing together content written by multilinguals from many language editions. Nonetheless, language remains a formidable hurdle to the spread of content: we find evidence for a complexity barrier whereby editors are less likely to edit complex content in a second language. In addition, we find that multilinguals are less engaged and show lower levels of language proficiency in their second languages. We also examine the topical interests of multilingual editors and find that there is no significant difference between primary and non-primary editors in each language.

  3. Nonlinear dynamics in human behavior

    Energy Technology Data Exchange (ETDEWEB)

    Huys, Raoul [Centre National de la Recherche Scientifique (CNRS), 13 - Marseille (France); Marseille Univ. (France). Movement Science Inst.; Jirsa, Viktor K. (eds.) [Centre National de la Recherche Scientifique (CNRS), 13 - Marseille (France); Marseille Univ. (France). Movement Science Inst.; Florida Atlantic Univ., Boca Raton, FL (United States). Center for Complex Systems and Brain Sciences

    2010-07-01

    Humans engage in a seemingly endless variety of different behaviors, of which some are found across species, while others are conceived of as typically human. Most generally, behavior comes about through the interplay of various constraints - informational, mechanical, neural, metabolic, and so on - operating at multiple scales in space and time. Over the years, consensus has grown in the research community that, rather than investigating behavior only from bottom up, it may be also well understood in terms of concepts and laws on the phenomenological level. Such top down approach is rooted in theories of synergetics and self-organization using tools from nonlinear dynamics. The present compendium brings together scientists from all over the world that have contributed to the development of their respective fields departing from this background. It provides an introduction to deterministic as well as stochastic dynamical systems and contains applications to motor control and coordination, visual perception and illusion, as well as auditory perception in the context of speech and music. (orig.)

  4. Megascale processes: Natural disasters and human behavior

    Science.gov (United States)

    Kieffer, S.W.; Barton, P.; Chesworth, W.; Palmer, A.R.; Reitan, P.; Zen, E.-A.

    2009-01-01

    Megascale geologic processes, such as earthquakes, tsunamis, volcanic eruptions, floods, and meteoritic impacts have occurred intermittently throughout geologic time, and perhaps on several planets. Unlike other catastrophes discussed in this volume, a unique process is unfolding on Earth, one in which humans may be the driving agent of megadisasters. Although local effects on population clusters may have been catastrophic in the past, human societies have never been interconnected globally at the scale that currently exists. We review some megascale processes and their effects in the past, and compare present conditions and possible outcomes. We then propose that human behavior itself is having effects on the planet that are comparable to, or greater than, these natural disasters. Yet, unlike geologic processes, human behavior is potentially under our control. Because the effects of our behavior threaten the stability, or perhaps even existence, of a civilized society, we call for the creation of a body to institute coherent global, credible, scientifi cally based action that is sensitive to political, economic, religious, and cultural values. The goal would be to institute aggressive monitoring, identify and understand trends, predict their consequences, and suggest and evaluate alternative actions to attempt to rescue ourselves and our ecosystems from catastrophe. We provide a template modeled after several existing national and international bodies. ?? 2009 The Geological Society of America.

  5. Towards a better understanding of consumer behavior : Marginal Utility as a parameter in Neuromarketing research

    NARCIS (Netherlands)

    Alvino, Letizia; Constantinides, Efthymios; Franco, Massimo

    2017-01-01

    Understanding consumers’ decision-making process is a recurrent goal in Marketing. However, the traditional tools used in marketing, such as surveys, personal interviews and participant observations are often inadequate to analyze and understand human behavior. Since consumer decisions are often

  6. Human behavior in different TDRAs.

    Science.gov (United States)

    Liu, Yanfeng; Wang, Lijuan; Liu, Jiaping; Di, Yuhui

    2013-07-02

    Operative temperature is a synthesis index for radiant temperature and air temperature. The objective of this paper was to investigate human behavior in the environment that the temperature difference between radiant and air temperature (TDRA) was 0, 5, 8 and 10°C. The four types of TDRA were controlled in two operative temperatures, 28 and 32°C. The skin temperatures, thermal sensation vote (TSV) and thermal comfort vote (TCV) were recorded. The results showed that when TDRA was 0-5°C, the mean skin temperature (MST) had no change, and the local skin temperature (LST) had little change except for face and upper arm. However, when TDRA was above 5°C, the MST and LST decreased with the increment of TDRA. During the whole course that TDRA increased from 0 to 10°C, the thermal sensation changed from warm to cool. So in high radiant temperature, human body could keep normal skin temperature and thermal comfort by decreasing air temperature. The conclusions were significant for the physiological behavior of human. Copyright © 2013 Elsevier Inc. All rights reserved.

  7. Understanding human perception by human-made illusions.

    Science.gov (United States)

    Carbon, Claus-Christian

    2014-01-01

    IT MAY BE FUN TO PERCEIVE ILLUSIONS, BUT THE UNDERSTANDING OF HOW THEY WORK IS EVEN MORE STIMULATING AND SUSTAINABLE: They can tell us where the limits and capacity of our perceptual apparatus are found-they can specify how the constraints of perception are set. Furthermore, they let us analyze the cognitive sub-processes underlying our perception. Illusions in a scientific context are not mainly created to reveal the failures of our perception or the dysfunctions of our apparatus, but instead point to the specific power of human perception. The main task of human perception is to amplify and strengthen sensory inputs to be able to perceive, orientate and act very quickly, specifically and efficiently. The present paper strengthens this line of argument, strongly put forth by perceptual pioneer Richard L. Gregory (e.g., Gregory, 2009), by discussing specific visual illusions and how they can help us to understand the magic of perception.

  8. Multifractal formalisms of human behavior.

    Science.gov (United States)

    Ihlen, Espen A F; Vereijken, Beatrix

    2013-08-01

    With the mounting realization that variability is an inevitable part of human behavior comes the need to integrate this phenomenon in concomitant models and theories of motor control. Among other things, this has resulted in a debate throughout the last decades about the origin of variability in behavior, the outcome of which has important implications for motor control theories. To date, a monofractal formalism of variability has been used as the basis for arguing for component- versus interaction-oriented theories of motor control. However, monofractal formalism alone cannot decide between the opposing sides of the debate. The present theoretical overview introduces multifractal formalisms as a necessary extension of the conventional monofractal formalism. In multifractal formalisms, the scale invariance of behavior is numerically defined as a spectrum of scaling exponents, rather than a single average exponent as in the monofractal formalism. Several methods to estimate the multifractal spectrum of scaling exponents - all within two multifractal formalisms called large deviation and Legendre formalism - are introduced and briefly discussed. Furthermore, the multifractal analyses within these two formalisms are applied to several performance tasks to illustrate how explanations of motor control vary with the methods used. The main section of the theoretical overview discusses the implications of multifractal extensions of the component- and interaction-oriented models for existing theories of motor control. Copyright © 2013 Elsevier B.V. All rights reserved.

  9. The human side of animal behavior

    OpenAIRE

    Lattal, Kennon A.

    2001-01-01

    An important element of behavioral research with nonhuman animals is that insights are drawn from it about human behavior, what is called here the human side of animal behavior. This article examines the origins of comparing human behavior to that of other animals, the ways in which such comparisons are described, and considerations that arise in evaluating the validity of those comparisons. The rationale for such an approach originated in the reductionism of experimental physiology and the u...

  10. Human Rights and Behavior Modification

    Science.gov (United States)

    Roos, Philip

    1974-01-01

    Criticisms of behavior modification, which charge that it violates ethical and legal principles, are discussed and reasons are presented to explain behavior modification's susceptibility to attack. (GW)

  11. Understanding human trafficking in the United States.

    Science.gov (United States)

    Logan, T K; Walker, Robert; Hunt, Gretchen

    2009-01-01

    The topic of modern-day slavery or human trafficking has received increased media and national attention. However, to date there has been limited research on the nature and scope of human trafficking in the United States. This article describes and synthesizes nine reports that assess the U.S. service organizations' legal representative knowledge of, and experience with, human trafficking cases, as well as information from actual cases and media reports. This article has five main goals: (a) to define what human trafficking is, and is not; (b) to describe factors identified as contributing to vulnerability to being trafficked and keeping a person entrapped in the situation; (c) to examine how the crime of human trafficking differs from other kinds of crimes in the United States; (d) to explore how human trafficking victims are identified; and, (e) to provide recommendations to better address human trafficking in the United States.

  12. Understanding How Domestic Violence Affects Behavior in High School Students

    Science.gov (United States)

    Frank, Malika

    2011-01-01

    This paper will provide the reader with an understanding of how domestic violence affects the behavior of high school students. The presentation is designed to provide the reader with a working definition of domestic violence, the rate of occurrence and its effects on high school students. Additionally the paper will summarize the negative effects…

  13. Children's Understanding of Display Rules for Expressive Behavior.

    Science.gov (United States)

    Saarni, Carolyn

    1979-01-01

    Examined how children come to understand that internally experienced affect need not be behaviorally expressed and that the emotion that is expressed is not necessarily what is being felt internally. Sixty elementary school students were interviewed about four interpersonal conflict situations presented in comic strip style but using photographs…

  14. Understanding child sexual behavior problems: a developmental psychopathology framework.

    Science.gov (United States)

    Elkovitch, Natasha; Latzman, Robert D; Hansen, David J; Flood, Mary Fran

    2009-11-01

    Children exhibiting sexual behavior have increasingly gained the attention of child welfare and mental health systems, as well as the scientific community. While a heterogeneous group, children with sexual behavior problems consistently demonstrate a number of problems related to adjustment and overall development. In order to appropriately intervene with these children, a comprehensive understanding of etiology is imperative. The overarching goal of the present paper is to review the extant research on mechanisms associated with the development of problematic sexual behavior in childhood within a developmental psychopathology framework. What is known about normative and nonnormative sexual behavior in childhood is reviewed, highlighting definitional challenges and age-related developmental differences. Further, the relationship between child sexual abuse and child sexual behavior problems is discussed, drawing attention to factors impacting this relationship. Risk factors for child sexual behavior problems, beyond that of sexual abuse, are also reviewed utilizing a transactional-ecological framework. Finally, we conclude with a discussion of implications of a developmental psychopathology perspective on problematic child sexual behaviors to inform future research and intervention efforts. Such implications include the need for attention to normative childhood sexual behavior, developmental sensitivity, and examinations of ecological domain in concert.

  15. Global Environmental change: Understanding the Human Dimensions

    International Nuclear Information System (INIS)

    Morrisette, P.M.

    1993-01-01

    This book is from the National Research Council's Committee on the Human dimensions of Global Change. The object is to examine what is known about human dimensions of global environmental change, identify the major immediate needs for knowledge, and recommend a strategy over the next 5-10 years. Case studies are used in human causes of global change. issues related to theory, methods, and data are covered, as well as institutional needs for interdicipinary approaches

  16. Designing Graphs that Promote Both Risk Understanding and Behavior Change.

    Science.gov (United States)

    Okan, Yasmina; Stone, Eric R; Bruine de Bruin, Wändi

    2017-10-03

    Graphs show promise for improving communications about different types of risks, including health risks, financial risks, and climate risks. However, graph designs that are effective at meeting one important risk communication goal (promoting risk-avoidant behaviors) can at the same time compromise another key goal (improving risk understanding). We developed and tested simple bar graphs aimed at accomplishing these two goals simultaneously. We manipulated two design features in graphs, namely, whether graphs depicted the number of people affected by a risk and those at risk of harm ("foreground+background") versus only those affected ("foreground-only"), and the presence versus absence of simple numerical labels above bars. Foreground-only displays were associated with larger risk perceptions and risk-avoidant behavior (i.e., willingness to take a drug for heart attack prevention) than foreground+background displays, regardless of the presence of labels. Foreground-only graphs also hindered risk understanding when labels were not present. However, the presence of labels significantly improved understanding, eliminating the detrimental effect of foreground-only displays. Labels also led to more positive user evaluations of the graphs, but did not affect risk-avoidant behavior. Using process modeling we identified mediators (risk perceptions, understanding, user evaluations) that explained the effect of display type on risk-avoidant behavior. Our findings contribute new evidence to the graph design literature: unlike what was previously feared, we demonstrate that it is possible to design foreground-only graphs that promote intentions for behavior change without a detrimental effect on risk understanding. Implications for the design of graphical risk communications and decision support are discussed. © 2017 Society for Risk Analysis.

  17. Cognitive neuroscience robotics B analytic approaches to human understanding

    CERN Document Server

    Ishiguro, Hiroshi; Asada, Minoru; Osaka, Mariko; Fujikado, Takashi

    2016-01-01

    Cognitive Neuroscience Robotics is the first introductory book on this new interdisciplinary area. This book consists of two volumes, the first of which, Synthetic Approaches to Human Understanding, advances human understanding from a robotics or engineering point of view. The second, Analytic Approaches to Human Understanding, addresses related subjects in cognitive science and neuroscience. These two volumes are intended to complement each other in order to more comprehensively investigate human cognitive functions, to develop human-friendly information and robot technology (IRT) systems, and to understand what kind of beings we humans are. Volume B describes to what extent cognitive science and neuroscience have revealed the underlying mechanism of human cognition, and investigates how development of neural engineering and advances in other disciplines could lead to deep understanding of human cognition.

  18. Understanding human action: integrating meanings, mechanisms, causes, and contexts

    NARCIS (Netherlands)

    Keestra, M.; Repko, A.F.; Newell, W.H.; Szostak, R.

    2012-01-01

    Humans are capable of understanding an incredible variety of actions performed by other humans. Even though these range from primary biological actions like eating and fleeing, to acts in parliament or in poetry, humans generally can make sense of each other’s actions. Understanding other people’s

  19. Understanding predictability and exploration in human mobility

    DEFF Research Database (Denmark)

    Cuttone, Andrea; Jørgensen, Sune Lehmann; González, Marta C.

    2018-01-01

    Predictive models for human mobility have important applications in many fields including traffic control, ubiquitous computing, and contextual advertisement. The predictive performance of models in literature varies quite broadly, from over 90% to under 40%. In this work we study which underlying...... strong influence on the accuracy of prediction. Finally we reveal that the exploration of new locations is an important factor in human mobility, and we measure that on average 20-25% of transitions are to new places, and approx. 70% of locations are visited only once. We discuss how these mechanisms...... are important factors limiting our ability to predict human mobility....

  20. Understanding Human Error Based on Automated Analyses

    Data.gov (United States)

    National Aeronautics and Space Administration — This is a report on a continuing study of automated analyses of experiential textual reports to gain insight into the causal factors of human errors in aviation...

  1. Mimesis: Linking Postmodern Theory to Human Behavior

    Science.gov (United States)

    Dybicz, Phillip

    2010-01-01

    This article elaborates mimesis as a theory of causality used to explain human behavior. Drawing parallels to social constructionism's critique of positivism and naturalism, mimesis is offered as a theory of causality explaining human behavior that contests the current dominance of Newton's theory of causality as cause and effect. The contestation…

  2. Rational Emotive Behavior Therapy: Humanism in Action.

    Science.gov (United States)

    Hill, Larry K.

    1996-01-01

    Claims that humanism, in both concept and philosophy, is encased in a literature that is predominantly abstract, making humanism difficult to translate into tangible day-to-day action. Argues that rational emotive behavior therapy (REBT), however, provides a detailed method for translating humanist concepts into humanist behavior. (RJM)

  3. The implications of human behavior on teamwork

    OpenAIRE

    Mirela Dogaru; Robert Chira

    2013-01-01

    The acceptability of behavior is evaluated according to the social norms of social control is adjusted. Personality types of individuals are part of human behavior is the most important issue that creates a certain type of behavior, always a topic of analysis and discussion for a lot of specialists who are experimenting and researching this area.

  4. Behavioral Pharmacology of Human Drug Dependence

    Science.gov (United States)

    1981-07-01

    Preface John Gr bowski and J. kfichaeZ Walsh ... ........... . INTRODUCTION AND OVERVIEW Behavioral Mechanisms and Loci of Drug Dependence: An...Overview f I t£ Behavioral Mechanisms and Loci of Drug Dependence: An Overview Travis Thompson, Ph.D. The search for a more thorough understanding of the...even the output of genius . A central question revolves around the sources of unusual amounts of behavior, whether we consider that behavior good, bad, or

  5. Understanding Eating Behaviors through Parental Communication and the Integrative Model of Behavioral Prediction.

    Science.gov (United States)

    Scheinfeld, Emily; Shim, Minsun

    2017-05-01

    Emerging adulthood (EA) is an important yet overlooked period for developing long-term health behaviors. During these years, emerging adults adopt health behaviors that persist throughout life. This study applies the Integrative Model of Behavioral Prediction (IMBP) to examine the role of childhood parental communication in predicting engagement in healthful eating during EA. Participants included 239 college students, ages 18 to 25, from a large university in the southern United States. Participants were recruited and data collection occurred spring 2012. Participants responded to measures to assess perceived parental communication, eating behaviors, attitudes, subjective norms, and behavioral control over healthful eating. SEM and mediation analyses were used to address the hypotheses posited. Data demonstrated that perceived parent-child communication - specifically, its quality and target-specific content - significantly predicted emerging adults' eating behaviors, mediated through subjective norm and perceived behavioral control. This study sets the stage for further exploration and understanding of different ways parental communication influences emerging adults' healthy behavior enactment.

  6. Video-CRM: understanding customer behaviors in stores

    Science.gov (United States)

    Haritaoglu, Ismail; Flickner, Myron; Beymer, David

    2013-03-01

    This paper describes two real-time computer vision systems created 10 years ago that detect and track people in stores to obtain insights of customer behavior while shopping. The first system uses a single color camera to identify shopping groups in the checkout line. Shopping groups are identified by analyzing the inter-body distances coupled with the cashier's activities to detect checkout transactions start and end times. The second system uses multiple overhead narrow-baseline stereo cameras to detect and track people, their body posture and parts to understand customer interactions with products such as "customer picking a product from a shelf". In pilot studies both systems demonstrated real-time performance and sufficient accuracy to enable more detailed understanding of customer behavior and extract actionable real-time retail analytics.

  7. Rasmussen's model of human behavior in laparoscopy training.

    Science.gov (United States)

    Wentink, M; Stassen, L P S; Alwayn, I; Hosman, R J A W; Stassen, H G

    2003-08-01

    Compared to aviation, where virtual reality (VR) training has been standardized and simulators have proven their benefits, the objectives, needs, and means of VR training in minimally invasive surgery (MIS) still have to be established. The aim of the study presented is to introduce Rasmussen's model of human behavior as a practical framework for the definition of the training objectives, needs, and means in MIS. Rasmussen distinguishes three levels of human behavior: skill-, rule-, and knowledge-based behaviour. The training needs of a laparoscopic novice can be determined by identifying the specific skill-, rule-, and knowledge-based behavior that is required for performing safe laparoscopy. Future objectives of VR laparoscopy trainers should address all three levels of behavior. Although most commercially available simulators for laparoscopy aim at training skill-based behavior, especially the training of knowledge-based behavior during complications in surgery will improve safety levels. However, the cost and complexity of a training means increases when the training objectives proceed from the training of skill-based behavior to the training of complex knowledge-based behavior. In aviation, human behavior models have been used successfully to integrate the training of skill-, rule-, and knowledge-based behavior in a full flight simulator. Understanding surgeon behavior is one of the first steps towards a future full-scale laparoscopy simulator.

  8. Applied behavior analysis: understanding and changing behavior in the community-a representative review.

    Science.gov (United States)

    Luyben, Paul D

    2009-01-01

    Applied behavior analysis, a psychological discipline, has been characterized as the science of behavior change (Chance, 2006). Research in applied behavior analysis has been published for approximately 40 years since the initial publication of the Journal of Applied Behavior Analysis in 1968. The field now encompasses a wide range of human behavior. Although much of the published research centers on problem behaviors that occur in schools and among people with disabilities, a substantial body of knowledge has emerged in community settings. This article provides a review of the behavioral community research published in the Journal of Applied Behavior Analysis as representative of this work, including research in the areas of home and family, health, safety, community involvement and the environment, recreation and sports, crime and delinquency, and organizations. In the interest of space, research in schools and with people with disabilities has been excluded from this review.

  9. Automated Evaluation System for Human Pupillary Behavior.

    Science.gov (United States)

    Silva, Cleyton Rafael Gomes; Gonçalves, Cristhiane; Camilo, Eduardo N R; Boaretti Dos Santos, Fabio; Siqueira, Joyce; de Albuquerque, Eduardo Simões; de Melo Nunes Soares, Fabrízzio Alphonsus Alves; de Oliveira, Leandro Luís Galdino; da Costa, Ronaldo Martins

    2017-01-01

    Analyzing human pupillary behavior is a non-invasive method for evaluating neurological activity. This method contributes to the medical field because changes in pupillary behavior can be correlated with several health conditions such as Parkinson, Alzheimer, autism and diabetes. Analyzing human pupillary behavior is simple and low-cost, and may be used as a complementary diagnosis. Therefore, this work aims to develop an automated system to evaluate human pupillary behavior. The solution consists of a portable recording device, a pupillometer; integrated with a recording and evaluation software based on computer vision. The system is able to stimulate, record, measure and extract relevant features of human pupillary behavior. The results show that the proposed system is fast and accurate, and can be used as an assessment tool for real and extensive clinical practice and research.

  10. [Human nature--understanding psychology in Nietzsche].

    Science.gov (United States)

    Dieckhöfer, K

    1980-01-01

    It was tried to show some decisive and essential points of the psychological analyses contained in the complex work of the philosopher Nietzsche. The extent of his knowledge of man and his changeability constitutes here the field of an understanding, "unmasking" psychology with a sociological-historical touch. The thorough, slow ("lento") study of the original sources on the part of the master of a "connaisseurship of the word" seems to be indispensable for any reader trying to occupy himself with Nietzsche in a work of his own and the questions arising therefrom.

  11. Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language

    Science.gov (United States)

    Narayanan, Shrikanth; Georgiou, Panayiotis G.

    2013-01-01

    The expression and experience of human behavior are complex and multimodal and characterized by individual and contextual heterogeneity and variability. Speech and spoken language communication cues offer an important means for measuring and modeling human behavior. Observational research and practice across a variety of domains from commerce to healthcare rely on speech- and language-based informatics for crucial assessment and diagnostic information and for planning and tracking response to an intervention. In this paper, we describe some of the opportunities as well as emerging methodologies and applications of human behavioral signal processing (BSP) technology and algorithms for quantitatively understanding and modeling typical, atypical, and distressed human behavior with a specific focus on speech- and language-based communicative, affective, and social behavior. We describe the three important BSP components of acquiring behavioral data in an ecologically valid manner across laboratory to real-world settings, extracting and analyzing behavioral cues from measured data, and developing models offering predictive and decision-making support. We highlight both the foundational speech and language processing building blocks as well as the novel processing and modeling opportunities. Using examples drawn from specific real-world applications ranging from literacy assessment and autism diagnostics to psychotherapy for addiction and marital well being, we illustrate behavioral informatics applications of these signal processing techniques that contribute to quantifying higher level, often subjectively described, human behavior in a domain-sensitive fashion. PMID:24039277

  12. Understanding the complexity of human gait dynamics

    Science.gov (United States)

    Scafetta, Nicola; Marchi, Damiano; West, Bruce J.

    2009-06-01

    Time series of human gait stride intervals exhibit fractal and multifractal properties under several conditions. Records from subjects walking at normal, slow, and fast pace speed are analyzed to determine changes in the fractal scalings as a function of the stress condition of the system. Records from subjects with different age from children to elderly and patients suffering from neurodegenerative disease are analyzed to determine changes in the fractal scalings as a function of the physical maturation or degeneration of the system. A supercentral pattern generator model is presented to simulate the above two properties that are typically found in dynamical network performance: that is, how a dynamical network responds to stress and to evolution.

  13. Humanism and Behaviorism in Psychology: Theory and Practice

    Science.gov (United States)

    Smith, M. Brewster

    1978-01-01

    As a contribution to the dialogue between humanism and behaviorism, this research questions the basis of recent trends toward a more consensual mutual accomodations of perspectives. Briefly reviews the behaviorist and humanist movements. Recommends a dialectical interplay of polarities combining causal understanding from a point external to the…

  14. A Culture-Behavior-Brain Loop Model of Human Development.

    Science.gov (United States)

    Han, Shihui; Ma, Yina

    2015-11-01

    Increasing evidence suggests that cultural influences on brain activity are associated with multiple cognitive and affective processes. These findings prompt an integrative framework to account for dynamic interactions between culture, behavior, and the brain. We put forward a culture-behavior-brain (CBB) loop model of human development that proposes that culture shapes the brain by contextualizing behavior, and the brain fits and modifies culture via behavioral influences. Genes provide a fundamental basis for, and interact with, the CBB loop at both individual and population levels. The CBB loop model advances our understanding of the dynamic relationships between culture, behavior, and the brain, which are crucial for human phylogeny and ontogeny. Future brain changes due to cultural influences are discussed based on the CBB loop model. Copyright © 2015 Elsevier Ltd. All rights reserved.

  15. Systematic behavior research for understanding consumer decision making.

    Science.gov (United States)

    Lin, Chin-Feng

    2009-05-01

    This study incorporates means-end chain (MEC) theory and dynamic programming for understanding the implications of consumer decision making. The conceptual framework of this study can help programmers design information systems for analyzing consumption behaviors. Such analyses will provide marketers with meaningful information for formulating marketing strategies. The main contributions of this article are as follows: (1) to enable researchers to obtain information for consumer cognitive hierarchies utilizing an information system, (2) to enhance the functions of traditional MEC methodology and provide an integrated method for analyzing consumption information, and (3) to construct an information system for analyzing consumer decision-making processes.

  16. Neurobiological considerations in understanding behavioral treatments for pathological gambling.

    Science.gov (United States)

    Potenza, Marc N; Balodis, Iris M; Franco, Christine A; Bullock, Scott; Xu, Jiansong; Chung, Tammy; Grant, Jon E

    2013-06-01

    Pathological gambling (PG), a disorder currently categorized as an impulse-control disorder but being considered as a nonsubstance addiction in Diagnostic and Statistical Manual of Mental Disorders (5th ed.) discussions, represents a significant public health concern. Over the past decade, considerable advances have been made with respect to understanding the biological underpinnings of PG. Research has also demonstrated the efficacies of multiple treatments, particularly behavioral therapies, for treating PG. Despite these advances, relatively little is known regarding how biological measures, particularly those assessing brain function, relate to treatments for PG. In this article, we present a conceptual review focusing on the neurobiology of behavioral therapies for PG. To illustrate issues related to study design, we present proof-of-concept preliminary data that link Stroop-related brain activations prior to treatment onset to treatment outcome in individuals with PG receiving a cognitive-behavioral treatment incorporating aspects of imaginal desensitization and motivational interviewing. We conclude with recommendations about current and future directions regarding how to incorporate and translate biological findings into improved therapies for individuals with nonsubstance and substance addictions. 2013 APA, all rights reserved

  17. Neurobiological considerations in understanding behavioral treatments for pathological gambling

    Science.gov (United States)

    Potenza, Marc N.; Balodis, Iris M.; Franco, Christine A.; Bullock, Scott; Xu, Jiansong; Chung, Tammy; Grant, Jon E.

    2013-01-01

    Pathological gambling (PG), a disorder currently categorized as an impulse-control disorder but being considered as a non-substance addiction in DSM-5 discussions, represents a significant public health concern. Over the past decade, considerable advances have been made with respect to understanding the biological underpinnings of PG. Research has also demonstrated the efficacies of multiple treatments, particularly behavioral therapies, for treating PG. Despite these advances, relatively little is known regarding how biological measures, particularly those assessing brain function, relate to treatments for PG. In this article, we present a conceptual review focusing on the neurobiology of behavioral therapies for PG. To illustrate issues related to study design, we present proof-of-concept preliminary data that link Stroop-related brain activations prior to treatment onset to treatment outcome in individuals with PG receiving a cognitive behavioral treatment incorporating aspects of imaginal desensitization and motivational interviewing. We conclude with recommendations about current and future directions regarding how to incorporate and translate biological findings into improved therapies for individuals with non-substance and substance addictions. PMID:23586456

  18. Simulating human behavior for national security human interactions.

    Energy Technology Data Exchange (ETDEWEB)

    Bernard, Michael Lewis; Hart, Dereck H.; Verzi, Stephen J.; Glickman, Matthew R.; Wolfenbarger, Paul R.; Xavier, Patrick Gordon

    2007-01-01

    This 3-year research and development effort focused on what we believe is a significant technical gap in existing modeling and simulation capabilities: the representation of plausible human cognition and behaviors within a dynamic, simulated environment. Specifically, the intent of the ''Simulating Human Behavior for National Security Human Interactions'' project was to demonstrate initial simulated human modeling capability that realistically represents intra- and inter-group interaction behaviors between simulated humans and human-controlled avatars as they respond to their environment. Significant process was made towards simulating human behaviors through the development of a framework that produces realistic characteristics and movement. The simulated humans were created from models designed to be psychologically plausible by being based on robust psychological research and theory. Progress was also made towards enhancing Sandia National Laboratories existing cognitive models to support culturally plausible behaviors that are important in representing group interactions. These models were implemented in the modular, interoperable, and commercially supported Umbra{reg_sign} simulation framework.

  19. Drugs, Society, and Human Behavior.

    Science.gov (United States)

    Ray, Oakley

    The varied aspects of drugs, their source, abuse, chemical composition, and physical, personal, and social effects are explored. Seven units cover the following areas: (1) an overview on drug use, a brief history of drugs and discussion of social implications; (2) the human nervous system and the actions of drugs; (3) "nondrug drugs" such as…

  20. Influence of human behavior on cholera dynamics.

    Science.gov (United States)

    Wang, Xueying; Gao, Daozhou; Wang, Jin

    2015-09-01

    This paper is devoted to studying the impact of human behavior on cholera infection. We start with a cholera ordinary differential equation (ODE) model that incorporates human behavior via modeling disease prevalence dependent contact rates for direct and indirect transmissions and infectious host shedding. Local and global dynamics of the model are analyzed with respect to the basic reproduction number. We then extend the ODE model to a reaction-convection-diffusion partial differential equation (PDE) model that accounts for the movement of both human hosts and bacteria. Particularly, we investigate the cholera spreading speed by analyzing the traveling wave solutions of the PDE model, and disease threshold dynamics by numerically evaluating the basic reproduction number of the PDE model. Our results show that human behavior can reduce (a) the endemic and epidemic levels, (b) cholera spreading speeds and (c) the risk of infection (characterized by the basic reproduction number). Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.

  1. Human Behavior is Extremely Predictable

    Science.gov (United States)

    de Deo, Simon

    The basic goal of the sciences is to point to, and explain, emergent phenomena: what we would not have guessed given what we knew before. This lack of predictability can come from a change of scale (more is different; physics), a change of descriptive language (lost in translation; the human sciences), or just patience on the part of the observer (self-organization; biology). Nothing worth knowing can be predicted...

  2. Common and divergent psychobiological mechanisms underlying maternal behaviors in non-human and human mammals

    Science.gov (United States)

    Lonstein, Joseph S.; Lévy, Frédéric; Fleming, Alison S.

    2015-01-01

    Maternal interactions with young occupy most of the reproductive period for female mammals and are absolutely essential for offspring survival and development. The hormonal, sensory, reward-related, emotional, cognitive and neurobiological regulators of maternal caregiving behaviors have been well studied in numerous subprimate mammalian species, and some of the importance of this body of work is thought to be its relevance for understanding similar controls in humans. We here review many of the important biopsychological influences on maternal behaviors in the two best studied non-human animals, laboratory rats and sheep, and directly examine how the conceptual framework established by some of the major discoveries in these animal “models” do or do not hold for our understanding of human mothering. We also explore some of the limits for extrapolating from non-human animals to humans. We conclude that there are many similarities between non-human and human mothers in the biological and psychological factors influencing their early maternal behavior and that many of the differences are due to species-characteristic features related to the role of hormones, the relative importance of each sensory system, flexibility in what behaviors are exhibited, the presence or absence of language, and the complexity of cortical function influencing the behavior. PMID:26122301

  3. A neurogenetics approach to understanding individual differences in brain, behavior, and risk for psychopathology.

    Science.gov (United States)

    Bogdan, R; Hyde, L W; Hariri, A R

    2013-03-01

    Neurogenetics research has begun to advance our understanding of how genetic variation gives rise to individual differences in brain function, which, in turn, shapes behavior and risk for psychopathology. Despite these advancements, neurogenetics research is currently confronted by three major challenges: (1) conducting research on individual variables with small effects, (2) absence of detailed mechanisms, and (3) a need to translate findings toward greater clinical relevance. In this review, we showcase techniques and developments that address these challenges and highlight the benefits of a neurogenetics approach to understanding brain, behavior and psychopathology. To address the challenge of small effects, we explore approaches including incorporating the environment, modeling epistatic relationships and using multilocus profiles. To address the challenge of mechanism, we explore how non-human animal research, epigenetics research and genome-wide association studies can inform our mechanistic understanding of behaviorally relevant brain function. Finally, to address the challenge of clinical relevance, we examine how neurogenetics research can identify novel therapeutic targets and for whom treatments work best. By addressing these challenges, neurogenetics research is poised to exponentially increase our understanding of how genetic variation interacts with the environment to shape the brain, behavior and risk for psychopathology.

  4. Understanding Jordanian Psychiatric Nurses’ Smoking Behaviors: A Grounded Theory Study

    Directory of Open Access Journals (Sweden)

    Khaldoun M. Aldiabat

    2013-01-01

    Full Text Available Purpose. Smoking is prevalent in psychiatric facilities among staff and patients. However, there have been few studies of how contextual factors in specific cultures influence rates of smoking and the health promotion role of psychiatric nurses. This paper reports the findings of a classical grounded theory study conducted to understand how contextual factors in the workplace influences the smoking behaviors of Jordanian psychiatric nurses (JPNs. Method. Semi-structured individual interviews were conducted with a sample of eight male JPNs smokers at a psychiatric facility in Amman, Jordan. Findings. Constant comparative analysis identified becoming a heavy smoker as a psychosocial process characterized by four sub-categories: normalization of smoking; living in ambiguity; experiencing workplace conflict; and, facing up to workplace stressors. Conclusion. Specific contextual workplace factors require targeted smoking cessation interventions if JPNs are to receive the help they need to reduce health risks associated with heavy smoking.

  5. Understanding recurrent crime as system-immanent collective behavior.

    Directory of Open Access Journals (Sweden)

    Matjaž Perc

    Full Text Available Containing the spreading of crime is a major challenge for society. Yet, since thousands of years, no effective strategy has been found to overcome crime. To the contrary, empirical evidence shows that crime is recurrent, a fact that is not captured well by rational choice theories of crime. According to these, strong enough punishment should prevent crime from happening. To gain a better understanding of the relationship between crime and punishment, we consider that the latter requires prior discovery of illicit behavior and study a spatial version of the inspection game. Simulations reveal the spontaneous emergence of cyclic dominance between "criminals", "inspectors", and "ordinary people" as a consequence of spatial interactions. Such cycles dominate the evolutionary process, in particular when the temptation to commit crime or the cost of inspection are low or moderate. Yet, there are also critical parameter values beyond which cycles cease to exist and the population is dominated either by a stable mixture of criminals and inspectors or one of these two strategies alone. Both continuous and discontinuous phase transitions to different final states are possible, indicating that successful strategies to contain crime can be very much counter-intuitive and complex. Our results demonstrate that spatial interactions are crucial for the evolutionary outcome of the inspection game, and they also reveal why criminal behavior is likely to be recurrent rather than evolving towards an equilibrium with monotonous parameter dependencies.

  6. Collective unconscious: how gut microbes shape human behavior.

    Science.gov (United States)

    Dinan, Timothy G; Stilling, Roman M; Stanton, Catherine; Cryan, John F

    2015-04-01

    The human gut harbors a dynamic and complex microbial ecosystem, consisting of approximately 1 kg of bacteria in the average adult, approximately the weight of the human brain. The evolutionary formation of a complex gut microbiota in mammals has played an important role in enabling brain development and perhaps sophisticated social interaction. Genes within the human gut microbiota, termed the microbiome, significantly outnumber human genes in the body, and are capable of producing a myriad of neuroactive compounds. Gut microbes are part of the unconscious system regulating behavior. Recent investigations indicate that these microbes majorly impact on cognitive function and fundamental behavior patterns, such as social interaction and stress management. In the absence of microbes, underlying neurochemistry is profoundly altered. Studies of gut microbes may play an important role in advancing understanding of disorders of cognitive functioning and social interaction, such as autism. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

  7. Viscoelastic behavior of discrete human collagen fibrils

    DEFF Research Database (Denmark)

    Svensson, René; Hassenkam, Tue; Hansen, Philip

    2010-01-01

    Whole tendon and fibril bundles display viscoelastic behavior, but to the best of our knowledge this property has not been directly measured in single human tendon fibrils. In the present work an atomic force microscopy (AFM) approach was used for tensile testing of two human patellar tendon...... on the strain. The slope of the viscous response showed a strain rate dependence corresponding to a power function of powers 0.242 and 0.168 for the two patellar tendon fibrils, respectively. In conclusion, the present work provides direct evidence of viscoelastic behavior at the single fibril level, which has...

  8. Understanding the human dimensions of a sustainable energy transition

    NARCIS (Netherlands)

    Steg, Linda; Perlaviciute, Goda; van der Werff, Ellen

    2015-01-01

    Global climate change threatens the health, economic prospects, and basic food and water sources of people. A wide range of changes in household energy behavior is needed to realize a sustainable energy transition. We propose a general framework to understand and encourage sustainable energy

  9. Mining human behavior for health promotion.

    Science.gov (United States)

    Banos, Oresti; Bang, Jaehun; Hur, Taeho; Siddiqi, Muhammad Hameed; Thien, Huynh-The; Vui, Le-Ba; Khan, Wajahat Ali; Ali, Taqdir; Villalonga, Claudia; Lee, Sungyoung

    2015-01-01

    The monitoring of human lifestyles has gained much attention in the recent years. This work presents a novel approach to combine multiple context-awareness technologies for the automatic analysis of people's conduct in a comprehensive and holistic manner. Activity recognition, emotion recognition, location detection, and social analysis techniques are integrated with ontological mechanisms as part of a framework to identify human behavior. Key architectural components, methods and evidences are described in this paper to illustrate the interest of the proposed approach.

  10. A Learning-Style Theory for Understanding Autistic Behaviors

    Science.gov (United States)

    Qian, Ning; Lipkin, Richard M.

    2011-01-01

    Understanding autism's ever-expanding array of behaviors, from sensation to cognition, is a major challenge. We posit that autistic and typically developing brains implement different algorithms that are better suited to learn, represent, and process different tasks; consequently, they develop different interests and behaviors. Computationally, a continuum of algorithms exists, from lookup table (LUT) learning, which aims to store experiences precisely, to interpolation (INT) learning, which focuses on extracting underlying statistical structure (regularities) from experiences. We hypothesize that autistic and typical brains, respectively, are biased toward LUT and INT learning, in low- and high-dimensional feature spaces, possibly because of their narrow and broad tuning functions. The LUT style is good at learning relationships that are local, precise, rigid, and contain little regularity for generalization (e.g., the name–number association in a phonebook). However, it is poor at learning relationships that are context dependent, noisy, flexible, and do contain regularities for generalization (e.g., associations between gaze direction and intention, language and meaning, sensory input and interpretation, motor-control signal and movement, and social situation and proper response). The LUT style poorly compresses information, resulting in inefficiency, sensory overload (overwhelm), restricted interests, and resistance to change. It also leads to poor prediction and anticipation, frequent surprises and over-reaction (hyper-sensitivity), impaired attentional selection and switching, concreteness, strong local focus, weak adaptation, and superior and inferior performances on simple and complex tasks. The spectrum nature of autism can be explained by different degrees of LUT learning among different individuals, and in different systems of the same individual. Our theory suggests that therapy should focus on training autistic LUT algorithm to learn regularities

  11. A learning-style theory for understanding autistic behaviors

    Directory of Open Access Journals (Sweden)

    Ning eQian

    2011-08-01

    Full Text Available Understanding autism’s ever-expanding array of behaviors, from sensation to cognition, is a major challenge. We posit that autistic and typically-developing brains implement different algorithms that are better suited to learn, represent, and process different tasks; consequently, they develop different interests and behaviors. Computationally, a continuum of algorithms exists, from lookup-table (LUT learning, which aims to store experiences precisely, to interpolation (INT learning, which focuses on extracting underlying statistical structure (regularities from experiences. We hypothesize that autistic and typical brains, respectively, are biased toward LUT and INT learning, in low and high dimensional feature spaces, possibly because of their narrow and broad tuning functions. The LUT style is good at learning relationships that are local, precise, rigid, and contain little regularity for generalization (e.g., the name-number association in a phonebook. However, it is poor at learning relationships that are context dependent, noisy, flexible, and do contain regularities for generalization (e.g., associations between gaze direction and intention, language and meaning, sensory input and interpretation, motor-control signal and movement, and social situation and proper response. The LUT style poorly compresses information, resulting in inefficiency, sensory overload (overwhelm, restricted interests, and resistance to change. It also leads to poor prediction and anticipation, frequent surprises and over-reaction (hyper-sensitivity, impaired attentional selection and switching, concreteness, strong local focus, weak adaptation, and superior and inferior performances on simple and complex tasks. The spectrum nature of autism can be explained by different degrees of LUT learning among different individuals, and in different systems of the same individual. Our theory suggests that therapy should focus on training autistic LUT algorithm to learn

  12. A Contextual Behavior Science Framework for Understanding How Behavioral Flexibility Relates to Anxiety.

    Science.gov (United States)

    Palm Reed, Kathleen M; Cameron, Amy Y; Ameral, Victoria E

    2017-09-01

    There is a growing literature focusing on the emerging idea that behavioral flexibility, rather than particular emotion regulation strategies per se, provides greater promise in predicting and influencing anxiety-related psychopathology. Yet this line of research and theoretical analysis appear to be plagued by its own challenges. For example, middle-level constructs, such as behavioral flexibility, are difficult to define, difficult to measure, and difficult to interpret in relation to clinical interventions. A key point that some researchers have made is that previous studies examining flexible use of emotion regulation strategies (or, more broadly, coping) have failed due to a lack of focus on context. That is, examining strategies in isolation of the context in which they are used provides limited information on the suitability, rigid adherence, or effectiveness of a given strategy in that situation. Several of these researchers have proposed the development of new models to define and measure various types of behavioral flexibility. We would like to suggest that an explanation of the phenomenon already exists and that we can go back to our behavioral roots to understand this phenomenon rather than focusing on defining and capturing a new process. Indeed, thorough contextual behavioral analyses already yield a useful account of what has been observed. We will articulate a model explaining behavioral flexibility using a functional, contextual framework, with anxiety-related disorders as an example.

  13. Behavior genetic modeling of human fertility

    DEFF Research Database (Denmark)

    Rodgers, J L; Kohler, H P; Kyvik, K O

    2001-01-01

    Behavior genetic designs and analysis can be used to address issues of central importance to demography. We use this methodology to document genetic influence on human fertility. Our data come from Danish twin pairs born from 1953 to 1959, measured on age at first attempt to get pregnant (First...

  14. Quality assessment of human behavior models

    NARCIS (Netherlands)

    Doesburg, W.A. van

    2007-01-01

    Accurate and efficient models of human behavior offer great potential in military and crisis management applications. However, little attention has been given to the man ner in which it can be determined if this potential is actually realized. In this study a quality assessment approach that

  15. Integrating Humanism and Behaviorism: Toward Performance

    Science.gov (United States)

    Smith, Darrell

    1974-01-01

    The current emphasis on performance criteria in training programs and in professional services poses a threat to the humanistically oriented helper. This article suggests a behavioral humanism as the desired solution to the dilemma and proposes some guidelines for formulating and implementing such a synthetic system. (Author)

  16. Understanding bulk behavior of particulate materials from particle scale simulations

    Science.gov (United States)

    Deng, Xiaoliang

    Particulate materials play an increasingly significant role in various industries, such as pharmaceutical manufacturing, food, mining, and civil engineering. The objective of this research is to better understand bulk behaviors of particulate materials from particle scale simulations. Packing properties of assembly of particles are investigated first, focusing on the effects of particle size, surface energy, and aspect ratio on the coordination number, porosity, and packing structures. The simulation results show that particle sizes, surface energy, and aspect ratio all influence the porosity of packing to various degrees. The heterogeneous force networks within particle assembly under external compressive loading are investigated as well. The results show that coarse-coarse contacts dominate the strong network and coarse-fine contacts dominate the total network. Next, DEM models are developed to simulate the particle dynamics inside a conical screen mill (comil) and magnetically assisted impaction mixer (MAIM), both are important particle processing devices. For comil, the mean residence time (MRT), spatial distribution of particles, along with the collision dynamics between particles as well as particle and vessel geometries are examined as a function of the various operating parameters such as impeller speed, screen hole size, open area, and feed rate. The simulation results can help better understand dry coating experimental results using comil. For MAIM system, the magnetic force is incorporated into the contact model, allowing to describe the interactions between magnets. The simulation results reveal the connections between homogeneity of mixture and particle scale variables such as size of magnets and surface energy of non-magnets. In particular, at the fixed mass ratio of magnets to non-magnets and surface energy the smaller magnets lead to better homogeneity of mixing, which is in good agreement with previously published experimental results. Last but not

  17. Understanding Social Learning Behaviors via a Virtual Field Trip

    Directory of Open Access Journals (Sweden)

    Xin Bai

    2014-06-01

    Full Text Available This is a multidisciplinary study investigating how a virtual rather than face-to-face field trip can be conducted in a real-world setting and how students respond to such a social learning opportunity. Our participants followed a story of a stroke patient at her virtual home and in a virtual hospital via a teaching vignette. They were then given a new case and got on a virtual trip via a multiuser virtual environment. They played the roles of patients, relatives, doctors, or nurses, experiencing the emotional, physical, or social impacts those stakeholders may go through. Our study finds the overall participation of the Virtual Group is 50% more than the Text Group. Although the Virtual Group generates much more nodes in total, they focused much less on knowledge sharing and comparing than the Text Group (46 vs. 67, but more on other higher-level aspects of social interactions, such as knowledge discovery (57 vs. 42, co-construction (66 vs. 39, testing and modification (58 vs. 24 and application of newly constructed meaning (60 vs. 16. Analysis of students’ virtual field activities and in-depth discussions of important issues implied are included to help understand social learning behaviors during a virtual field trip. Sustainability of such systems is discussed.

  18. Understanding human metabolic physiology: a genome-to-systems approach.

    Science.gov (United States)

    Mo, Monica L; Palsson, Bernhard Ø

    2009-01-01

    The intricate nature of human physiology renders its study a difficult undertaking, and a systems biology approach is necessary to understand the complex interactions involved. Network reconstruction is a key step in systems biology and represents a common denominator because all systems biology research on a target organism relies on such a representation. With the recent development of genome-scale human metabolic networks, metabolic systems analysis is now possible and has initiated a shift towards human systems biology. Here, we review the important aspects of reconstructing a bottom-up human metabolic network, the network's role in modeling human physiology and the necessity for a community-based consensus reconstruction of human metabolism to be established.

  19. Applications and Limitations of Mouse Models for Understanding Human Atherosclerosis

    Science.gov (United States)

    von Scheidt, Moritz; Zhao, Yuqi; Kurt, Zeyneb; Pan, Calvin; Zeng, Lingyao; Yang, Xia; Schunkert, Heribert; Lusis, Aldons J.

    2017-01-01

    Most of the biological understanding of mechanisms underlying coronary artery disease (CAD) derives from studies of mouse models. The identification of multiple CAD loci and strong candidate genes in large human genome-wide association studies (GWAS) presented an opportunity to examine the relevance of mouse models for the human disease. We comprehensively reviewed the mouse literature, including 827 literature-derived genes, and compared it to human data. First, we observed striking concordance of risk factors for atherosclerosis in mice and humans. Second, there was highly significant overlap of mouse genes with human genes identified by GWAS. In particular, of the 46 genes with strong association signals in CAD-GWAS that were studied in mouse models all but one exhibited consistent effects on atherosclerosis-related phenotypes. Third, we compared 178 CAD-associated pathways derived from human GWAS with 263 from mouse studies and observed that over 50% were consistent between both species. PMID:27916529

  20. Viscoelastic behavior of discrete human collagen fibrils

    DEFF Research Database (Denmark)

    Svensson, Rene; Hassenkam, Tue; P, Hansen

    2010-01-01

    Whole tendon and fibril bundles display viscoelastic behavior, but to the best of our knowledge this property has not been directly measured in single human tendon fibrils. In the present work an atomic force microscopy (AFM) approach was used for tensile testing of two human patellar tendon...... fibrils. Fibrils were obtained from intact human fascicles, without any pre-treatment besides frozen storage. In the dry state a single isolated fibril was anchored to a substrate using epoxy glue, and the end of the fibril was glued on to an AFM cantilever for tensile testing. In phosphate buffered...... on the strain. The slope of the viscous response showed a strain rate dependence corresponding to a power function of powers 0.242 and 0.168 for the two patellar tendon fibrils, respectively. In conclusion, the present work provides direct evidence of viscoelastic behavior at the single fibril level, which has...

  1. Research opportunities in human behavior and performance

    Science.gov (United States)

    Christensen, J. M. (Editor); Talbot, J. M. (Editor)

    1985-01-01

    Extant information on the subject of psychological aspects of manned space flight are reviewed; NASA's psychology research program is examined; significant gaps in knowledge are identified; and suggestions are offered for future research program planning. Issues of human behavior and performance related to the United States space station, to the space shuttle program, and to both near and long term problems of a generic nature in applicable disciplines of psychology are considered. Topics covered include: (1) human performance requirements for a 90 day mission; (2) human perceptual, cognitive, and motor capabilities and limitations in space; (3) crew composition, individual competencies, crew competencies, selection criteria, and special training; (4) environmental factors influencing behavior; (5) psychosocial aspects of multiperson space crews in long term missions; (6) career determinants in NASA; (7) investigational methodology and equipment; and (8) psychological support.

  2. Human behavioral corollary on industrial workplace

    International Nuclear Information System (INIS)

    Fazil, I.; Kirmani, Z.U.; Hanif, M.; Saeed, A.; Khurshid, A.

    2009-01-01

    This paper highlights a number of initiatives taken for the introduction of behavior-based safety concepts and customized process control solutions to encourage and instill safe behavior in employees at Attock Refinery Limited (ARL), Morgah Rawalpindi, Pakistan. A Safety culture is entirely dependent on the attitude of employees towards safety. After all, those who actually perform the work are responsible for their safety as well as that of those around them, and also for any accident that occurs whilst they work. In 2005, ARL established a Health Safety Environment (HSE) Department reporting directly to the CEO and it now stands transformed into the HSEQ Department with Quality having been added to its portfolio, with the logic that it is the Quality of our systems and processes that also determines the possibility or otherwise of safe/unsafe behavior. The need was felt to measure, analyze and then control unsafe behavior at the workplace. In spite of providing safety systems and necessary hardware, incident data shows that the majority of misfortunes are triggered by employees' unsafe attitude, proclivity to take shortcuts and intuitive-based decisions, bypassing Standard Operating Procedures (SOPs). Human behavior is a very complex subject as it is linked not only to the workplace environment but has origins from home and upbringing as well. An attempt was, nevertheless, necessary to develop a tool of customized behavioral assessment tool in order to gauge the employees' behavior. On a scale of 1-100, marks were allocated to areas including safety attitude within the department(s), working conditions, supervisor's behavior towards worker safety, job loyalty, personal attitude towards job safety, seriousness towards safety, training and the employees' view about the HSEQ department. This study, based on one-on-one interviews with employees, yielded what we will term employees' potential towards unsafe behaviors, which would facilitate subsequent planning and

  3. AIDS, behavior, and culture: understanding evidence-based prevention

    National Research Council Canada - National Science Library

    Green, Edward C; Ruark, Allison Herling

    2011-01-01

    .... Arguing for a behavior-based approach, the authors make the case that the most effective programs are those that encourage fundamental behavioral changes such as faithfulness, avoidance of concurrent...

  4. Oxytocin and social cognition in rhesus macaques: implications for understanding and treating human psychopathology.

    Science.gov (United States)

    Chang, Steve W C; Platt, Michael L

    2014-09-11

    Converging evidence from humans and non-human animals indicates that the neurohypophysial hormone oxytocin (OT) evolved to serve a specialized function in social behavior in mammals. Although OT-based therapies are currently being evaluated as remedies for social deficits in neuropsychiatric disorders, precisely how OT regulates complex social processes remains largely unknown. Here we describe how a non-human primate model can be used to understand the mechanisms by which OT regulates social cognition and thereby inform its clinical application in humans. We focus primarily on recent advances in our understanding of OT-mediated social cognition in rhesus macaques (Macaca mulatta), supplemented by discussion of recent work in humans, other primates, and rodents. Together, these studies endorse the hypothesis that OT promotes social exploration both by amplifying social motivation and by attenuating social vigilance. This article is part of a Special Issue entitled Oxytocin and Social Behav. © 2013 Published by Elsevier B.V.

  5. Replicable effects of primes on human behavior.

    Science.gov (United States)

    Payne, B Keith; Brown-Iannuzzi, Jazmin L; Loersch, Chris

    2016-10-01

    [Correction Notice: An Erratum for this article was reported online in Journal of Experimental Psychology: General on Oct 31 2016 (see record 2016-52334-001). ] The effect of primes (i.e., incidental cues) on human behavior has become controversial. Early studies reported counterintuitive findings, suggesting that primes can shape a wide range of human behaviors. Recently, several studies failed to replicate some earlier priming results, raising doubts about the reliability of those effects. We present a within-subjects procedure for priming behavior, in which participants decide whether to bet or pass on each trial of a gambling game. We report 6 replications (N = 988) showing that primes consistently affected gambling decisions when the decision was uncertain. Decisions were influenced by primes presented visibly, with a warning to ignore the primes (Experiments 1 through 3) and with subliminally presented masked primes (Experiment 4). Using a process dissociation procedure, we found evidence that primes influenced responses through both automatic and controlled processes (Experiments 5 and 6). Results provide evidence that primes can reliably affect behavior, under at least some conditions, without intention. The findings suggest that the psychological question of whether behavior priming effects are real should be separated from methodological issues affecting how easily particular experimental designs will replicate. PsycINFO Database Record (c) 2016 APA, all rights reserved

  6. Quality Improvement in Hospitals: Identifying and Understanding Behaviors

    Directory of Open Access Journals (Sweden)

    Lukasz M. Mazur

    2012-01-01

    Full Text Available Improving operational performance in hospitals is complicated, particularly if process improvement requires complex behavioral changes. Using single-loop and double-loop learning theory as a foundation, the purpose of this research is to empirically uncover key improvement behaviors and the factors that may be associated with such behaviors in hospitals. A two-phased approach was taken to collect data regarding improvement behaviors and associated factors, and data analysis was conducted using methods proposed by grounded theorists. The contributions of this research are twofold. First, five key behaviors related to process improvement are identified, namely Quick Fixing, Initiating, Conforming, Expediting, and Enhancing. Second, based on these observed behaviors, a set of force field diagrams is developed to structure and organize possible factors that are important to consider when attempting to change improvement behaviors. This begins to fill the gap in the knowledge about what factors drive effective improvement efforts in hospital settings.

  7. Human behavior cognition using smartphone sensors.

    Science.gov (United States)

    Pei, Ling; Guinness, Robert; Chen, Ruizhi; Liu, Jingbin; Kuusniemi, Heidi; Chen, Yuwei; Chen, Liang; Kaistinen, Jyrki

    2013-01-24

    This research focuses on sensing context, modeling human behavior and developing a new architecture for a cognitive phone platform. We combine the latest positioning technologies and phone sensors to capture human movements in natural environments and use the movements to study human behavior. Contexts in this research are abstracted as a Context Pyramid which includes six levels: Raw Sensor Data, Physical Parameter, Features/Patterns, Simple Contextual Descriptors, Activity-Level Descriptors, and Rich Context. To achieve implementation of the Context Pyramid on a cognitive phone, three key technologies are utilized: ubiquitous positioning, motion recognition, and human behavior modeling. Preliminary tests indicate that we have successfully achieved the Activity-Level Descriptors level with our LoMoCo (Location-Motion-Context) model. Location accuracy of the proposed solution is up to 1.9 meters in corridor environments and 3.5 meters in open spaces. Test results also indicate that the motion states are recognized with an accuracy rate up to 92.9% using a Least Square-Support Vector Machine (LS-SVM) classifier.

  8. A New World Information Order for Better Human Understanding.

    Science.gov (United States)

    Masmoudi, Mustapha

    Many studies, particularly the report of the International Commission for the Study of Communication Problems (ICSCP), have tried to define a new world information order for better human understanding. What appears to be needed is the establishment of a new, open-ended, conceptual framework leading to a freer, more efficient, more equitable,…

  9. Understanding "Human" Waves: Exploiting the Physics in a Viral Video

    Science.gov (United States)

    Ferrer-Roca, Chantal

    2018-01-01

    Waves are a relevant part of physics that students find difficult to grasp, even in those cases in which wave propagation kinematics can be visualized. This may hinder a proper understanding of sound, light or quantum physics phenomena that are explained using a wave model. So-called "human" waves, choreographed by people, have proved to…

  10. Understanding Social Freedom and Humanism in Odera Oruka's ...

    African Journals Online (AJOL)

    Understanding Social Freedom and Humanism in Odera Oruka's Philosophy. O Nyarwath. Abstract. H. Odera Oruka's philosophy, as can be discerned from his various works, revolves around the issue of social justice. In this paper I seek to show how Oruka's idea of social justice is inextricably bound up with his ...

  11. Assessing Freshman Engineering Students' Understanding of Ethical Behavior.

    Science.gov (United States)

    Henslee, Amber M; Murray, Susan L; Olbricht, Gayla R; Ludlow, Douglas K; Hays, Malcolm E; Nelson, Hannah M

    2017-02-01

    Academic dishonesty, including cheating and plagiarism, is on the rise in colleges, particularly among engineering students. While students decide to engage in these behaviors for many different reasons, academic integrity training can help improve their understanding of ethical decision making. The two studies outlined in this paper assess the effectiveness of an online module in increasing academic integrity among first semester engineering students. Study 1 tested the effectiveness of an academic honesty tutorial by using a between groups design with a Time 1- and Time 2-test. An academic honesty quiz assessed participants' knowledge at both time points. Study 2, which incorporated an improved version of the module and quiz, utilized a between groups design with three assessment time points. The additional Time 3-test allowed researchers to test for retention of information. Results were analyzed using ANCOVA and t tests. In Study 1, the experimental group exhibited significant improvement on the plagiarism items, but not the total score. However, at Time 2 there was no significant difference between groups after controlling for Time 1 scores. In Study 2, between- and within-group analyses suggest there was a significant improvement in total scores, but not plagiarism scores, after exposure to the tutorial. Overall, the academic integrity module impacted participants as evidenced by changes in total score and on specific plagiarism items. Although future implementation of the tutorial and quiz would benefit from modifications to reduce ceiling effects and improve assessment of knowledge, the results suggest such tutorial may be one valuable element in a systems approach to improving the academic integrity of engineering students.

  12. "I Got Your Back": Friends' Understandings regarding College Student Spring Break Behavior

    Science.gov (United States)

    Patrick, Megan E.; Morgan, Nicole; Maggs, Jennifer L.; Lefkowitz, Eva S.

    2011-01-01

    Behaviors that pose threats to safety and health, including binge drinking and unprotected sex, increase during a week-long break from university. Understandings with peers regarding these behaviors may be important for predicting behavior and related harms. College students (N = 651; 48% men) reported having understandings with their friends…

  13. Guest Editors’ Introduction On Understanding Ethical Behavior and Decision Making

    NARCIS (Netherlands)

    D. de Cremer (David); D.M. Mayer (David); M. Schminke (Marshall)

    2010-01-01

    textabstractBehavioral ethics is an emerging field that takes an empirical, social scientific approach to the study of business ethics. In this special issue, we include six articles that fall within the domain of behavioral ethics and that focus on three themes—moral awareness, ethical decision

  14. Understanding User Behavioral Patterns in Open Knowledge Communities

    Science.gov (United States)

    Yang, Xianmin; Song, Shuqiang; Zhao, Xinshuo; Yu, Shengquan

    2018-01-01

    Open knowledge communities (OKCs) have become popular in the era of knowledge economy. This study aimed to explore how users collaboratively create and share knowledge in OKCs. In particular, this research identified the behavior distribution and behavioral patterns of users by conducting frequency distribution and lag sequential analyses. Some…

  15. Robotic Billiards: Understanding Humans in Order to Counter Them.

    Science.gov (United States)

    Nierhoff, Thomas; Leibrandt, Konrad; Lorenz, Tamara; Hirche, Sandra

    2016-08-01

    Ongoing technological advances in the areas of computation, sensing, and mechatronics enable robotic-based systems to interact with humans in the real world. To succeed against a human in a competitive scenario, a robot must anticipate the human behavior and include it in its own planning framework. Then it can predict the next human move and counter it accordingly, thus not only achieving overall better performance but also systematically exploiting the opponent's weak spots. Pool is used as a representative scenario to derive a model-based planning and control framework where not only the physics of the environment but also a model of the opponent is considered. By representing the game of pool as a Markov decision process and incorporating a model of the human decision-making based on studies, an optimized policy is derived. This enables the robot to include the opponent's typical game style into its tactical considerations when planning a stroke. The results are validated in simulations and real-life experiments with an anthropomorphic robot playing pool against a human.

  16. Young children's understanding of stages of human development

    OpenAIRE

    濱田, 祥子; 杉村, 伸一郎

    2010-01-01

    The self-concept is composed through the interaction with others (Mead,1934). As selfconceptual study in early childhood, most targets the same age others. However, it is thought that the existence of the others at other stages of development brings the influence to the self-concept if the self-concept is composed by the interaction with others. The present study aimed to search for children's understanding of stages of human development and children's self-concept by the comparisons between ...

  17. Understanding action control of daily walking behavior among dog owners: a community survey.

    Science.gov (United States)

    Rhodes, Ryan E; Lim, Clarise

    2016-11-16

    Walking among dog owners may be a means to achieve health benefits, yet almost half of owners (approximately 30% of households) are not regularly walking their dogs. Current research on the correlates of dog walking has generally considered intention as the primary determinant of behavior, yet the intention-behavior relationship is modest. The purpose of this paper was to apply a framework designed to evaluate the intention-behavior gap, known as multi-process action control (M-PAC), to understand daily walking among dog owners. A community sample of adult dog owners (N = 227) in Victoria, Canada completed M-PAC measures of motivational (dog and human outcome expectations, affective judgments, perceived capability and opportunity), regulatory (planning), and reflexive (automaticity, identity) processes as well as intention to walk and behavior. Three intention-behavior profiles emerged: a) non-intenders who were not active (26%; n = 59), b) unsuccessful intenders who failed to enact their positive intentions (33%; n = 75), and c) successful intenders who were active (40%; n = 91). Congruent with M-PAC, a discriminant function analysis showed that affective judgements (r = 0.33), automaticity (r = 0.38), and planning (r = 0.33) distinguished between all three intention-behavior profiles, while identity (r = 0.22) and dog breed size (r = 0.28) differentiated between successful and unsuccessful intenders. The majority of dog owners have positive intentions to walk, yet almost half fail to meet these intentions. Interventions focused on affective judgments (e.g., more enjoyable places to walk), behavioral regulation (e.g., setting a concrete plan), habit (e.g., making routines and cues) and identity formation (e.g., affirmations of commitment) may help overcome difficulties with translating these intentions into action, thus increasing overall levels of walking.

  18. Understanding action control of daily walking behavior among dog owners: a community survey

    Directory of Open Access Journals (Sweden)

    Ryan E. Rhodes

    2016-11-01

    Full Text Available Abstract Background Walking among dog owners may be a means to achieve health benefits, yet almost half of owners (approximately 30% of households are not regularly walking their dogs. Current research on the correlates of dog walking has generally considered intention as the primary determinant of behavior, yet the intention-behavior relationship is modest. The purpose of this paper was to apply a framework designed to evaluate the intention-behavior gap, known as multi-process action control (M-PAC, to understand daily walking among dog owners. Method A community sample of adult dog owners (N = 227 in Victoria, Canada completed M-PAC measures of motivational (dog and human outcome expectations, affective judgments, perceived capability and opportunity, regulatory (planning, and reflexive (automaticity, identity processes as well as intention to walk and behavior. Results Three intention-behavior profiles emerged: a non-intenders who were not active (26%; n = 59, b unsuccessful intenders who failed to enact their positive intentions (33%; n = 75, and c successful intenders who were active (40%; n = 91. Congruent with M-PAC, a discriminant function analysis showed that affective judgements (r = 0.33, automaticity (r = 0.38, and planning (r = 0.33 distinguished between all three intention-behavior profiles, while identity (r = 0.22 and dog breed size (r = 0.28 differentiated between successful and unsuccessful intenders. Conclusions The majority of dog owners have positive intentions to walk, yet almost half fail to meet these intentions. Interventions focused on affective judgments (e.g., more enjoyable places to walk, behavioral regulation (e.g., setting a concrete plan, habit (e.g., making routines and cues and identity formation (e.g., affirmations of commitment may help overcome difficulties with translating these intentions into action, thus increasing overall levels of walking.

  19. Understanding the Link between Urban Activity Destinations and Human Travel Pattern

    OpenAIRE

    Jiang, Shan; Gonzalez, Marta C.; Ferreira, Joseph, Jr.

    2011-01-01

    In the urban transportation field, planners and engineers have explored the relationship between urban destinations and travel behavior for more than half a century. However, we still have only a preliminary understanding about how the spatial arrangement of different types of urban activity destinations influence human travel, and how urban development policies influence travel patterns. Recent developments in urban sensing and cell phone technologies have enabled spatially-detailed and mass...

  20. Visualization and Rule Validation in Human-Behavior Representation

    Science.gov (United States)

    Moya, Lisa Jean; McKenzie, Frederic D.; Nguyen, Quynh-Anh H.

    2008-01-01

    Human behavior representation (HBR) models simulate human behaviors and responses. The Joint Crowd Federate [TM] cognitive model developed by the Virginia Modeling, Analysis, and Simulation Center (VMASC) and licensed by WernerAnderson, Inc., models the cognitive behavior of crowds to provide credible crowd behavior in support of military…

  1. Embodied artificial agents for understanding human social cognition.

    Science.gov (United States)

    Wykowska, Agnieszka; Chaminade, Thierry; Cheng, Gordon

    2016-05-05

    In this paper, we propose that experimental protocols involving artificial agents, in particular the embodied humanoid robots, provide insightful information regarding social cognitive mechanisms in the human brain. Using artificial agents allows for manipulation and control of various parameters of behaviour, appearance and expressiveness in one of the interaction partners (the artificial agent), and for examining effect of these parameters on the other interaction partner (the human). At the same time, using artificial agents means introducing the presence of artificial, yet human-like, systems into the human social sphere. This allows for testing in a controlled, but ecologically valid, manner human fundamental mechanisms of social cognition both at the behavioural and at the neural level. This paper will review existing literature that reports studies in which artificial embodied agents have been used to study social cognition and will address the question of whether various mechanisms of social cognition (ranging from lower- to higher-order cognitive processes) are evoked by artificial agents to the same extent as by natural agents, humans in particular. Increasing the understanding of how behavioural and neural mechanisms of social cognition respond to artificial anthropomorphic agents provides empirical answers to the conundrum 'What is a social agent?' © 2016 The Authors.

  2. Biological and social understanding of human nature: biopolitical dimension

    Directory of Open Access Journals (Sweden)

    S. K. Kostiuchkov

    2014-07-01

    Full Text Available This paper examines the position of the biopolitical nature of man as a biosocial being given supplies of both the two spheres of life – natural, biological and social. The necessity of understanding of human nature, which by definition are bio-social importance of the approach to the definition of man as an integral, binary-konnotovanoyi of the «social individual – a species» which is characterized by symmetrical opposition – upposition social and biological. It was found that the main task of modern political science, and in particular bio-political studies presented appeals to rethink the political picture of the world in order to predict the development of a new order or a new chaos. Understanding the formation of a new global civilization worldview is today one of the most important problems, which is connected with the main problem of the modern world – the task of preserving life on the planet. It is concluded that the contradictions of human nature – between the biological and the social, physical and spiritual, universal and the particular, natural and artificial, rational and emotional – in today’s conditions are extremely sharp. The said situation requires more in-depth scientific analysis of human nature, the study of the structural level as human biosocial system.

  3. Current understanding of mdig/MINA in human cancers.

    Science.gov (United States)

    Thakur, Chitra; Chen, Fei

    2015-07-01

    Mineral dust-induced gene, mdig has recently been identified and is known to be overexpressed in a majority of human cancers and holds predictive power in the poor prognosis of the disease. Mdig is an environmentally expressed gene that is involved in cell proliferation, neoplastic transformation and immune regulation. With the advancement in deciphering the prognostic role of mdig in human cancers, our understanding on how mdig renders a normal cell to undergo malignant transformation is still very limited. This article reviews the current knowledge of the mdig gene in context to human neoplasias and its relation to the clinico-pathologic factors predicting the outcome of the disease in patients. It also emphasizes on the promising role of mdig that can serve as a potential candidate for biomarker discovery and as a therapeutic target in inflammation and cancers. Considering the recent advances in understanding the underlying mechanisms of tumor formation, more preclinical and clinical research is required to validate the potential of using mdig as a novel biological target of therapeutic and diagnostic value. Expression level of mdig influences the prognosis of several human cancers especially cancers of the breast and lung. Evaluation of mdig in cancers can offer novel biomarker with potential therapeutic interventions for the early assessment of cancer development in patients.

  4. LD, interpersonal understanding, and social behavior in the classroom.

    Science.gov (United States)

    Kravetz, S; Faust, M; Lipshitz, S; Shalhav, S

    1999-01-01

    This study used Baron and Kenny's (1986) criteria for mediation to investigate the extent to which interpersonal understanding mediates the relation between learning disabilities (LD) and social adaptation in the classroom. Twenty-two children with and 22 children without a diagnosis of LD completed a semistructured developmental clinical interview measure of interpersonal understanding. They were also rated by their fourth- and fifth-grade teachers on a measure of social adaptation in the classroom. Interpersonal understanding and social adaptation in the classroom were found to be positively correlated. Children with LD exhibited less interpersonal understanding and social adaptation. Although this group difference on social adaptation was greatly reduced when interpersonal understanding was statistically controlled, it remained statistically significant. These results suggest that reduced social adaptation in the classroom and lower interpersonal understanding are both associated with a diagnosis of LD. However, they do not conclusively support the claim that interpersonal understanding mediates the relation between LD and social adaptation. Thus, whether the social difficulties of people with LD stem from the same complex phenomena that produce these people's learning problems remains an open question.

  5. Modeling the exergy behavior of human body

    International Nuclear Information System (INIS)

    Keutenedjian Mady, Carlos Eduardo; Silva Ferreira, Maurício; Itizo Yanagihara, Jurandir; Hilário Nascimento Saldiva, Paulo; Oliveira Junior, Silvio de

    2012-01-01

    Exergy analysis is applied to assess the energy conversion processes that take place in the human body, aiming at developing indicators of health and performance based on the concepts of exergy destroyed rate and exergy efficiency. The thermal behavior of the human body is simulated by a model composed of 15 cylinders with elliptical cross section representing: head, neck, trunk, arms, forearms, hands, thighs, legs, and feet. For each, a combination of tissues is considered. The energy equation is solved for each cylinder, being possible to obtain transitory response from the body due to a variation in environmental conditions. With this model, it is possible to obtain heat and mass flow rates to the environment due to radiation, convection, evaporation and respiration. The exergy balances provide the exergy variation due to heat and mass exchange over the body, and the exergy variation over time for each compartments tissue and blood, the sum of which leads to the total variation of the body. Results indicate that exergy destroyed and exergy efficiency decrease over lifespan and the human body is more efficient and destroys less exergy in lower relative humidities and higher temperatures. -- Highlights: ► In this article it is indicated an overview of the human thermal model. ► It is performed the energy and exergy analysis of the human body. ► Exergy destruction and exergy efficiency decreases with lifespan. ► Exergy destruction and exergy efficiency are a function of environmental conditions.

  6. Understanding driver behavior at grade crossings through signal detection theory.

    Science.gov (United States)

    2013-01-01

    This report uses signal detection theory (SDT) to model motorists decisionmaking strategies at grade crossings in order to understand the factors that influence such decisions and to establish a framework for evaluating the impact of proposed coun...

  7. Understanding driver behavior at grade crossings through signal detection theory.

    Science.gov (United States)

    2013-01-31

    This report uses signal detection theory (SDT) to model motorists decisionmaking strategies at grade crossings in order to understand the factors that influence such decisions and to establish a framework for evaluating the impact of proposed coun...

  8. Applying artificial vision models to human scene understanding.

    Science.gov (United States)

    Aminoff, Elissa M; Toneva, Mariya; Shrivastava, Abhinav; Chen, Xinlei; Misra, Ishan; Gupta, Abhinav; Tarr, Michael J

    2015-01-01

    How do we understand the complex patterns of neural responses that underlie scene understanding? Studies of the network of brain regions held to be scene-selective-the parahippocampal/lingual region (PPA), the retrosplenial complex (RSC), and the occipital place area (TOS)-have typically focused on single visual dimensions (e.g., size), rather than the high-dimensional feature space in which scenes are likely to be neurally represented. Here we leverage well-specified artificial vision systems to explicate a more complex understanding of how scenes are encoded in this functional network. We correlated similarity matrices within three different scene-spaces arising from: (1) BOLD activity in scene-selective brain regions; (2) behavioral measured judgments of visually-perceived scene similarity; and (3) several different computer vision models. These correlations revealed: (1) models that relied on mid- and high-level scene attributes showed the highest correlations with the patterns of neural activity within the scene-selective network; (2) NEIL and SUN-the models that best accounted for the patterns obtained from PPA and TOS-were different from the GIST model that best accounted for the pattern obtained from RSC; (3) The best performing models outperformed behaviorally-measured judgments of scene similarity in accounting for neural data. One computer vision method-NEIL ("Never-Ending-Image-Learner"), which incorporates visual features learned as statistical regularities across web-scale numbers of scenes-showed significant correlations with neural activity in all three scene-selective regions and was one of the two models best able to account for variance in the PPA and TOS. We suggest that these results are a promising first step in explicating more fine-grained models of neural scene understanding, including developing a clearer picture of the division of labor among the components of the functional scene-selective brain network.

  9. Toward improving our application and understanding of crown fire behavior

    Science.gov (United States)

    Martin E. Alexander; Miguel G. Cruz; Nicole M. Vaillant

    2014-01-01

    The suggestion has been made that most wildland fire operations personnel base their expectations of how a fire will behave largely on experience and, to a lesser extent, on guides to predicting fire behavior (Burrows 1984). Experienced judgment is certainly needed in any assessment of wildland fire potential but it does have its limitations. The same can be said for...

  10. Understanding Transnational African Migrants' Perspectives of Dietary Behavior.

    Science.gov (United States)

    Ibe-Lamberts, Kelechi; Tshiswaka, Daudet Ilunga; Osideko, Anuolwaupo; Schwingel, Andiara

    2016-10-28

    Dietary behaviors serve as determinants for chronic diseases such as hypertension across various ethnicities worldwide and within the USA. We investigated dietary perspectives specifically for US transnational African migrants, a migrant cohort subset of individuals who maintain cross-border ties with their indigenous communities of origin. Using PEN-3 model, focus group interviews with 14 transnational African migrants (seven males and seven females) were conducted in Chicago to explore the perceptions of dietary behavior in regard to chronic disease risk factors among our target population. The findings underscore that transnational African migrants maintain strong ties with their African community of origin, impacting dietary behaviors and attitudes. Further, transnational African migrants maintain traditional dishes through their connections. Despite the ability to import African traditional foods through personal connections, African migrants face a challenge in maintaining culture yet conforming to norms of acculturation. Results from this study serve to advocate for further exploration of the interaction between African migrant dietary behaviors and risk factors to chronic diseases.

  11. Behavioral accident avoidance science : understanding response in collision incipient conditions

    NARCIS (Netherlands)

    Hancock, P.A.; Ridder, S.N. de

    2003-01-01

    Road traffic accidents are the single greatest cause of fatality in the workplace and the primary cause of all accidental death in the U.S. to the age of seventy-eight. However, behavioral analysis of response in the final seconds and milliseconds before collision has been a most difficult

  12. Children's Behavior toward and Understanding of Robotic and Living Dogs

    Science.gov (United States)

    Melson, Gail F.; Kahn, Peter H., Jr.; Beck, Alan; Friedman, Batya; Roberts, Trace; Garrett, Erik; Gill, Brian T.

    2009-01-01

    This study investigated children's reasoning about and behavioral interactions with a computationally sophisticated robotic dog (Sony's AIBO) compared to a live dog (an Australian Shepherd). Seventy-two children from three age groups (7-9 years, 10-12 years, and 13-15 years) participated in this study. Results showed that more children…

  13. Health Behavior Change Challenge: Understanding Stages of Change

    Science.gov (United States)

    Sullivan, Claire F.

    2011-01-01

    This semester-long activity requires students to reflect on their own strengths and weaknesses in attempting to take on a personally meaningful health behavior change challenge. This assignment affords them the opportunity to take a deeper look at theory and health concepts learned throughout the semester and to see how it has informed their own…

  14. Understanding patients' behavioral intentions: evidence from Iran's private hospitals industry.

    Science.gov (United States)

    Zarei, Ehsan; Arab, Mohammad; Tabatabaei, Seyed Mahmoud Ghazi; Rashidian, Arash; Forushani, Abbas Rahimi; Khabiri, Roghayeh

    2014-01-01

    In the ever-increasing competitive market of private hospital industry, creating a strong relationship with the customers that shapes patients' loyalty has been considered a key factor in obtaining market share. The purpose of this paper is to test a model of customer loyalty among patients of private hospitals in Iran. This cross-sectional study was carried out in Tehran, the capital of the Islamic Republic of Iran in 2010. The study samples composed of 969 patients who were consecutively selected from eight private hospitals. The survey instrument was designed based on a review of the related literature and included 36 items. Data analysis was performed using structural equation modeling. For the service quality construct, three dimensions extracted: Process, interaction, and environment. Both process and interaction quality had significant effects on perceived value. Perceived value along with the process and interaction quality were the most important antecedents of patient overall satisfaction. The direct effect of the process and interaction quality on behavioral intentions was insignificant. Perceived value and patient overall satisfaction were the direct antecedents of patient behavioral intentions and the mediators between service quality and behavioral intentions. Environment quality of service delivery had no significant effect on perceived value, overall satisfaction, and behavioral intentions. Contrary to previous similar studies, the role of service quality was investigated not in a general sense, but in the form of three types of qualities including quality of environment, quality of process, and quality of interaction.

  15. Understanding Homophobic Behavior and Its Implications for Policy and Practice

    Science.gov (United States)

    Poteat, V. Paul; Russell, Stephen T.

    2013-01-01

    In this article, we consider recent advances in scholarship on homophobic bullying, and implications for policy and practice. We first consider toward whom homophobic behavior is directed, drawing attention to the nuances among LGBT youth, and the realities of homophobic bullying for heterosexual or straight youth. We review the correlates or…

  16. THE PREREQUISITES OF PROSOCIAL BEHAVIOR IN HUMAN ONTOGENY

    Directory of Open Access Journals (Sweden)

    Irina M. Sozinova

    2017-06-01

    Full Text Available Understanding the development of moral attitudes toward unrelated individuals from different social groups may provide insights into the role of biological and cultural factors in prosocial behavior. Children (3–11 years old, N=80 were presented with moral dilemmas describing a conflict of interests between a con-specific (human and another species (animals or aliens. Participants were asked to evaluate the behavior of a human in terms of ‘good’ and ‘bad’, and to choose whom they would help: a human aggressor who benefits at the expense of a victim in vital need, or the victim. Results showed that the older children preferred to help non-human victims significantly more often than the younger children. The evaluation of human actions was related to the proportion of such preferences. These findings are discussed from the perspectives of kin selection theory, group selection theory and the system-evolutionary approach. The implications of the study for moral education are suggested.

  17. Accepting, understanding, teaching, and learning (human) evolution: Obstacles and opportunities.

    Science.gov (United States)

    Pobiner, Briana

    2016-01-01

    Questions about our origin as a species are universal and compelling. Evolution-and in particular human evolution-is a subject that generates intense interest across the world, evidenced by the fact that fossil and DNA discoveries grace the covers of major science journals and magazines as well as other popular print and online media. However, virtually all national polls indicate that the majority of Americans strongly reject biological evolution as a fact-based, well-tested, and robust understanding of the history of life. In the popular mind, no topic in all of science is more contentious or polarizing than evolution and media sources often only serve to magnify this polarization by covering challenges to the teaching of evolution. In the realm of teaching, debates about evolution have shaped textbooks, curricula, standards, and policy. Challenges to accepting and understanding evolution include mistrust and denial of science, cognitive obstacles and misconceptions, language and terminology, and a religious worldview, among others. Teachers, who are on the front lines of these challenges, must be armed with the tools and techniques to teach evolution in formal education settings across grades K-16 in a straightforward, thorough, and sensitive way. Despite the potentially controversial topic of human evolution, growing research is demonstrating that a pedagogical focus on human examples is an effective and engaging way to teach core concepts of evolutionary biology. © 2016 Wiley Periodicals, Inc.

  18. Understanding Chinese international college and university students' physical activity behavior

    Directory of Open Access Journals (Sweden)

    Zi Yan

    2015-06-01

    Conclusion: Understanding factors that influence PA among Chinese international students is an important step in the process of promoting their long-term health and wellbeing. Designing program that address the identified key factors may help colleges and universities achieve this goal.

  19. Using Story to Help Student Understanding of Gas Behavior

    Science.gov (United States)

    Wiebe, Rick; Stinner, Arthur

    2010-01-01

    Students tend to have a poor understanding of the concept of gas pressure. Usually, gas pressure is taught in terms of the various formulaic gas laws. The development of the concept of gas pressure according to the early Greeks did not include the concept of a vacuum. It was not for another 2000 years that Torricelli proposed that a vacuum can…

  20. Individual Differences in Toddlers’ Social Understanding & Prosocial Behavior: Disposition or Socialization?

    Directory of Open Access Journals (Sweden)

    Rebekkah Lauren Gross

    2015-05-01

    Full Text Available We examined how individual differences in social understanding contribute to variability in early-appearing prosocial behavior. Moreover, potential sources of variability in social understanding were explored and examined as additional possible predictors of prosocial behavior. Using a multi-method approach with both observed and parent-report measures, 325 children aged 18 to 30 months were administered measures of social understanding (e.g. use of emotion words; self-understanding, prosocial behavior (in separate tasks measuring instrumental helping, empathic helping, and sharing, as well as parent-reported prosociality at home, temperament (fearfulness, shyness, and social fear, and parental socialization of prosocial behavior in the family. Individual differences in social understanding predicted variability in empathic helping and parent-reported prosociality, but not instrumental helping or sharing. Parental socialization of prosocial behavior was positively associated with toddlers’ social understanding, prosocial behavior at home, and instrumental helping in the lab, and negatively associated with sharing (possibly reflecting parents’ increased efforts to encourage children who were less likely to share. Further, socialization moderated the association between social understanding and prosocial behavior, such that social understanding was less predictive of prosocial behavior among children whose parents took a more active role in socializing their prosociality. None of the dimensions of temperament was associated with either social understanding or prosocial behavior. Parental socialization of prosocial behavior is thus an important source of variability in children’s early prosociality, acting in concert with early differences in social understanding, with different patterns of influence for different subtypes of prosocial behavior.

  1. Understanding and managing human threats to the coastal marine environment.

    Science.gov (United States)

    Crain, Caitlin M; Halpern, Benjamin S; Beck, Mike W; Kappel, Carrie V

    2009-04-01

    Coastal marine habitats at the interface of land and sea are subject to threats from human activities in both realms. Researchers have attempted to quantify how these various threats impact different coastal ecosystems, and more recently have focused on understanding the cumulative impact from multiple threats. Here, the top threats to coastal marine ecosystems and recent efforts to understand their relative importance, ecosystem-level impacts, cumulative effects, and how they can best be managed and mitigated, are briefly reviewed. Results of threat analysis and rankings will differ depending on the conservation target (e.g., vulnerable species, pristine ecosystems, mitigatable threats), scale of interest (local, regional, or global), whether externalities are considered, and the types of management tools available (e.g., marine-protected areas versus ecosystem-based management). Considering the cumulative effect of multiple threats has only just begun and depends on spatial analysis to predict overlapping threats and a better understanding of multiple-stressor effects and interactions. Emerging conservation practices that hold substantial promise for protecting coastal marine systems include multisector approaches, such as ecosystem-based management (EBM), that account for ecosystem service valuation; comprehensive spatial management, such as ocean zoning; and regulatory mechanisms that encourage or require cross-sector goal setting and evaluation. In all cases, these efforts require a combination of public and private initiatives for success. The state of our ecological understanding, public awareness, and policy initiatives make the time ripe for advancing coastal marine management and improving our stewardship of coastal and marine ecosystems.

  2. Integrating the social sciences to understand human-water dynamics

    Science.gov (United States)

    Carr, G.; Kuil, L., Jr.

    2017-12-01

    Many interesting and exciting socio-hydrological models have been developed in recent years. Such models often aim to capture the dynamic interplay between people and water for a variety of hydrological settings. As such, peoples' behaviours and decisions are brought into the models as drivers of and/or respondents to the hydrological system. To develop and run such models over a sufficiently long time duration to observe how the water-human system evolves the human component is often simplified according to one or two key behaviours, characteristics or decisions (e.g. a decision to move away from a drought or flood area; a decision to pump groundwater, or a decision to plant a less water demanding crop). To simplify the social component, socio-hydrological modellers often pull knowledge and understanding from existing social science theories. This requires them to negotiate complex territory, where social theories may be underdeveloped, contested, dynamically evolving, or case specific and difficult to generalise or upscale. A key question is therefore, how can this process be supported so that the resulting socio-hydrological models adequately describe the system and lead to meaningful understanding of how and why it behaves as it does? Collaborative interdisciplinary research teams that bring together social and natural scientists are likely to be critical. Joint development of the model framework requires specific attention to clarification to expose all underlying assumptions, constructive discussion and negotiation to reach agreement on the modelled system and its boundaries. Mutual benefits to social scientists can be highlighted, i.e. socio-hydrological work can provide insights for further exploring and testing social theories. Collaborative work will also help ensure underlying social theory is made explicit, and may identify ways to include and compare multiple theories. As socio-hydrology progresses towards supporting policy development, approaches that

  3. Constructing Game Agents from Video of Human Behavior

    Science.gov (United States)

    2009-01-01

    Constructing Game Agents from Video of Human Behavior Nan Li1, David J. Stracuzzi1, Gary Cleveland1, Tolga Könik2, Dan Shapiro2, Matthew Molineaux3...ac- quiring domain knowledge from observed human behavior . Next, we demonstrate and evaluate the behaviors acquired and executed by ICARUS. Finally...REPORT TYPE 3. DATES COVERED 00-00-2009 to 00-00-2009 4. TITLE AND SUBTITLE Constructing Game Agents from Video of Human Behavior 5a

  4. Developmental Trajectories of Peer-Reported Aggressive Behavior: The Role of Friendship Understanding, Friendship Quality, and Friends’ Aggressive Behavior

    Science.gov (United States)

    Malti, Tina; McDonald, Kristina; Rubin, Kenneth H.; Rose-Krasnor, Linda; Booth-LaForce, Cathryn

    2015-01-01

    Objective To investigate developmental trajectories in peer-reported aggressive behavior across the transition from elementary-to-middle school, and whether aggressive behavior trajectories were associated with friendship quality, friends’ aggressive behavior, and the ways in which children think about their friendships. Method Participants included a community sample of 230 5th grade children who were assessed when they made a transition from elementary-to-middle school (6th grade). Peer nominations were used to assess the target child’s and friend’s aggressive behavior. Self- and friend reports were used to measure friendship quality; friendship understanding was assessed via a structured interview. Results General Growth Mixture Modeling (GGMM) revealed three distinct trajectories of peer-reported aggressive behavior across the school transition: low-stable, decreasing, and increasing. Adolescents’ understanding of friendship formation differentiated the decreasing from the low-stable aggressive behavior trajectories, and the understanding of friendship trust differentiated the increasing from the low-stable aggressive and decreasing aggressive behavior trajectories. Conclusions The findings indicated that a sophisticated understanding of friendship may serve as a protective factor for initially aggressive adolescents as they transition into middle school. Promoting a deepened understanding of friendship relations and their role in one’s own and others’ well-being may serve as an important prevention and intervention strategy to reduce aggressive behavior. PMID:26688775

  5. Developmental Trajectories of Peer-Reported Aggressive Behavior: The Role of Friendship Understanding, Friendship Quality, and Friends' Aggressive Behavior.

    Science.gov (United States)

    Malti, Tina; McDonald, Kristina; Rubin, Kenneth H; Rose-Krasnor, Linda; Booth-LaForce, Cathryn

    2015-10-01

    To investigate developmental trajectories in peer-reported aggressive behavior across the transition from elementary-to-middle school, and whether aggressive behavior trajectories were associated with friendship quality, friends' aggressive behavior, and the ways in which children think about their friendships. Participants included a community sample of 230 5 th grade children who were assessed when they made a transition from elementary-to-middle school (6 th grade). Peer nominations were used to assess the target child's and friend's aggressive behavior. Self- and friend reports were used to measure friendship quality; friendship understanding was assessed via a structured interview. General Growth Mixture Modeling (GGMM) revealed three distinct trajectories of peer-reported aggressive behavior across the school transition: low-stable, decreasing, and increasing. Adolescents' understanding of friendship formation differentiated the decreasing from the low-stable aggressive behavior trajectories, and the understanding of friendship trust differentiated the increasing from the low-stable aggressive and decreasing aggressive behavior trajectories. The findings indicated that a sophisticated understanding of friendship may serve as a protective factor for initially aggressive adolescents as they transition into middle school. Promoting a deepened understanding of friendship relations and their role in one's own and others' well-being may serve as an important prevention and intervention strategy to reduce aggressive behavior.

  6. Early human communication helps in understanding language evolution.

    Science.gov (United States)

    Lenti Boero, Daniela

    2014-12-01

    Building a theory on extant species, as Ackermann et al. do, is a useful contribution to the field of language evolution. Here, I add another living model that might be of interest: human language ontogeny in the first year of life. A better knowledge of this phase might help in understanding two more topics among the "several building blocks of a comprehensive theory of the evolution of spoken language" indicated in their conclusion by Ackermann et al., that is, the foundation of the co-evolution of linguistic motor skills with the auditory skills underlying speech perception, and the possible phylogenetic interactions of protospeech production with referential capabilities.

  7. Space, time and the limits of human understanding

    CERN Document Server

    Ghirardi, Giancarlo

    2017-01-01

    In this compendium of essays, some of the world’s leading thinkers discuss their conceptions of space and time, as viewed through the lens of their own discipline. With an epilogue on the limits of human understanding, this volume hosts contributions from six or more diverse fields. It presumes only rudimentary background knowledge on the part of the reader. Time and again, through the prism of intellect, humans have tried to diffract reality into various distinct, yet seamless, atomic, yet holistic, independent, yet interrelated disciplines and have attempted to study it contextually. Philosophers debate the paradoxes, or engage in meditations, dialogues and reflections on the content and nature of space and time. Physicists, too, have been trying to mold space and time to fit their notions concerning micro- and macro-worlds. Mathematicians focus on the abstract aspects of space, time and measurement. While cognitive scientists ponder over the perceptual and experiential facets of our consciousness of spac...

  8. Using the Theory of Planned Behavior to Understand the Beliefs of Chinese Teachers Concerning Teaching Games for Understanding

    Science.gov (United States)

    Wang, Lijuan

    2013-01-01

    This study describes the beliefs of Physical Education (PE) teachers regarding Teaching Games for Understanding (TGfU) based on the Theory of Planned Behavior (TPB). Twenty PE teachers participated in this study. Data collection consisted of a survey on demographic data and semistructured interviews. The research results indicate that the teachers…

  9. Observation of interactive behavior increases corticospinal excitability in humans: A transcranial magnetic stimulation study.

    Science.gov (United States)

    Aihara, Tsuyoshi; Yamamoto, Shinji; Mori, Hirotaka; Kushiro, Keisuke; Uehara, Shintaro

    2015-11-01

    In humans, observation of others' behaviors increases corticospinal excitability (CSE), which is interpreted in the contexts of motor resonance and the "mirror neuron system" (MNS). It has been suggested that observation of another individual's behavior manifests an embodied simulation of his/her mental state through the MNS. Thus, the MNS may involve understanding others' intentions of behaviors, thoughts, and emotions (i.e., social cognition), and may therefore exhibit a greater response when observing human-interactive behaviors that require a more varied and complex understanding of others. In the present study, transcranial magnetic stimulation was applied to the primary motor cortex of participants observing human-interactive behaviors between two individuals (c.f. one person reaching toward an object in another person's hand) and non-interactive individual behavior (c.f. one person reaching toward an object on a dish). We carefully controlled the kinematics of behaviors in these two conditions to exclude potential effects of MNS activity changes associated with kinematic differences between visual stimuli. Notably, motor evoked potentials, that reflect CSE, from the first dorsal interosseous muscle exhibited greater amplitude when the participants observed interactive behaviors than when they observed non-interactive behavior. These results provide neurophysiological evidence that the MNS is activated to a greater degree during observation of human-interactive behaviors that contain additional information about the individuals' mental states, supporting the view that the MNS plays a critical role in social cognition in humans. Copyright © 2015 Elsevier Inc. All rights reserved.

  10. Understanding criminal behavior: Empathic impairment in criminal offenders.

    Science.gov (United States)

    Mariano, Melania; Pino, Maria Chiara; Peretti, Sara; Valenti, Marco; Mazza, Monica

    2017-08-01

    Criminal offenders (CO) are characterized by antisocial and impulsive lifestyles and reduced empathy competence. According to Zaki and Ochsner, empathy is a process that can be divided into three components: mentalizing, emotional sharing and prosocial concern. The aim of our study was to evaluate these competences in 74 criminal subjects compared to 65 controls. The CO group demonstrated a lower ability in measures of mentalizing and sharing, especially in recognizing the mental and emotional states of other people by observing their eyes and sharing other people's emotions. Conversely, CO subjects showed better abilities in prosocial concern measures, such as judging and predicting the emotions and behavior of other people, but they were not able to evaluate the gravity of violations of social rules as well as the control group. In addition, logistic regression results show that the higher the deficits in the mentalizing component are, the higher the probability of committing a crime against another person. Taken together, our results suggest that criminal subjects are able to judge and recognize other people's behavior as right or wrong in a social context, but they are not able to recognize and share the suffering of other people.

  11. Understanding prehospital delay behavior in acute myocardial infarction in women.

    Science.gov (United States)

    Waller, Cynthia G

    2006-12-01

    Studies demonstrate that acute myocardial infarction (AMI) mortality can be reduced if reperfusion therapy is initiated within 1 hour of AMI symptom onset. However, a considerable number of men and women arrive at the emergency department outside of the time frame for thrombolytic and angioplasty effectiveness. This is especially true for women who have been shown to delay longer than men due to their prehospital decision-making process utilized. With a mean total delay time greater than 4 hours, the time interval from symptom onset to transport activation to the hospital consumes the majority of the prehospital phase of emergency cardiac care. The health belief model, self-regulation model, theory of reasoned action, and theory of planned behavior have all been used to describe the prehospital decision-making process of both men and women with an AMI and the variables that impact that process. These models have identified the importance of symptom attribution to cardiac-related causes as a target variable for research and interventions related to care-seeking behavior.

  12. Applying the reasoned action approach to understanding health protection and health risk behaviors.

    Science.gov (United States)

    Conner, Mark; McEachan, Rosemary; Lawton, Rebecca; Gardner, Peter

    2017-12-01

    The Reasoned Action Approach (RAA) developed out of the Theory of Reasoned Action and Theory of Planned Behavior but has not yet been widely applied to understanding health behaviors. The present research employed the RAA in a prospective design to test predictions of intention and action for groups of protection and risk behaviors separately in the same sample. To test the RAA for health protection and risk behaviors. Measures of RAA components plus past behavior were taken in relation to eight protection and six risk behaviors in 385 adults. Self-reported behavior was assessed one month later. Multi-level modelling showed instrumental attitude, experiential attitude, descriptive norms, capacity and past behavior were significant positive predictors of intentions to engage in protection or risk behaviors. Injunctive norms were only significant predictors of intention in protection behaviors. Autonomy was a significant positive predictor of intentions in protection behaviors and a negative predictor in risk behaviors (the latter relationship became non-significant when controlling for past behavior). Multi-level modelling showed that intention, capacity, and past behavior were significant positive predictors of action for both protection and risk behaviors. Experiential attitude and descriptive norm were additional significant positive predictors of risk behaviors. The RAA has utility in predicting both protection and risk health behaviors although the power of predictors may vary across these types of health behavior. Copyright © 2017 Elsevier Ltd. All rights reserved.

  13. HEIDEGGER’S HUMAN DIMENSION UNDERSTANDING OF TECHNOLOGY

    Directory of Open Access Journals (Sweden)

    Uliana R. Vynnyk

    2013-12-01

    Full Text Available The aim of the research is to identify M. Heidegger's human dimension approach to the issue of technology .It is achieved by means of applying methods of analysis and synthesis in relation to philosopher’s philosophical and technical ideas. Scientific novelty. Philosopher’s important human dimension trends concerning technology are outlined in the research and are manifested in the concern for individuals to keep their humanity and dignity and make for the freedom eliminating everything that may adversely affect their essence.(немного поменяла слова и их порядок The term "individual measurability" involves a process of spiritual and intellectual development of a man and, in this context, through his development and humanity one should evaluate everything created by him; technical, social progress should be seen primarily from the point of view of a free man, humane, rationally and existentially independent from the artificially created world, who is able to play an advanced role in the process of his own development, social progress and technology. Techniques and technologies, in their turn, should progress, based primarily on human needs. Individuals, coexisting with technical means should take everything that is good for them and simultaneously use them for their spiritual and personal development. Conclusion. Having occupied a special position in relation to the tradition of European criticism, the philosopher considered technology, its essence and specificity, as well as features of technical activities in different historical periods to be a subject of a positive philosophical analysis. Heidegger broke with the tradition of European philosophy of technology, which focused its attention on the direct, "obvious" achievements of progress, having showed that the effects of intrusion of technology are diverse and difficult to be predicted in the long run. Technological dependence is hardly fatal to humans in the

  14. PHENOMENOLOGY OF LIFE IN UNDERSTANDING THE COSMOPOLITAN HUMANNESS

    Directory of Open Access Journals (Sweden)

    CARMEN COZMA

    2013-05-01

    Full Text Available One of the most significant directions of the world-wide contemporary philosophy, phenomenology of life of Anna-Teresa Tymieniecka represents a major path of thinking and acting for the promotion of what does mean the universal valuable in human beingness by disclosing and unfolding an essential modality of understanding and shaping some paradigms of world culture. We face an original author and a reputed activist doing exceptional work to foster a culture of dialogue in the world. The impressive Tymienieckan philosophical work has imposed itself as a great contribution to the heralding of a “New Enlightenment” encompassing humanity in the endeavour of creating, maintaining and developing the wellbeing and the common good of mankind, in securing the human common destiny. Putting in act a holistic and dynamic philosophy upon life and human condition, phenomenology of life offers a viable pattern of communication between different cultures, of overcoming any kind of contradictions in dealing with the fundamental issues of living together and sharing-in-life. We can find elements for tackling and comprehending in a better way our cosmopolitan humanness, due to the opening of a creative approach of identity and otherness, by admitting differentiation and also by working for harmony in the play of life. Throughout new concepts and a very own complex vision of the respect for life, the philosophy-in-act of AnnaTeresa Tymieniecka manifests valences of an integrator enterprise in interpreting the cosmopolitan status of the philosopher in nowadays, in affirming the role of a responsible citizen of the world.

  15. Understanding the Relationship Between Subjective Wellbeing and Gambling Behavior.

    Science.gov (United States)

    Farrell, Lisa

    2018-03-01

    This paper examines the relationship between gambling behavior and subjective wellbeing. It is often asserted that populations consist of different types of gamblers: those for whom gambling is a harmless leisure activity and those (pathological/problem gamblers) for whom the activity has harmful effects. One might, therefore, assume that subjective wellbeing will be negativity associated with an individual's level of gambling addiction. Alternatively, gamblers may choose to gamble because they derive utility from participating in this activity and so the relationship between happiness and gambling might be positively correlated. In this paper we test this association, empirically, using data from the 2010 British Gambling Prevalence Survey. The statistically significant findings from this analysis support the hypothesis that individual wellbeing falls as gambling disorder increases.

  16. Students’ online purchasing behavior in Malaysia: Understanding online shopping attitude

    Directory of Open Access Journals (Sweden)

    Marzieh Zendehdel

    2015-12-01

    Full Text Available Studies examining the factors that affect the online purchasing behavior of consumers are rare, despite the prospective advance of e-commerce in Malaysia. The present study examines particular factors that influence the attitude of potential consumers to purchase online by using the attributes from the diffusion of innovations theory of Rogers, the attribute of perception of risk, and the subjective norms toward online purchasing. Consumers’ perceived risks of online shopping have become a vital subject in research because they directly influence users’ attitude toward online purchasing. The structural equation modeling method was used to analyze the data gathered on students using e-commerce, and, thus, to validate the model. According to the results, consumers’ attitude toward online purchasing affects the intention toward online purchasing. The other influential factors are compatibility, relative advantage, and subjective norm.

  17. Understanding Spatiotemporal Patterns of Human Convergence and Divergence Using Mobile Phone Location Data

    Directory of Open Access Journals (Sweden)

    Xiping Yang

    2016-09-01

    Full Text Available Investigating human mobility patterns can help researchers and agencies understand the driving forces of human movement, with potential benefits for urban planning and traffic management. Recent advances in location-aware technologies have provided many new data sources (e.g., mobile phone and social media data for studying human space-time behavioral regularity. Although existing studies have utilized these new datasets to characterize human mobility patterns from various aspects, such as predicting human mobility and monitoring urban dynamics, few studies have focused on human convergence and divergence patterns within a city. This study aims to explore human spatial convergence and divergence and their evolutions over time using large-scale mobile phone location data. Using a dataset from Shenzhen, China, we developed a method to identify spatiotemporal patterns of human convergence and divergence. Eight distinct patterns were extracted, and the spatial distributions of these patterns are discussed in the context of urban functional regions. Thus, this study investigates urban human convergence and divergence patterns and their relationships with the urban functional environment, which is helpful for urban policy development, urban planning and traffic management.

  18. Understanding change in recycling and littering behavior across a school social network.

    Science.gov (United States)

    Long, Jennifer; Harré, Niki; Atkinson, Quentin D

    2014-06-01

    Understanding how communities change requires examining how individuals' beliefs and behaviors are shaped by those around them. This paper investigates behavior change across a large social network following a recycling intervention in a New Zealand high school community. We used a mixed methods design, combining focus group data with social network analysis from two waves of a questionnaire that measured friendship networks; recycling and littering behaviors; perceived behavioral norms; and teacher, friend, and parent encouragement for these behaviors. Recycling behavior increased significantly over the course of our study. Supporting the importance of social networks in this context, both littering and recycling behavior showed clear social clustering. Further, the degree of change in an individuals' littering and recycling behavior across time was predicted by friends' prior behavior. Focus group data provided insight into students' perceptions of social interactions and how these contributed to littering and recycling behavior.

  19. Research opportunities in human behavior and performances

    Science.gov (United States)

    Christensen, J. M.; Talbot, J. M.

    1985-01-01

    The NASA research program in the biological and medical aspects of space flight includes investigations of human behavior and performance. The research focuses on psychological and psychophysiological responses to operational and environmental stresses and demands of spaceflight, and encompasses problems in perception, cognition, motivation, psychological stability, small group dynamics, and performance. The primary objective is to acquire the knowledge and methodology to aid in achieving high productivity and essential psychological support of space and ground crews in the Space Shuttle and space station programs. The Life Sciences Research Office (LSRO) of the Federation of American Societies for Experimental Biology reviewed its program in psychology and identified its research for future program planning to be in line with NASA's goals.

  20. Understanding externalizing behavior from children's personality and parenting characteristics.

    Science.gov (United States)

    Hiramura, Hidetoshi; Uji, Masayo; Shikai, Noriko; Chen, Zi; Matsuoka, Nao; Kitamura, Toshinori

    2010-01-30

    A total of 946 Japanese children in the 5th to 9th grades and their parents were studied in order to investigate the extent to which parenting characteristics (measured by the Parental Bonding Instrument) and the personality of the child (measured by the junior version of the Temperament and Character Inventory) would be associated with the two aspects of the externalizing problems--aggression and delinquency--of the child (measured by the Child Behavior Checklist). A series of regression analyses demonstrated that (1) aggressive children were higher in Novelty Seeking, and delinquent children were higher in Novelty Seeking and lower in Harm Avoidance, and (2) both aggressive and delinquent children were characterised by low maternal care, paternal over-protection, and low maternal overprotection. A structural equation model confirmed these findings except for the link between the two externalizing behaviour scores and the maternal care. Moreover, it was suggested that Novelty seeking of the child would be predicted by low parental care and low paternal and high maternal overprotection. The children's aggression and delinquency could, to some extent, be explainable by their temperament patterns and parental characteristics.

  1. Ontology-based Deep Learning for Human Behavior Prediction with Explanations in Health Social Networks.

    Science.gov (United States)

    Phan, Nhathai; Dou, Dejing; Wang, Hao; Kil, David; Piniewski, Brigitte

    2017-04-01

    Human behavior modeling is a key component in application domains such as healthcare and social behavior research. In addition to accurate prediction, having the capacity to understand the roles of human behavior determinants and to provide explanations for the predicted behaviors is also important. Having this capacity increases trust in the systems and the likelihood that the systems actually will be adopted, thus driving engagement and loyalty. However, most prediction models do not provide explanations for the behaviors they predict. In this paper, we study the research problem, human behavior prediction with explanations , for healthcare intervention systems in health social networks. We propose an ontology-based deep learning model ( ORBM + ) for human behavior prediction over undirected and nodes-attributed graphs. We first propose a bottom-up algorithm to learn the user representation from health ontologies. Then the user representation is utilized to incorporate self-motivation , social influences , and environmental events together in a human behavior prediction model, which extends a well-known deep learning method, the Restricted Boltzmann Machine. ORBM + not only predicts human behaviors accurately, but also, it generates explanations for each predicted behavior. Experiments conducted on both real and synthetic health social networks have shown the tremendous effectiveness of our approach compared with conventional methods.

  2. Applying theory-driven approaches to understanding and modifying clinicians' behavior: what do we know?

    Science.gov (United States)

    Perkins, Matthew B; Jensen, Peter S; Jaccard, James; Gollwitzer, Peter; Oettingen, Gabriele; Pappadopulos, Elizabeth; Hoagwood, Kimberly E

    2007-03-01

    Despite major recent research advances, large gaps exist between accepted mental health knowledge and clinicians' real-world practices. Although hundreds of studies have successfully utilized basic behavioral science theories to understand, predict, and change patients' health behaviors, the extent to which these theories-most notably the theory of reasoned action (TRA) and its extension, the theory of planned behavior (TPB)-have been applied to understand and change clinician behavior is unclear. This article reviews the application of theory-driven approaches to understanding and changing clinician behaviors. MEDLINE and PsycINFO databases were searched, along with bibliographies, textbooks on health behavior or public health, and references from experts, to find article titles that describe theory-driven approaches (TRA or TPB) to understanding and modifying health professionals' behavior. A total of 19 articles that detailed 20 studies described the use of TRA or TPB and clinicians' behavior. Eight articles describe the use of TRA or TPB with physicians, four relate to nurses, three relate to pharmacists, and two relate to health workers. Only two articles applied TRA or TPB to mental health clinicians. The body of work shows that different constructs of TRA or TPB predict intentions and behavior among different groups of clinicians and for different behaviors and guidelines. The number of studies on this topic is extremely limited, but they offer a rationale and a direction for future research as well as a theoretical basis for increasing the specificity and efficiency of clinician-targeted interventions.

  3. Understanding the behavior of buried Bi nanostructures from first principles

    Science.gov (United States)

    Sims, Hunter; Pantelides, Sokrates; Song, Jiaming; Hudak, Bethany; Lupini, Andrew; Snijders, Paul

    Bismuth dopants in silicon provide several advantages over other n-type options such as phosphorus for usage as quantum bits (qubits). Self-assembled Bi nanolines on Si (100) surfaces may provide a means of introducing these dopants with greater control over placement and with less damage to the host system than is possible using ion implantation. However, these structures have thus far only been observed in vacuum, limiting their usefulness for application. We examine Bi nanolines overgrown with amorphous Si using density functional theory, comparing our findings with observations from scanning tunneling microscopy (STM) and atomic-resolution scanning transmission electron microscopy (STEM) in order to better understand the way in which the Si surface is influenced by both the Bi ad-dimers and the capping layer. We compare the thermodynamic stability of the generally accepted haiku defect core to the modified core that we observe and offer insight from total energy calculations into how the overgrowth process affects the nanolines. Supported by Department of Energy Grant DE-FG02- 09ER46554 (VU) and by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U. S. Department of Energy (ORNL).

  4. Case-Based Reasoning for Human Behavior Modeling

    Science.gov (United States)

    2006-02-16

    edition may be used. Case Based Reasoning for Human Behavior Modeling CDRL A002 for Contract N00014-03-C-0178 February 16, 2006 Document...maintaining a useful repository demand that reuse be supported for human behavior modeling even if other model construction aids are also available...et al. (2001). Results of the Common Human Behavior Representation And Interchange System (CHRIS) Workshop. Fall 2001 Simulation Interoperability

  5. Human behavior research and the design of sustainable transport systems

    Science.gov (United States)

    Schauer, James J.

    2011-09-01

    Transport currently represents approximately 19% of the global energy demand and accounts for about 23% of the global carbon dioxide emissions (IEA 2009). As the demand for mobility is expected to continue to increase in the coming decades, the stabilization of atmospheric carbon dioxide levels will require the evolution of transport, along with power generation, building design and manufacturing. The continued development of these sectors will need to include changes in energy sources, energy delivery, materials, infrastructure and human behavior. Pathways to reducing carbon from the transport sector have unique challenges and opportunities that are inherent to the human choices and behavioral patterns that mold the transportation systems and the associated energy needs. Technology, government investment, and regulatory policies have a significant impact on the formulation of transportation infrastructure; however, the role of human behavior and public acceptance on the efficiency and effectiveness of transport systems should not be underestimated. Although developed, rapidly developing, and underdeveloped nations face different challenges in the establishment of transport infrastructure that can meet transport needs while achieving sustainable carbon dioxide emissions, the constraints that establish the domain of possibilities are closely related for all nations. These constraints include capital investment, fuel supplies, power systems, and human behavior. Throughout the world, there are considerable efforts directed at advancing and optimizing the financing of sustainable infrastructures, the production of low carbon fuels, and the production of advanced power systems, but the foundational work on methods to understand human preferences and behavior within the context of transport and the valuation of reductions in carbon dioxide emissions is greatly lagging behind. These methods and the associated understanding of human behavior and the willingness to pay for

  6. Training veterinary students in animal behavior to preserve the human-animal bond.

    Science.gov (United States)

    Sherman, Barbara L; Serpell, James A

    2008-01-01

    Knowledge of animal behavior is an extremely important component of modern veterinary practice. Appreciation of species-typical behavior helps to ensure that veterinary patients are handled safely and humanely, and plays a pivotal role in the diagnosis of health and welfare problems in animals, including the recognition of pain and distress. Veterinary students who acquire a good understanding of animal behavior will be better clinicians and will be best able to promote and repair the "human-animal bond," that important connection between people and their pets. Animal behavior problems can negatively impact this critical relationship, leading to abandonment, re-homing, relinquishment to an animal shelter, and sometimes premature euthanasia of the animal. Therefore, identifying, preventing, and treating behavior problems is important in maintaining the human-animal bond. Education in animal behavior should be an essential part of the veterinary curriculum; a board-certified veterinary behaviorist should be an integral member of the veterinary college faculty.

  7. Towards an understanding of the role of the environment in the development of early callous behavior

    Science.gov (United States)

    Waller, Rebecca; Shaw, Daniel S.; Neiderhiser, Jenae M.; Ganiban, Jody M.; Natsuaki, Misaki N.; Reiss, David; Trentacosta, Christopher; Leve, Leslie D.; Hyde, Luke W.

    2015-01-01

    Key to understanding the long-term impact of social inequalities is identifying early behaviors that may signal higher risk for later poor psychosocial outcomes, such as psychopathology. A set of early-emerging characteristics that may signal risk for later externalizing psychopathology is Callous-Unemotional (CU) behavior. CU behavior predict severe and chronic trajectories of externalizing behaviors in youth. However, much research on CU behavior has focused on late childhood and adolescence, with little attention paid to early childhood when preventative interventions may be most effective. In this paper, we summarize our recent work showing that: (1) CU behavior can be identified in early childhood using items from common behavior checklists; (2) CU behavior predicts worse outcomes across early childhood; (3) CU behavior exhibits a distinct nomological network from other early externalizing behaviors; and (4) malleable environmental factors, particularly parenting, may play a role in the development of early CU behaviors. We discuss the challenges of studying contextual contributors to the development of CU behavior in terms of gene-environment correlations and present initial results from work examining CU behavior in an adoption study in which gene-environment correlations are examined in early childhood. We find that parenting is a predictor of early CU behavior even in a sample in which parents are not genetically related to the children. PMID:26291075

  8. Structure and mechanical behavior of human hair.

    Science.gov (United States)

    Yu, Yang; Yang, Wen; Wang, Bin; Meyers, Marc André

    2017-04-01

    The understanding of the mechanical behavior of hair under various conditions broadens our knowledge in biological materials science and contributes to the cosmetic industry. The hierarchical organization of hair is studied from the intermediate filament to the structural levels. The effects of strain rate, relative humidity, and temperature are evaluated. Hair exhibits a high tensile strength, 150-270MPa, which is significantly dependent on strain rate and humidity. The strain-rate sensitivity, approximately 0.06-0.1, is comparable to that of other keratinous materials and common synthetic polymers. The structures of the internal cortex and surface cuticle are affected by the large tensile extension. One distinguishing feature, the unwinding of the α-helix and the possible transformation to β-sheet structure of keratin under tension, which affects the ductility of hair, is analytically evaluated and incorporated into a constitutive equation. A good agreement with the experimental results is obtained. This model elucidates the tensile response of the α-keratin fibers. The contributions of elastic and plastic strains on reloading are evaluated and correlated to structural changes. Copyright © 2016 Elsevier B.V. All rights reserved.

  9. Using the Theory of Planned Behavior to Understand Cervical Cancer Screening among Latinas

    Science.gov (United States)

    Roncancio, Angelica M.; Ward, Kristy K.; Sanchez, Ingrid A.; Cano, Miguel A.; Byrd, Theresa L.; Vernon, Sally W.; Fernandez-Esquer, Maria Eugenia; Fernandez, Maria E.

    2015-01-01

    To reduce the high incidence of cervical cancer among Latinas in the United States it is important to understand factors that predict screening behavior. The aim of this study was to test the utility of theory of planned behavior in predicting cervical cancer screening among a group of Latinas. A sample of Latinas (N = 614) completed a baseline…

  10. Maternal Behavior Modifications during Pretense and Their Long-Term Effects on Toddlers' Understanding of Pretense

    Science.gov (United States)

    Nakamichi, Naoko

    2015-01-01

    Recent studies indicate the need to investigate the sources of toddlers' understanding of another person's pretense. The present study is a cultural and longitudinal extension of the work of Lillard and Witherington (2004), who claimed that mothers modify their behaviors during pretense and that the some of these behavior modifications help their…

  11. Understanding Nature-Related Behaviors among Children through a Theory of Reasoned Action Approach

    Science.gov (United States)

    Gotch, Chad; Hall, Troy

    2004-01-01

    The Theory of Reasoned Action has proven to be a valuable tool for predicting and understanding behavior and, as such, provides a potentially important basis for environmental education program design. This study used a Theory of Reasoned Action approach to examine a unique type of behavior (nature-related activities) and a unique population…

  12. Human behavior-based particle swarm optimization.

    Science.gov (United States)

    Liu, Hao; Xu, Gang; Ding, Gui-Yan; Sun, Yu-Bo

    2014-01-01

    Particle swarm optimization (PSO) has attracted many researchers interested in dealing with various optimization problems, owing to its easy implementation, few tuned parameters, and acceptable performance. However, the algorithm is easy to trap in the local optima because of rapid losing of the population diversity. Therefore, improving the performance of PSO and decreasing the dependence on parameters are two important research hot points. In this paper, we present a human behavior-based PSO, which is called HPSO. There are two remarkable differences between PSO and HPSO. First, the global worst particle was introduced into the velocity equation of PSO, which is endowed with random weight which obeys the standard normal distribution; this strategy is conducive to trade off exploration and exploitation ability of PSO. Second, we eliminate the two acceleration coefficients c 1 and c 2 in the standard PSO (SPSO) to reduce the parameters sensitivity of solved problems. Experimental results on 28 benchmark functions, which consist of unimodal, multimodal, rotated, and shifted high-dimensional functions, demonstrate the high performance of the proposed algorithm in terms of convergence accuracy and speed with lower computation cost.

  13. Why Studying Human Behavior is a Critical Component of Patient Safety.

    Science.gov (United States)

    Su, Lillian

    2015-12-01

    Since humans are an integral part of healthcare delivery, it is appropriate to understand how human nature and human error impact patient safety. A thorough understanding of the interactions between humans and the medical environment could help decrease errors that result in patient harm. This article describes some of our findings from a study that revealed unexpected behaviors which were documented on video during critical events (cardiac arrests) in a pediatric cardiac intensive care unit (CICU). We changed our training process for cardiac arrests as well as our nurse staffing in the CICU based upon results of our study. We believe that the lessons learned in our CICU are generalizable to both inpatient and ambulatory settings. We also emphasize the importance of collaborating with social scientists to rigorously study innate maladaptive patterns of human behavior to determine strategies to mitigate "human factors" during acute medical crises. Copyright © 2015 Mosby, Inc. All rights reserved.

  14. Understanding social and behavioral drivers and impacts of air quality sensor use.

    Science.gov (United States)

    Hubbell, Bryan J; Kaufman, Amanda; Rivers, Louie; Schulte, Kayla; Hagler, Gayle; Clougherty, Jane; Cascio, Wayne; Costa, Dan

    2018-04-15

    Lower-cost air quality sensors (hundreds to thousands of dollars) are now available to individuals and communities. This technology is undergoing a rapid and fragmented evolution, resulting in sensors that have uncertain data quality, measure different air pollutants and possess a variety of design attributes. Why and how individuals and communities choose to use sensors is arguably influenced by social context. For example, community experiences with environmental exposures and health effects and related interactions with industry and government can affect trust in traditional air quality monitoring. To date, little social science research has been conducted to evaluate why or how sensors, and sensor data, are used by individuals and communities, or how the introduction of sensors changes the relationship between communities and air quality managers. This commentary uses a risk governance/responsible innovation framework to identify opportunities for interdisciplinary research that brings together social scientists with air quality researchers involved in developing, testing, and deploying sensors in communities. Potential areas for social science research include communities of sensor users; drivers for use of sensors and sensor data; behavioral, socio-political, and ethical implications of introducing sensors into communities; assessing methods for communicating sensor data; and harnessing crowdsourcing capabilities to analyze sensor data. Social sciences can enhance understanding of perceptions, attitudes, behaviors, and other human factors that drive levels of engagement with and trust in different types of air quality data. New transdisciplinary research bridging social sciences, natural sciences, engineering, and design fields of study, and involving citizen scientists working with professionals from a variety of backgrounds, can increase our understanding of air sensor technology use and its impacts on air quality and public health. Published by Elsevier B.V.

  15. ‘Unwilling’ versus ‘unable’: Tonkean macaques’ understanding of human goal-directed actions

    Directory of Open Access Journals (Sweden)

    Charlotte Canteloup

    2017-05-01

    Full Text Available The present study investigated the understanding of goal-directed actions in Tonkean macaques (Macaca tonkeana using the unwilling versus unable paradigm, previously used in several species. Subjects were tested in three experimental conditions that varied according to the goal-directed actions of a human actor. In the “unwilling” condition, the actor was capable of giving the subject food but unwilling to do it; in the “unable” condition, she was willing to give food but was unable to do it because of a physical barrier; and in the “distracted” condition, she was occupied by manipulating a pebble instead of food. We report for the first time that Tonkean macaques, like capuchins, chimpanzees and human infants, behaved differently across these experimental conditions. They attempted to grasp food in the actor’s hand significantly more and displayed more threats in the presence of an unwilling actor rather than an unable or a distracted one. Inversely, they begged significantly more and displayed more frustration behaviors facing a distracted and unable experimenter rather than an unwilling one. These results suggest that Tonkean macaques understand human goal-directed actions by predicting whether they were likely to obtain food merely based on movements, cue and motor intentions reading and understanding of physical constraints.

  16. Suboptimal choice by pigeons: an analog of human gambling behavior.

    Science.gov (United States)

    Zentall, Thomas R

    2014-03-01

    Human gambling often involves the choice of a low probability but high valued outcome over a high probability (certain) low valued outcome (not gambling) that is economically more optimal. We have developed an analog of gambling in which pigeons prefer a suboptimal alternative that infrequently provides a signal for a high probability (or high magnitude) of reinforcement over an optimal alternative that always provides a signal for a lower probability (or lower magnitude) of reinforcement. We have identified two mechanisms that may be responsible for this suboptimal behavior. First, the effect of nonreinforcement results in considerably less inhibition of choice than ideally it should. Second, the frequency of the occurrence of the signal for a high probability or high magnitude of reinforcement is less important than ideally it should. Also analogous to human gambling is the finding that pigeons that are normally food restricted choose suboptimally, whereas those that are minimally food restricted choose optimally. In addition, pigeons that are singly housed choose suboptimally, whereas those that are exposed to a more enriched environment choose less suboptimally. We believe that these findings have implications for the understanding and treatment of problem gambling behavior. Copyright © 2013 Elsevier B.V. All rights reserved.

  17. Optical techniques to understand biofunctional adaptation in human dentine

    Science.gov (United States)

    Kishen, Anil; Asundi, Anand K.

    2004-08-01

    Human tooth structure in the oral environment is subjected to mechanical forces and thermal fluctuations. Dentine, the major component of the tooth structure, is a bio-composite, mainly composed of a highly mineralized phase and a collagenous phase. When subjected to changes in load and/or temperature, dentine will experience stresses and strains distribution within their structure. Though such effects are found to cause deleterious effects on artificial dental restorations, biological structures such as dentine seem to posses an inherent ability to adapt to functional thermo-mechanical loads. Optical techniques enable visualization and quantification of deformation, strain and stress on dental structures and provide a better understanding on their thermo-mechanical response. In this study 2-dimensional and 3-dimensional digital photoelasticity, digital moiré interferometry and Electronic Speckle Pattern Interferometry (ESPI) are all shown to be quite promising in this application. This paper will highlight these techniques and the corresponding applications. These experiments will aid in designing and development of better dental restorations and implants in clinical practice.

  18. From Annotated Multimodal Corpora to Simulated Human-Like Behaviors

    DEFF Research Database (Denmark)

    Rehm, Matthias; André, Elisabeth

    2008-01-01

    Multimodal corpora prove useful at different stages of the development process of embodied conversational agents. Insights into human-human communicative behaviors can be drawn from such corpora. Rules for planning and generating such behavior in agents can be derived from this information...... can be used either directly for imitating the human behavior recorded in the corpus or rules can be derived from the data which govern the behavior planning process. Corpora can even play a vital role in the evaluation of agent systems. Several studies are presented that make use of corpora...

  19. Measuring and Understanding Public Opinion on Human Evolution

    Science.gov (United States)

    Gwon, Misook

    The theory of evolution has long generated controversy in American society, but Americans' attitudes about human evolution are often neglected in studies of "culture wars" and the nature of mass belief systems more generally (Berkman and Plutzer 2010; Freeland and Houston 2009). Gallup and other survey organizations have polled about evolution, but offered limited response categories that mask complexity in public opinion (Bishop 2006; Moore 2008). The main problems concerning the leading survey questions about evolution are: first, questions measure only a single dimension, thus they ignore the potential for multidimensionality in people's attitudes. Second, depending on question wording and response options, the results of public opinion surveys vary by polling groups. This is an example of measurement error which misleads the interpretation and impression of American public opinion on the origin of humankind. A number of studies have analyzed Americans' beliefs about evolution and hypothesized about the influential effects of several factors (Deckman 2002; Mazur 2005; Mooney 2005; Miller et al. 2006; Newport 2006; Forrest 2007;Nisbet and Goidel 2007;Scott 2009). However, there remains a lack of complete understanding of what Americans know and believe about human evolution. Given the salience of this issue and the significant influence of public opinion on policy-making in America (Page and Shapiro 1992; Stimson 2004; Newport 2004), the measurement error and explanation of polling results on controversial issues related to this topic are in need of clarification. In this study, I address these deficiencies with analyses of data from a 2008 national survey by Harris Interactive (n= 4,626) that included numerous measures of factual knowledge and beliefs about evolution. The items offer more nuanced response options than the standard three-category question asked for decades by the Gallup poll. The Harris survey also had multiple measures of religiosity and the

  20. Understanding Attitudes and Pro-Environmental Behaviors in a Chilean Community

    Directory of Open Access Journals (Sweden)

    Nicolás C. Bronfman

    2015-10-01

    Full Text Available Environmental protection and restoration are some of the major challenges faced by our society. To address this problem, it is fundamental to understand pro-environmental behaviors in the population, as well as the factors that determine them. There are, however, very few studies conducted in Latin America that are focused in understanding the environmental behavior of its citizens. The main goal of this research was to study the environmental behaviors of a Chilean community and identify the factors that determine them. To that end, a diverse set of environmental behaviors (power and water conservation, environmentally-aware consumer behavior, biodiversity protection, rational automobile use and ecological waste management and sociodemographic and attitudinal factors—based on the VBN model—were evaluated. Survey data was obtained from a statistically representative sample (N = 1537 in Santiago, Chile. Our results suggest that several participants displayed tendencies that favor more responsible environmental behaviors, with high environmental concern, and demonstrating their ample awareness of the consequences of failing to protect the environment. Nevertheless, the highest average scores of environmental behavior were related to low cost behaviors and those that imposed the fewest behavioral restrictions. In global terms, we concluded that the youngest subjects in the lowest socioeconomic group obtained the lowest scores across the pro-environmental behavior spectrum.

  1. Homo Ethicus : Understanding the Human Nature that Underlies ...

    African Journals Online (AJOL)

    Abstract. The themes of human rights and human rights education in South Africa's multi-cultural society are central to the work of Cornelia Roux. This article discusses the human reality and ethics underlying those themes, using an approach based on a view of human nature. It has six sections, starting with an introduction ...

  2. Irrational choice behavior in human and nonhuman primates.

    Science.gov (United States)

    Perdue, Bonnie M; Brown, Ella R

    2018-03-01

    Choice behavior in humans has motivated a large body of research with a focus on whether decisions can be considered to be rational. In general, humans prefer having choice, as do a number of other species that have been tested, even though having increased choice does not necessarily yield a positive outcome. Humans have been found to choose an option more often only because the opportunity to select it was diminishing, an example of a deviation from economic rationality. Here we extend this paradigm to nonhuman primates in an effort to understand the mechanisms underlying this finding. In this study, we presented two groups of laboratory monkeys, capuchins (Cebus apella) and rhesus macaques (Macaca mulatta), as well as human subjects, with a computerized task in which subjects were presented with two differently colored icons. When the subject selected an icon, differing numbers of food pellets were dispensed (or points were assigned), making each icon correspond to a certain level of risk (one icon yielded 1 or 4 pellets/points and the other yielded 2 or 3). Initially, both options remained constantly available and we established choice preference scores for each subject. Then, we assessed preference patterns once the options were not continuously available. Specifically, choosing one icon would cause the other to shrink in size on the screen and eventually disappear if never selected. Selecting it would restore it to its full size. As predicted, humans shifted their risk preferences in the diminishing options phase, choosing to click on both icons more equally in order to keep both options available. At the group level, capuchin monkeys showed this pattern as well, but there was a great deal of individual variability in both capuchins and macaques. The present work suggests that there is some degree of continuity between human and nonhuman primates in the desire to have choice simply for the sake of having choice.

  3. Modeling human behavior in economics and social science.

    Science.gov (United States)

    Dolfin, M; Leonida, L; Outada, N

    2017-12-01

    The complex interactions between human behaviors and social economic sciences is critically analyzed in this paper in view of possible applications of mathematical modeling as an attainable interdisciplinary approach to understand and simulate the aforementioned dynamics. The quest is developed along three steps: Firstly an overall analysis of social and economic sciences indicates the main requirements that a contribution of mathematical modeling should bring to these sciences; subsequently the focus moves to an overview of mathematical tools and to the selection of those which appear, according to the authors bias, appropriate to the modeling; finally, a survey of applications is presented looking ahead to research perspectives. Copyright © 2017 Elsevier B.V. All rights reserved.

  4. Understanding the Human Genome Project — A Fact Sheet | NIH MedlinePlus the Magazine

    Science.gov (United States)

    ... turn Javascript on. Feature: Genetics 101 Understanding the Human Genome Project — A Fact Sheet Past Issues / Summer 2013 ... body. This concerted, public effort was the Human Genome Project. The Human Genome Project's goal was to provide researchers with ...

  5. Human Behavioral Contributions to Climate Change: Psychological and Contextual Drivers

    Science.gov (United States)

    Swim, Janet K.; Clayton, Susan; Howard, George S.

    2011-01-01

    We are facing rapid changes in the global climate, and these changes are attributable to human behavior. Humans produce this global impact through our use of natural resources, multiplied by the vast increase in population seen in the past 50 to 100 years. Our goal in this article is to examine the underlying psychosocial causes of human impact,…

  6. Human enhancement and communication: on meaning and shared understanding.

    Science.gov (United States)

    Cabrera, Laura; Weckert, John

    2013-09-01

    Our technologies have enabled us to change both the world and our perceptions of the world, as well as to change ourselves and to find new ways to fulfil the human desire for improvement and for having new capacities. The debate around using technology for human enhancement has already raised many ethical concerns, however little research has been done in how human enhancement can affect human communication. The purpose of this paper is to explore whether some human enhancements could change our shared lifeworld so radically that human communication as we know it would not be possible any longer. After exploring the kinds of communication problems we are concerned with as well as mentioning some possible enhancement interventions that could bring about such problems, we will address some of the ethical implications that follow from these potential communication problems. We argue that because of the role that communication plays in human society, this issue deserves attention.

  7. Internal consistency of the Human Behavior Rating Scale.

    Science.gov (United States)

    Woods-Groves, Suzanne; Eaves, Ronald C; Williams, Thomas O

    2009-12-01

    The internal consistency of the Human Behavior Rating Scale (HBRS) was investigated. The 91-item Likert-type scale is designed to measure five dimensions: persistence, curiosity, externalizing affect, internalizing affect, and cognition. It is used as a research tool to investigate the tenets of Eaves' 1993 integrated theory of human behavior. Three separate sampling plans were employed. Teachers and nonteachers completed Human Behavior Rating Scale ratings of children ranging in age from 5 to 18 years old. Cronbach coefficients alpha were reported by sex, grade, or age for the three samples. Of the 185 reported alpha coefficients, 175 were at or above .90, while 10 had values between .80 and .89.

  8. First contacts and the common behavior of human beings

    OpenAIRE

    Van Brakel, Jaap

    2005-01-01

    In this paper my aim is to shed light on the common behavior of human beings by looking at '' first contacts '': the situation where people with unshared histories first meet (who don't speak one an others' language, don't have access to interpreters, etc.). The limits of the human life form are given by what is similar in the common behavior(s) of human beings. But what is similar should not be understood as something that is biologically or psychologically or transcendentally shared by all ...

  9. Understanding multiple levels of norms about teen pregnancy and their relationships to teens’ sexual behaviors

    OpenAIRE

    Mollborn, Stefanie; Domingue, Benjamin W.; Boardman, Jason D.

    2014-01-01

    Researchers seeking to understand teen sexual behaviors often turn to age norms, but they are difficult to measure quantitatively. Previous work has usually inferred norms from behavioral patterns or measured group-level norms at the individual level, ignoring multiple reference groups. Capitalizing on the multilevel design of the Add Health survey, we measure teen pregnancy norms perceived by teenagers, as well as average norms at the school and peer network levels. School norms predict boys...

  10. The Crucible simulation: Behavioral simulation improves clinical leadership skills and understanding of complex health policy change.

    Science.gov (United States)

    Cohen, Daniel; Vlaev, Ivo; McMahon, Laurie; Harvey, Sarah; Mitchell, Andy; Borovoi, Leah; Darzi, Ara

    2017-05-11

    The Health and Social Care Act 2012 represents the most complex National Health Service reforms in history. High-quality clinical leadership is important for successful implementation of health service reform. However, little is known about the effectiveness of current leadership training. This study describes the use of a behavioral simulation to improve the knowledge and leadership of a cohort of medical doctors expected to take leadership roles in the National Health Service. A day-long behavioral simulation (The Crucible) was developed and run based on a fictitious but realistic health economy. Participants completed pre- and postsimulation questionnaires generating qualitative and quantitative data. Leadership skills, knowledge, and behavior change processes described by the "theory of planned behavior" were self-assessed pre- and postsimulation. Sixty-nine medical doctors attended. Participants deemed the simulation immersive and relevant. Significant improvements were shown in perceived knowledge, capability, attitudes, subjective norms, intentions, and leadership competency following the program. Nearly one third of participants reported that they had implemented knowledge and skills from the simulation into practice within 4 weeks. This study systematically demonstrates the effectiveness of behavioral simulation for clinical management training and understanding of health policy reform. Potential future uses and strategies for analysis are discussed. High-quality care requires understanding of health systems and strong leadership. Policymakers should consider the use of behavioral simulation to improve understanding of health service reform and development of leadership skills in clinicians, who readily adopt skills from simulation into everyday practice.

  11. Modeling and simulating human teamwork behaviors using intelligent agents

    Science.gov (United States)

    Fan, Xiaocong; Yen, John

    2004-12-01

    Among researchers in multi-agent systems there has been growing interest in using intelligent agents to model and simulate human teamwork behaviors. Teamwork modeling is important for training humans in gaining collaborative skills, for supporting humans in making critical decisions by proactively gathering, fusing, and sharing information, and for building coherent teams with both humans and agents working effectively on intelligence-intensive problems. Teamwork modeling is also challenging because the research has spanned diverse disciplines from business management to cognitive science, human discourse, and distributed artificial intelligence. This article presents an extensive, but not exhaustive, list of work in the field, where the taxonomy is organized along two main dimensions: team social structure and social behaviors. Along the dimension of social structure, we consider agent-only teams and mixed human-agent teams. Along the dimension of social behaviors, we consider collaborative behaviors, communicative behaviors, helping behaviors, and the underpinning of effective teamwork-shared mental models. The contribution of this article is that it presents an organizational framework for analyzing a variety of teamwork simulation systems and for further studying simulated teamwork behaviors.

  12. Understanding Women\\'s Economic And Social Human Rights ...

    African Journals Online (AJOL)

    This article considers the evolution of women\\'s rights in international human rights law. It then moves on to consider the gender dimension of economic, social and cultural rights before examining constraints to their enjoyment and enforcement. East African Journal of Peace and Human Rights Vol. 12 (2) 2006: pp. 232-253 ...

  13. High School Students' Understanding of the Human Body System

    Science.gov (United States)

    Assaraf, Orit Ben-Zvi; Dodick, Jeff; Tripto, Jaklin

    2013-01-01

    In this study, 120 tenth-grade students from 8 schools were examined to determine the extent of their ability to perceive the human body as a system after completing the first stage in their biology curriculum--"The human body, emphasizing homeostasis". The students' systems thinking was analyzed according to the STH thinking model, which roughly…

  14. Science and Human Behavior, dualism, and conceptual modification.

    Science.gov (United States)

    Zuriff, G E

    2003-11-01

    Skinner's Science and Human Behavior is in part an attempt to solve psychology's problem with mind-body dualism by revising our everyday mentalistic conceptual scheme. In the case of descriptive mentalism (the use of mentalistic terms to describe behavior), Skinner offers behavioral "translations." In contrast, Skinner rejects explanatory mentalism (the use of mental concepts to explain behavior) and suggests how to replace it with a behaviorist explanatory framework. For experiential mentalism, Skinner presents a theory of verbal behavior that integrates the use of mentalistic language in first-person reports of phenomenal experience into a scientific framework.

  15. Causality vs. Plausibility: Alternative Stances for Inquiry into Human Behavior. Draft.

    Science.gov (United States)

    Guba, Egon G.; Lincoln, Yvonna S.

    Arguing that the concept of causality in human experience is archaic, unnecessary, and misleading, particularly in the social/behavioral sciences, a new plausibility approach is proposed for understanding relationships among entities. The epistemological history of causality includes positivist, deductive-nomological, essentialist, activity or…

  16. A Visual Analytics Approach for Detecting and Understanding Anomalous Resident Behaviors in Smart Healthcare

    Directory of Open Access Journals (Sweden)

    Zhifang Liao

    2017-03-01

    Full Text Available With the development of science and technology, it is possible to analyze residents’ daily behaviors for the purpose of smart healthcare in the smart home environment. Many researchers have begun to detect residents’ anomalous behaviors and assess their physical condition, but these approaches used by the researchers are often caught in plight caused by a lack of ground truth, one-sided analysis of behavior, and difficulty of understanding behaviors. In this paper, we put forward a smart home visual analysis system (SHVis to help analysts detect and comprehend unusual behaviors of residents, and predict the health information intelligently. Firstly, the system classifies daily activities recorded by sensor devices in smart home environment into different categories, and discovers unusual behavior patterns of residents living in this environment by using various characteristics extracted from those activities and appropriate unsupervised anomaly detection algorithm. Secondly, on the basis of figuring out the residents’ anomaly degree of every date, we explore the daily behavior patterns and details with the help of several visualization views, and compare and analyze residents’ activities of various dates to find the reasons why residents act unusually. In the case study of this paper, we analyze residents’ behaviors that happened over two months and find unusual indoor behaviors and give health advice to the residents.

  17. Meta-Analysis of the Reasoned Action Approach (RAA) to Understanding Health Behaviors.

    Science.gov (United States)

    McEachan, Rosemary; Taylor, Natalie; Harrison, Reema; Lawton, Rebecca; Gardner, Peter; Conner, Mark

    2016-08-01

    Reasoned action approach (RAA) includes subcomponents of attitude (experiential/instrumental), perceived norm (injunctive/descriptive), and perceived behavioral control (capacity/autonomy) to predict intention and behavior. To provide a meta-analysis of the RAA for health behaviors focusing on comparing the pairs of RAA subcomponents and differences between health protection and health-risk behaviors. The present research reports a meta-analysis of correlational tests of RAA subcomponents, examination of moderators, and combined effects of subcomponents on intention and behavior. Regressions were used to predict intention and behavior based on data from studies measuring all variables. Capacity and experiential attitude had large, and other constructs had small-medium-sized correlations with intention; all constructs except autonomy were significant independent predictors of intention in regressions. Intention, capacity, and experiential attitude had medium-large, and other constructs had small-medium-sized correlations with behavior; intention, capacity, experiential attitude, and descriptive norm were significant independent predictors of behavior in regressions. The RAA subcomponents have utility in predicting and understanding health behaviors.

  18. Behavioral effects of bidirectional selection for behavior towards human in virgin and lactate Norway rats.

    Science.gov (United States)

    Konoshenko, Maria Yu; Plyusnina, Irina Z

    2012-06-01

    Although numerous studies have demonstrated strong differences in behavioral, hormonal and neurobiological characteristics between male rats selected for elimination (tame) and enhancement (aggressive) of aggressiveness towards humans, few studies have examined changes in female behavior under this selection. The objective of the current work was to evaluate the effects of bidirectional selection for aggressiveness towards humans on behavioral profiles of virgin and lactating rats compared with the behavior in tame, aggressive and unselected (wild-type) females. The behavior of virgin females was studied using the light-dark box, the startle response test and the modified glove test. Tame females were less anxious and more tolerant towards humans than unselected and aggressive rats. Principal component analysis of all behavioral parameters produced three independent factors, explaining 66.37% of the total variability. The measures of behavior towards humans and the measures of anxiety mainly loaded on PC1 (first principal component) which separated the tame females from the unselected and aggressive ones. These data suggest the genetic correlation between the selected behavior towards humans and anxiety-related behavior in virgin rats. No significant effect of line was found for PC2 scores, associated with risk assessment behavior. Measurements of freezing behavior mainly loaded on PC3, and this component separated rats of different genetic groups from each other. The behavior of lactating rats was studied in maternal defense and pup retrieval tests. Females of selected lines did not significantly differ in behavioral measurements of these tests and were characterized by higher maternal motivation than unselected rats. It is suggested that long-term breeding of tame and aggressive rats in captivity has reduced the threshold for maternal behavior. Copyright © 2012 Elsevier B.V. All rights reserved.

  19. Understanding implications of consumer behavior for wildlife farming and sustainable wildlife trade.

    Science.gov (United States)

    Nuno, A; Blumenthal, J M; Austin, T J; Bothwell, J; Ebanks-Petrie, G; Godley, B J; Broderick, A C

    2018-04-01

    Unsustainable wildlife trade affects biodiversity and the livelihoods of communities dependent upon those resources. Wildlife farming has been proposed to promote sustainable trade, but characterizing markets and understanding consumer behavior remain neglected but essential steps in the design and evaluation of such operations. We used sea turtle trade in the Cayman Islands, where turtles have been farm raised for human consumption for almost 50 years, as a case study to explore consumer preferences toward wild-sourced (illegal) and farmed (legal) products and potential conservation implications. Combining methods innovatively (including indirect questioning and choice experiments), we conducted a nationwide trade assessment through in-person interviews from September to December 2014. Households were randomly selected using disproportionate stratified sampling, and responses were weighted based on district population size. We approached 597 individuals, of which 37 (6.2%) refused to participate. Although 30% of households had consumed turtle in the previous 12 months, the purchase and consumption of wild products was rare (e.g., 64-742 resident households consumed wild turtle meat [i.e., 0.3-3.5% of households] but represented a large threat to wild turtles in the area due to their reduced populations). Differences among groups of consumers were marked, as identified through choice experiments, and price and source of product played important roles in their decisions. Despite the long-term practice of farming turtles, 13.5% of consumers showed a strong preference for wild products, which demonstrates the limitations of wildlife farming as a single tool for sustainable wildlife trade. By using a combination of indirect questioning, choice experiments, and sales data to investigate demand for wildlife products, we obtained insights about consumer behavior that can be used to develop conservation-demand-focused initiatives. Lack of data from long-term social

  20. Data Mining and Visualization of Large Human Behavior Data Sets

    DEFF Research Database (Denmark)

    Cuttone, Andrea

    Traditional methods for studying human behavior such as surveys and manual collection are expensive, time-consuming and therefore cannot be easily applied at large scale. In recent years an explosive amount of digital traces of human activity – for example social network interactions, emails...... and credit card transactions – have provided us new sources for studying our behavior. In particular smartphones have emerged as new tools for collecting data about human activity, thanks to their sensing capabilities and their ubiquity. This thesis investigates the question of what we can learn about human...

  1. Scavenging behavior of Lynx rufus on human remains during the winter months of Southeast Texas.

    Science.gov (United States)

    Rippley, Angela; Larison, Nicole C; Moss, Kathryn E; Kelly, Jeffrey D; Bytheway, Joan A

    2012-05-01

    Animal-scavenging alterations on human remains can be mistaken as human criminal activity. A 32-day study, documenting animal scavenging on a human cadaver, was conducted at the Southeast Texas Applied Forensic Science facility, Sam Houston State University, Huntsville, Texas. A Stealth Cam Rogue IR was positioned near the cadaver to capture scavenging activity. An atypical scavenger, the bobcat, Lynx rufus, was recorded feeding on the cadaver. Scavenging by bobcats on human remains is not a predominant behavior and has minimal documentation. Scavenging behaviors and destruction of body tissues were analyzed. Results show that the bobcat did not feed on areas of the body that it does for other large animal carcasses. Results also show the bobcat feeds similarly during peak and nonpeak hours. Understanding the destruction of human tissue and covering of the body with leaf debris may aid forensic anthropologists and pathologists in differentiating between nefarious human activity and animal scavenging. © 2012 American Academy of Forensic Sciences.

  2. Discrete time modelization of human pilot behavior

    Science.gov (United States)

    Cavalli, D.; Soulatges, D.

    1975-01-01

    This modelization starts from the following hypotheses: pilot's behavior is a time discrete process, he can perform only one task at a time and his operating mode depends on the considered flight subphase. Pilot's behavior was observed using an electro oculometer and a simulator cockpit. A FORTRAN program has been elaborated using two strategies. The first one is a Markovian process in which the successive instrument readings are governed by a matrix of conditional probabilities. In the second one, strategy is an heuristic process and the concepts of mental load and performance are described. The results of the two aspects have been compared with simulation data.

  3. Do polymorphisms in chemosensory genes matter for human ingestive behavior?

    Science.gov (United States)

    Hayes, John E; Feeney, Emma L; Allen, Alissa L

    2013-12-01

    In the last decade, basic research in chemoreceptor genetics and neurobiology have revolutionized our understanding of individual differences in chemosensation. From an evolutionary perspective, chemosensory variations appear to have arisen in response to different living environments, generally in the avoidance of toxins and to better detect vital food sources. Today, it is often assumed that these differences may drive variable food preferences and choices, with downstream effects on health and wellness. A growing body of evidence indicates chemosensory variation is far more complex than previously believed. However, just because a genetic polymorphism results in altered receptor function in cultured cells or even behavioral phenotypes in the laboratory, this variation may not be sufficient to influence food choice in free living humans. Still, there is ample evidence to indicate allelic variation in TAS2R38 predicts variation in bitterness of synthetic pharmaceuticals (e.g., propylthiouracil) and natural plant compounds (e.g., goitrin), and this variation associates with differential intake of alcohol and vegetables. Further, this is only one of 25 unique bitter taste genes ( TAS2Rs ) in humans, and emerging evidence suggests other TAS2Rs may also contain polymorphisms that a functional with respect to ingestive behavior. For example, TAS2R16 polymorphisms are linked to the bitterness of naturally occurring plant compounds and alcoholic beverage intake, a TAS2R19 polymorphism predicts differences in quinine bitterness and grapefruit bitterness and liking, and TAS2R31 polymorphisms associate with differential bitterness of plant compounds like aristolochic acid and the sulfonyl amide sweeteners saccharin and acesulfame-K. More critically with respect to food choices, these polymorphisms may vary independently from each other within and across individuals, meaning a monolithic one-size-fits-all approach to bitterness needs to be abandoned. Nor are genetic

  4. The active role played by human learners is key to understanding the efficacy of teaching in humans.

    Science.gov (United States)

    Ronfard, Samuel; Harris, Paul L

    2015-01-01

    The early developing capacity of human learners to seek out reliable informants, initiate pedagogical episodes, and monitor and redirect ongoing instruction is critical to understanding humans' remarkable capacity for cumulative culture.

  5. Facing History and Ourselves: Holocaust and Human Behavior.

    Science.gov (United States)

    Strom, Margot Stern; Parsons, William S.

    This unit for junior and senior high school students presents techniques and materials for studying about the holocaust of World War II. Emphasis in the guide is on human behavior and the role of the individual within society. Among the guide's 18 objectives are for students to examine society's influence on individual behavior, place Hitler's…

  6. Towards an understanding of British public attitudes concerning human cloning.

    OpenAIRE

    Shepherd, Richard; Barnett, Julie; Cooper, Helen; Coyle, Adrian; Moran-Ellis, Jo; Senior, Victoria; Walton, Chris

    2007-01-01

    This is a post-print version. The official published version can be accessed from the link below - Copyright @ 2007 Elsevier Ltd. The ability of scientists to apply cloning technology to humans has provoked public discussion and media coverage. The present paper reports on a series of studies examining public attitudes to human cloning in the UK, bringing together a range of quantitative and qualitative methods to address this question. These included a nationally representative survey, an...

  7. Human Nonverbal Behaviors, Empathy, and Film.

    Science.gov (United States)

    Wiggers, T. Thorne

    Nonverbal behavior is an important aspect of the film and is one of the several tools that a director uses to communicate to an audience the characters' feelings and relationships. By adding to this information their own personal responses, viewers often experience strong feelings. With reference to the social psychological research of nonverbal…

  8. Viscoelastic behavior of discrete human collagen fibrils

    DEFF Research Database (Denmark)

    Svensson, Rene; Hassenkam, Tue; P, Hansen

    2010-01-01

    on the strain. The slope of the viscous response showed a strain rate dependence corresponding to a power function of powers 0.242 and 0.168 for the two patellar tendon fibrils, respectively. In conclusion, the present work provides direct evidence of viscoelastic behavior at the single fibril level, which has...

  9. Understanding Knowledge Sharing Behavior: An Examination of the Extended Model of Theory of Planned Behavior

    Directory of Open Access Journals (Sweden)

    Sabrina O. Sihombing

    2011-03-01

    Full Text Available Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Knowledge is recognized as one valuable asset for many organizations. Thus, knowledge-sharing is one of important activities in many organizations, including university. Knowledge sharing is defined as activities of transferring or disseminating organizationally relevant information, ideas, suggestions, and expertise with one another. This research applied Christian values as a moderating variable in the framework of theory of planned behavior. The aims of this research to assess applicability of the theory of planned behavior to predict knowledge sharing and to examine the effects of Christian values in the relationship between attitude and intention to share knowledge. A self-administered questionnaire was used to collect the data for this study. The data was then analyzed using structural equation modeling. /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

  10. Bridging Models and Business: Understanding heterogeneity in hidden drivers of customer purchase behavior

    NARCIS (Netherlands)

    E. Korkmaz (Evsen)

    2014-01-01

    markdownabstract__Abstract__ Recent years have seen many advances in quantitative models in the marketing literature. Even though these advances enable model building for a better understanding of customer purchase behavior and customer heterogeneity such that firms develop optimal targeting and

  11. An Integrative Model for Understanding Team Organizational Citizenship Behavior: Its Antecedents and Consequences for Educational Teams

    Science.gov (United States)

    Somech, Anit; Khotaba, Soha

    2017-01-01

    Purpose: The purpose of this paper is to use a model to broaden the understanding of the organizational citizenship behavior (OCB) phenomenon in educational teams and examines team OCB's mediating role in the relation of the contextual variables of team justice climate (distributive justice, procedural justice, interpersonal justice) to team…

  12. Understanding multiple levels of norms about teen pregnancy and their relationships to teens’ sexual behaviors

    Science.gov (United States)

    Mollborn, Stefanie; Domingue, Benjamin W.; Boardman, Jason D.

    2014-01-01

    Researchers seeking to understand teen sexual behaviors often turn to age norms, but they are difficult to measure quantitatively. Previous work has usually inferred norms from behavioral patterns or measured group-level norms at the individual level, ignoring multiple reference groups. Capitalizing on the multilevel design of the Add Health survey, we measure teen pregnancy norms perceived by teenagers, as well as average norms at the school and peer network levels. School norms predict boys’ perceived norms, while peer network norms predict girls’ perceived norms. Peer network and individually perceived norms against teen pregnancy independently and negatively predict teens’ likelihood of sexual intercourse. Perceived norms against pregnancy predict increased likelihood of contraception among sexually experienced girls, but sexually experienced boys’ contraceptive behavior is more complicated: When both the boy and his peers or school have stronger norms against teen pregnancy he is more likely to contracept, and in the absence of school or peer norms against pregnancy, boys who are embarrassed are less likely to contracept. We conclude that: (1) patterns of behavior cannot adequately operationalize teen pregnancy norms, (2) norms are not simply linked to behaviors through individual perceptions, and (3) norms at different levels can operate independently of each other, interactively, or in opposition. This evidence creates space for conceptualizations of agency, conflict, and change that can lead to progress in understanding age norms and sexual behaviors. PMID:25104920

  13. Understanding multiple levels of norms about teen pregnancy and their relationships to teens' sexual behaviors.

    Science.gov (United States)

    Mollborn, Stefanie; Domingue, Benjamin W; Boardman, Jason D

    2014-06-01

    Researchers seeking to understand teen sexual behaviors often turn to age norms, but they are difficult to measure quantitatively. Previous work has usually inferred norms from behavioral patterns or measured group-level norms at the individual level, ignoring multiple reference groups. Capitalizing on the multilevel design of the Add Health survey, we measure teen pregnancy norms perceived by teenagers, as well as average norms at the school and peer network levels. School norms predict boys' perceived norms, while peer network norms predict girls' perceived norms. Peer network and individually perceived norms against teen pregnancy independently and negatively predict teens' likelihood of sexual intercourse. Perceived norms against pregnancy predict increased likelihood of contraception among sexually experienced girls, but sexually experienced boys' contraceptive behavior is more complicated: When both the boy and his peers or school have stronger norms against teen pregnancy he is more likely to contracept, and in the absence of school or peer norms against pregnancy, boys who are embarrassed are less likely to contracept. We conclude that: (1) patterns of behavior cannot adequately operationalize teen pregnancy norms, (2) norms are not simply linked to behaviors through individual perceptions, and (3) norms at different levels can operate independently of each other, interactively, or in opposition. This evidence creates space for conceptualizations of agency, conflict, and change that can lead to progress in understanding age norms and sexual behaviors.

  14. From Human Activity to Conceptual Understanding of the Chain Rule

    Science.gov (United States)

    Jojo, Zingiswa Mybert Monica; Maharaj, Aneshkumar; Brijlall, Deonarain

    2013-01-01

    This article reports on a study which investigated first year university engineering students' construction of the definition of the concept of the chain rule in differential calculus at a University of Technology in South Africa. An APOS (Action-Process-Objects-Schema) approach was used to explore conceptual understanding displayed by students in…

  15. A Formal Investigation of the Organization of Guidance Behavior: Implications for Humans and Autonomous Guidance

    Science.gov (United States)

    Kong, Zhaodan

    Guidance behavior generated either by artificial agents or humans has been actively studied in the fields of both robotics and cognitive science. The goals of these two fields are different. The former is the automatic generation of appropriate or even optimal behavior, while the latter is the understanding of the underlying mechanism. Their challenges, though, are closely related, the most important one being the lack of a unified, formal and grounded framework where the guidance behavior can be modeled and studied. This dissertation presents such a framework. In this framework, guidance behavior is analyzed as the closed-loop dynamics of the whole agent-environment system. The resulting dynamics give rise to interaction patterns. The central points of this dissertation are that: first of all, these patterns, which can be explained in terms of symmetries that are inherent to the guidance behavior, provide building blocks for the organization of behavior; second, the existence of these patterns and humans' organization of their guidance behavior based on these patterns are the reasons that humans can generate successful behavior in spite of all the complexities involved in the planning and control. This dissertation first gives an overview of the challenges existing in both scientific endeavors, such as human and animal spatial behavior study, and engineering endeavors, such as autonomous guidance system design. It then lays out the foundation for our formal framework, which states that guidance behavior should be interpreted as the collection of the closed-loop dynamics resulting from the agent's interaction with the environment. The following, illustrated by examples of three different UAVs, shows that the study of the closed-loop dynamics should not be done without the consideration of vehicle dynamics, as is the common practice in some of the studies in both autonomous guidance and human behavior analysis. The framework, the core concepts of which are

  16. Human Performance Models of Pilot Behavior

    Science.gov (United States)

    Foyle, David C.; Hooey, Becky L.; Byrne, Michael D.; Deutsch, Stephen; Lebiere, Christian; Leiden, Ken; Wickens, Christopher D.; Corker, Kevin M.

    2005-01-01

    Five modeling teams from industry and academia were chosen by the NASA Aviation Safety and Security Program to develop human performance models (HPM) of pilots performing taxi operations and runway instrument approaches with and without advanced displays. One representative from each team will serve as a panelist to discuss their team s model architecture, augmentations and advancements to HPMs, and aviation-safety related lessons learned. Panelists will discuss how modeling results are influenced by a model s architecture and structure, the role of the external environment, specific modeling advances and future directions and challenges for human performance modeling in aviation.

  17. Facebook tells me so: applying the theory of planned behavior to understand partner-monitoring behavior on Facebook.

    Science.gov (United States)

    Darvell, Millie J; Walsh, Shari P; White, Katherine M

    2011-12-01

    The social networking site (SNS) Facebook is becoming increasingly recognized as a medium through which individuals can investigate and monitor others' activities. However, little is known about whether Facebook monitoring behavior occurs within romantic relationships and, accordingly, the psychological predictors of this behavior. The present study employed an extended theory of planned behavior (TPB) framework including self-esteem, partner trust, and demographic characteristics, to predict frequent Facebook partner-monitoring. Facebook users (N=244) in romantic relationships completed measures assessing the standard TPB constructs (attitude, subjective norm, and perceived behavioral control), additional predictor variables (self-esteem and partner trust), and demographic characteristics (age, gender, relationship length, daily Facebook logins, and time spent per login). One week later, participants reported their level of Facebook partner-monitoring during the previous week. Regression analyses supported the standard TPB constructs of attitude and subjective norm in predicting intentions to engage in frequent Facebook partner-monitoring, with intention, in turn, predicting behavior. Partner trust, but not self-esteem, significantly predicted frequent Facebook partner-monitoring intentions. Of the demographic characteristics, daily Facebook logins significantly predicted both intention and behavior and, unexpectedly, relationship length directly affected behavior. Overall, the current study revealed that frequent Facebook partner-monitoring is influenced by attitudinal, normative, and relational factors and, potentially, increased visits to Facebook. These findings provide a new understanding of an individual's use of the world's leading SNS to monitor their partner's activities and provide a foundation for future studies to investigate the potential negative implications this activity may have for those in romantic relationships.

  18. Understanding Human Impact: Second Graders Explore Watershed Dynamics

    Science.gov (United States)

    Magruder, Robin; Rosenauer, Julia

    2016-01-01

    This article describes a second grade science enrichment unit with a focus on human impact, both positive and negative, on the living and nonliving components of the local watershed. Investigating the local watershed gave the unit a personal and pragmatic connection to students' lives because they depend on the local watershed for what they need…

  19. Understanding the Human Volcano: What Teens Can Do about Violence.

    Science.gov (United States)

    Hipp, Earl

    Anger and violence among children has moved from the streets to the schools, with tragic, and well-documented, results. This book addresses anger and violence among children and is, in essence, an anger-management course for teens, written at about an eighth-grade level. Part 1, "The Problems of Violence in Our World," explores human violence. It…

  20. A Visual Analytic for Improving Human Terrain Understanding

    Science.gov (United States)

    2013-06-01

    Global Graph was used that consisted of a PostgreSQL database and associated web services for searching and updating the database. A REST...and allow human interpretation. HDPT Component Overview PostgreSQL DBS Apache Tomcat Web Server [’...... _./ Globa l Graph Web ~ Application

  1. Understanding in the humanities: Gadamer's thought at the ...

    African Journals Online (AJOL)

    Because Gadamer is very sensitive to the role of history, tradition and authority within human life, the overall intention of this article will be to unveil major elements of modern philosophy which exerted an influence upon his thought. In this sense it can be seen as applying his notion of 'Wirkungsgeschichte' to an assessment ...

  2. Measuring and Understanding Public Opinion on Human Evolution

    Science.gov (United States)

    Gwon, Misook

    2012-01-01

    The theory of evolution has long generated controversy in American society, but Americans' attitudes about human evolution are often neglected in studies of "culture wars" and the nature of mass belief systems more generally (Berkman and Plutzer 2010; Freeland and Houston 2009). Gallup and other survey organizations have polled…

  3. Understanding Arts and Humanities Students' Experiences of Assessment and Feedback

    Science.gov (United States)

    Adams, Joelle; McNab, Nicole

    2013-01-01

    This article examines how undergraduate students on arts and humanities courses experience assessment and feedback. The research uses a detailed audit, a specially devised questionnaire (the Assessment Experience Questionnaire), and student focus group data, and the article examines results from 19 programmes, comparing those from "arts and…

  4. Socially intelligent robots that understand and respond to human touch

    NARCIS (Netherlands)

    Jung, Merel Madeleine

    Touch is an important nonverbal form of interpersonal interaction which is used to communicate emotions and other social messages. As interactions with social robots are likely to become more common in the near future these robots should also be able to engage in tactile interaction with humans.

  5. Where to look? Automating attending behaviors of virtual human characters

    Science.gov (United States)

    Chopra Khullar, S.; Badler, N. I.

    2001-01-01

    This research proposes a computational framework for generating visual attending behavior in an embodied simulated human agent. Such behaviors directly control eye and head motions, and guide other actions such as locomotion and reach. The implementation of these concepts, referred to as the AVA, draws on empirical and qualitative observations known from psychology, human factors and computer vision. Deliberate behaviors, the analogs of scanpaths in visual psychology, compete with involuntary attention capture and lapses into idling or free viewing. Insights provided by implementing this framework are: a defined set of parameters that impact the observable effects of attention, a defined vocabulary of looking behaviors for certain motor and cognitive activity, a defined hierarchy of three levels of eye behavior (endogenous, exogenous and idling) and a proposed method of how these types interact.

  6. Carisoprodol - Effects on Human Performance and Behavior.

    Science.gov (United States)

    Robertson, M M; Marinetti, L J

    2003-01-01

    Carisoprodol, a commonly prescribed muscle relaxant, has adverse effects on human performance and is gaining recognition as a factor in driver impairment and accident causation. Carisoprodol is a centrally acting skeletal muscle relaxant indicated for the relief of musculoskeletal pain. Carisoprodol and its major metabolite meprobamate have central nervous system (CNS) sedating effects similar to benzodiazepines or alcohol. Following the ingestion of carisoprodol or meprobamate symptoms such as drowsiness, confusion, poor balance, and coordination are well documented in drivers, all of which are detrimental to human performance and driving ability. Although identified as a drug capable of producing decreased human performance, the full extent of carisoprodol and meprobamate's involvement in motor vehicle accidents and effect on driving skills may not be fully appreciated. This is due in part to the common co-administration of other CNS depressants, hypnotics, or narcotic drugs and the lack of routine testing for carisoprodol and meprobamate in the human performance toxicology laboratory. Copyright © 2003 Central Police University.

  7. A Behavioral Theory of Human Capital Integration

    DEFF Research Database (Denmark)

    Christensen, Jesper

    Human capital – the stock of knowledge and abilities possessed by employees – is consistently touted as an integral part of firm survival and success in dynamic environments. Managers must regularly decide how to allocate employees among competing tasks and projects to optimize the utilization of...

  8. The development of human behavior analysis techniques

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Jung Woon; Lee, Yong Hee; Park, Geun Ok; Cheon, Se Woo; Suh, Sang Moon; Oh, In Suk; Lee, Hyun Chul; Park, Jae Chang

    1997-07-01

    In this project, which is to study on man-machine interaction in Korean nuclear power plants, we developed SACOM (Simulation Analyzer with a Cognitive Operator Model), a tool for the assessment of task performance in the control rooms using software simulation, and also develop human error analysis and application techniques. SACOM was developed to assess operator`s physical workload, workload in information navigation at VDU workstations, and cognitive workload in procedural tasks. We developed trip analysis system including a procedure based on man-machine interaction analysis system including a procedure based on man-machine interaction analysis and a classification system. We analyzed a total of 277 trips occurred from 1978 to 1994 to produce trip summary information, and for 79 cases induced by human errors time-lined man-machine interactions. The INSTEC, a database system of our analysis results, was developed. The MARSTEC, a multimedia authoring and representation system for trip information, was also developed, and techniques for human error detection in human factors experiments were established. (author). 121 refs., 38 tabs., 52 figs.

  9. The multifactorial nature of human homosexual behavior: A brief review

    Directory of Open Access Journals (Sweden)

    Barona, Daniel

    2014-12-01

    Full Text Available Homosexual behavior has been analyzed as an evolutionary paradox in the biological context. In this review, we will try to compile the main genetic, epigenetic, hormonal, neurological and immune explanations of homosexuality, as well as the ultimate evolutionary causes of this complex behavior in the human being, incorporating information from studies in other animal species. All these factors determine the homosexual behavior, acting most of the times, simultaneously. Hereditary and non hereditary factors determine homosexual behavior, explaining its persistence despite its apparent disadvantages in relation to reproductive fitness.

  10. Comparison of Object Recognition Behavior in Human and Monkey.

    Science.gov (United States)

    Rajalingham, Rishi; Schmidt, Kailyn; DiCarlo, James J

    2015-09-02

    Although the rhesus monkey is used widely as an animal model of human visual processing, it is not known whether invariant visual object recognition behavior is quantitatively comparable across monkeys and humans. To address this question, we systematically compared the core object recognition behavior of two monkeys with that of human subjects. To test true object recognition behavior (rather than image matching), we generated several thousand naturalistic synthetic images of 24 basic-level objects with high variation in viewing parameters and image background. Monkeys were trained to perform binary object recognition tasks on a match-to-sample paradigm. Data from 605 human subjects performing the same tasks on Mechanical Turk were aggregated to characterize "pooled human" object recognition behavior, as well as 33 separate Mechanical Turk subjects to characterize individual human subject behavior. Our results show that monkeys learn each new object in a few days, after which they not only match mean human performance but show a pattern of object confusion that is highly correlated with pooled human confusion patterns and is statistically indistinguishable from individual human subjects. Importantly, this shared human and monkey pattern of 3D object confusion is not shared with low-level visual representations (pixels, V1+; models of the retina and primary visual cortex) but is shared with a state-of-the-art computer vision feature representation. Together, these results are consistent with the hypothesis that rhesus monkeys and humans share a common neural shape representation that directly supports object perception. To date, several mammalian species have shown promise as animal models for studying the neural mechanisms underlying high-level visual processing in humans. In light of this diversity, making tight comparisons between nonhuman and human primates is particularly critical in determining the best use of nonhuman primates to further the goal of the

  11. Understanding how discrete populations of hypothalamic neurons orchestrate complicated behavioral states

    Directory of Open Access Journals (Sweden)

    Allison eGraebner

    2015-08-01

    Full Text Available A major question in systems neuroscience is how a single population of neurons can interact with the rest of the brain to orchestrate complex behavioral states. The hypothalamus contains many such discrete neuronal populations that individually regulate arousal, feeding, and drinking. For example, hypothalamic neurons that express hypocretin (Hcrt neuropeptides can sense homeostatic and metabolic factors affecting wakefulness and orchestrate organismal arousal. Neurons that express agouti-related protein (AgRP can sense the metabolic needs of the body and orchestrate a state of hunger. The organum vasculosum of the lamina terminalis (OVLT can detect the hypertonicity of blood and orchestrate a state of thirst. Each hypothalamic population is sufficient to generate complicated behavioral states through the combined efforts of distinct efferent projections. The principal challenge to understanding these brain systems is therefore to determine the individual roles of each downstream projection for each behavioral state. In recent years, the development and application of temporally precise, genetically encoded tools have greatly improved our understanding of the structure and function of these neural systems. This review will survey recent advances in our understanding of how these individual hypothalamic populations can orchestrate complicated behavioral states due to the combined efforts of individual downstream projections.

  12. Understanding Complex Human Ecosystems: The Case of Ecotourism on Bonaire

    Directory of Open Access Journals (Sweden)

    Thomas Abel

    2003-12-01

    Full Text Available It is suggested that ecotourism development on the island of Bonaire can be productively understood as a perturbation of a complex human ecosystem. Inputs associated with ecotourism have fueled transformations of the island ecology and sociocultural system. The results of this study indicate that Bonaire's social and economic hierarchy is approaching a new, stable systems state following a 50-yr transition begun by government and industry that stabilized with the appearance of ecotourism development and population growth. Ecotourism can be understood to have "filled in" the middle of the production hierarchy of Bonaire. Interpreted from this perspective, population growth has completed the transformation by expanding into production niches at smaller scales in the production hierarchy. Both a consequence and a cause, ecotourism has transformed the island's social structure and demography. The theory and methods applied in this case study of interdisciplinary research in the field of human ecosystems are also presented.

  13. The Four Horsemen of the Apocalypse: Understanding Human Security

    OpenAIRE

    Inglehart, Ronald F.; Norris, Pippa

    2011-01-01

    Since the end of the Cold War, security studies have broadened to take into account a wide range of non-military threats ranging from poverty to environmental concerns rather than just national defense. Security scholars, backed by international organizations and a growing number of national governments, have developed the concept of Human Security, focusing on the welfare of ordinary people against a broad range of threats. This has aroused vigorous debate. Part I of this paper proposes an a...

  14. 3D Data Acquisition Platform for Human Activity Understanding

    Science.gov (United States)

    2016-03-02

    Enter List of papers submitted or published that acknowledge ARO support from the start of the project to the date of this printing . List the papers...SECURITY CLASSIFICATION OF: In this project, we incorporated motion capture devices, 3D vision sensors, and EMG sensors to cross validate...multimodality data acquisition, and address fundamental research problems of representation and invariant description of 3D data, human motion modeling and

  15. Human Heuristics: Understanding the Impacts for Pharmaceutical Quality Risk Management

    OpenAIRE

    Calnan, Nuala

    2011-01-01

    This paper addresses the influence of human heuristics (Biases) on the assessment of risk. A core principle underpinning effective Risk Management is the principle that Risk Management explicitly addresses uncertainty i.e., that it explicitly takes account of uncertainty, the nature of that uncertainty, and how it can be addressed. Heuristics are cognitive behaviours which come into play when we make judgements in the presence of uncertainty. How these behaviours are manifested is still the s...

  16. Human reliability: an evaluation of its understanding and prediction

    International Nuclear Information System (INIS)

    Joksimovich, V.

    1987-01-01

    This paper presents a viewpoint on the state-of-the-art in human reliability. The bases for this viewpoint are, by and large, research projects conducted by the NUS for the Electric Power Research Institute (EPRI) primarily with the objective of further enhancing the credibility of PRA methodology. The presentation is divided into the following key sections: Background and Overview, Methodology and Data Base with emphasis on the simulator data base

  17. Human wagering behavior depends on opponents' faces.

    Directory of Open Access Journals (Sweden)

    Erik J Schlicht

    Full Text Available Research in competitive games has exclusively focused on how opponent models are developed through previous outcomes and how peoples' decisions relate to normative predictions. Little is known about how rapid impressions of opponents operate and influence behavior in competitive economic situations, although such subjective impressions have been shown to influence cooperative decision-making. This study investigates whether an opponent's face influences players' wagering decisions in a zero-sum game with hidden information. Participants made risky choices in a simplified poker task while being presented opponents whose faces differentially correlated with subjective impressions of trust. Surprisingly, we find that threatening face information has little influence on wagering behavior, but faces relaying positive emotional characteristics impact peoples' decisions. Thus, people took significantly longer and made more mistakes against emotionally positive opponents. Differences in reaction times and percent correct were greatest around the optimal decision boundary, indicating that face information is predominantly used when making decisions during medium-value gambles. Mistakes against emotionally positive opponents resulted from increased folding rates, suggesting that participants may have believed that these opponents were betting with hands of greater value than other opponents. According to these results, the best "poker face" for bluffing may not be a neutral face, but rather a face that contains emotional correlates of trustworthiness. Moreover, it suggests that rapid impressions of an opponent play an important role in competitive games, especially when people have little or no experience with an opponent.

  18. Human Wagering Behavior Depends on Opponents' Faces

    Science.gov (United States)

    Schlicht, Erik J.; Shimojo, Shinsuke; Camerer, Colin F.; Battaglia, Peter; Nakayama, Ken

    2010-01-01

    Research in competitive games has exclusively focused on how opponent models are developed through previous outcomes and how peoples' decisions relate to normative predictions. Little is known about how rapid impressions of opponents operate and influence behavior in competitive economic situations, although such subjective impressions have been shown to influence cooperative decision-making. This study investigates whether an opponent's face influences players' wagering decisions in a zero-sum game with hidden information. Participants made risky choices in a simplified poker task while being presented opponents whose faces differentially correlated with subjective impressions of trust. Surprisingly, we find that threatening face information has little influence on wagering behavior, but faces relaying positive emotional characteristics impact peoples' decisions. Thus, people took significantly longer and made more mistakes against emotionally positive opponents. Differences in reaction times and percent correct were greatest around the optimal decision boundary, indicating that face information is predominantly used when making decisions during medium-value gambles. Mistakes against emotionally positive opponents resulted from increased folding rates, suggesting that participants may have believed that these opponents were betting with hands of greater value than other opponents. According to these results, the best “poker face” for bluffing may not be a neutral face, but rather a face that contains emotional correlates of trustworthiness. Moreover, it suggests that rapid impressions of an opponent play an important role in competitive games, especially when people have little or no experience with an opponent. PMID:20657772

  19. Do robots have goals? How agent cues influence action understanding in non-human primates.

    Science.gov (United States)

    Kupferberg, Aleksandra; Glasauer, Stefan; Burkart, Judith M

    2013-06-01

    The capacity to understand goals and intentions emerges early and universally in humans and is a basic precondition for the interpretation and prediction of others' actions, be it other humans, animals, or even robots. It is unclear, however, how this goal attribution system is acquired, in particular with regard to the role of prior experience with the actor and visual characteristics that are necessary. In four preferential looking time experiments we examined how familiarity, appearance, and movement of different agents influence the capability of marmosets to perceive the behavior of these agents as goal directed. To this end we compared the monkeys' reactions to the same goal-directed actions performed by four different agents: a human actor, a conspecific, a monkey-like small robot, and a black box. The results showed that monkeys attributed goals to the human actor, the conspecific, and the robot, but not the box. Thus, the monkeys extended their capacity for goal attribution not only to familiar agents, but also to agents not previously encountered, provided that they had some conspecific-like features. Our results suggest that in non-human primates, the system for goal attribution does not require previous experience with a specific agent or agent-category, as long as it exhibits certain visual characteristics like face, body or legs. Furthermore, the results suggest that the capacity to attribute goals emerged very early during evolution and, at least in marmoset monkeys, does not necessarily require pre-learned associations in order to fulfill its function when dealing with unfamiliar agents. Copyright © 2013 Elsevier B.V. All rights reserved.

  20. Understanding the Mechanisms behind Changing People’s Recycling Behavior at Work by Applying a Comprehensive Action Determination Model

    Directory of Open Access Journals (Sweden)

    Sunita Prugsamatz Ofstad

    2017-02-01

    Full Text Available This study moves toward a better understanding of the mechanisms behind changing people’s recycling behavior at work by mapping out which pathways and variables change in recycling behavior as triggered by interventions. A questionnaire was designed based on the theory of planned behaviour, the norm-activation model, habits, and a comprehensive action determination model (CADM. The data was collected in two rounds: before the intervention and after a three-month pilot period with implemented interventions using a sample of n = 1269 students and employees. The CADM model appears to be a good fit with the data. The results from the structural equation modelling indicate the pathways to influencing behavioural change. The most important psychological variables accounting for waste separation behaviour are intentions, perceived behavioural control, personal norms, social norms and habits. No difference in waste separation behaviour was observed in the control building. Interventions targeting the increase in waste separation raised participants’ intentions to engage in such behaviour. Results indicate that waste separation at work must go beyond technical aspects to include various key elements of sustainability to ensure success. Furthermore, understanding human behavior is key in determining the performance and success of an integrated and effective recycling intervention strategy.

  1. A Network Neuroscience of Human Learning: Potential to Inform Quantitative Theories of Brain and Behavior.

    Science.gov (United States)

    Bassett, Danielle S; Mattar, Marcelo G

    2017-04-01

    Humans adapt their behavior to their external environment in a process often facilitated by learning. Efforts to describe learning empirically can be complemented by quantitative theories that map changes in neurophysiology to changes in behavior. In this review we highlight recent advances in network science that offer a sets of tools and a general perspective that may be particularly useful in understanding types of learning that are supported by distributed neural circuits. We describe recent applications of these tools to neuroimaging data that provide unique insights into adaptive neural processes, the attainment of knowledge, and the acquisition of new skills, forming a network neuroscience of human learning. While promising, the tools have yet to be linked to the well-formulated models of behavior that are commonly utilized in cognitive psychology. We argue that continued progress will require the explicit marriage of network approaches to neuroimaging data and quantitative models of behavior. Copyright © 2017 Elsevier Ltd. All rights reserved.

  2. A Network Neuroscience of Human Learning: Potential To Inform Quantitative Theories of Brain and Behavior

    Science.gov (United States)

    Bassett, Danielle S.; Mattar, Marcelo G.

    2017-01-01

    Humans adapt their behavior to their external environment in a process often facilitated by learning. Efforts to describe learning empirically can be complemented by quantitative theories that map changes in neurophysiology to changes in behavior. In this review we highlight recent advances in network science that offer a sets of tools and a general perspective that may be particularly useful in understanding types of learning that are supported by distributed neural circuits. We describe recent applications of these tools to neuroimaging data that provide unique insights into adaptive neural processes, the attainment of knowledge, and the acquisition of new skills, forming a network neuroscience of human learning. While promising, the tools have yet to be linked to the well-formulated models of behavior that are commonly utilized in cognitive psychology. We argue that continued progress will require the explicit marriage of network approaches to neuroimaging data and quantitative models of behavior. PMID:28259554

  3. Understanding action control of parental support behavior for child physical activity.

    Science.gov (United States)

    Rhodes, Ryan E; Spence, John C; Berry, Tanya; Deshpande, Sameer; Faulkner, Guy; Latimer-Cheung, Amy E; O'Reilly, Norman; Tremblay, Mark S

    2016-02-01

    Parental support is the critical family-level variable linked to child physical activity (PA), yet the antecedents of support are poorly understood, and its relationship with intention is modest. The purpose of this study was to apply a framework designed to evaluate the intention-behavior gap, known as multiprocess action control (M-PAC), to understand parental support for regular child PA. Mothers (N = 1,253) with children 5-12 years of age completed measures of attitudes, perceived control over support, behavioral regulation tactics (e.g., planning, self-monitoring), and intention to support. Over half (58%) reported on subsequent support behaviors 6 months later. Three intention-behavior profiles emerged: (a) nonintenders (26.4%; n = 331), (b) unsuccessful intenders (36.6%; n = 458), and (c) successful intenders (33%; n = 414). Congruent with M-PAC, a discriminant function analysis showed that affective attitude about support (r = .18), perceived behavioral control over support (r = .55), and behavioral regulation (r = .55) distinguished between all 3 intention-behavior profiles. A disaggregated analysis of specific behavioral regulation tactics showed that most distinguished all 3 profiles, yet planning, information seeking, and monitoring were the critical correlates of the discriminant function. The majority of mothers had positive intentions to support regular child PA, yet over half failed to enact this support. Difficulty of intention translating into support behavior arises from compromised control over support, self-regulation skills, and perceptions that the support experience is unenjoyable. Interventions aimed at strengthening these factors are recommended to improve parental support action control. (c) 2016 APA, all rights reserved).

  4. Expanding the Understanding of Risk Behavior Associated With Homelessness Among Veterans.

    Science.gov (United States)

    Harris, Taylor; Kintzle, Sara; Wenzel, Suzanne; Castro, Carl Andrew

    2017-09-01

    To advance large-scale efforts to end veteran homelessness, an understanding of factors that contribute to housing insecurity is necessary. Common risk behaviors (e.g., substance use and risky sexual practices) are associated with lengthier experiences of homelessness among the general homeless population, but less understood among homeless veterans. Additionally, whether emerging risk behaviors among veterans (e.g., sensation seeking and aggression) are associated with lengthy homeless experiences is unknown. Data were drawn from a sample of Los Angeles County veterans surveyed using a mixed nonprobability sampling strategy, which included recruiting veterans via national and local veterans service organizations, college organizations, and social media campaigns. Measures aligning with factors of sensation seeking (reckless driving, gambling, suicidal ideation); substance use (alcohol misuse, tobacco use, driving while intoxicated); risky sexual practices (risking getting a sexually transmitted disease); and aggression (looking to start a fight) were tested in multivariate, multinomial logistic regression analyses to determine their association with varying lengths of homelessness in the past year (less than 1 month, 2-6 months, 6 months to 1 year). Risking getting a sexually transmitted disease, gambling, suicidal ideation, alcohol misuse, tobacco use, driving while intoxicated, and looking to start a fight were associated with 6 or more months of homelessness. Several indicators of risk were associated with brief periods of homelessness, including gambling and looking to start a fight. Although a clear exposure-response effect was not detected with risk behaviors, results suggested there may be some wavering of engagement in risk behaviors over time. Findings suggest sensation seeking and aggression risk behaviors should be included in risk assessments and prevention efforts along with substance use and risky sexual practices to reduce veterans' risk of becoming

  5. Modeling Human Behavior to Anticipate Insider Attacks

    Directory of Open Access Journals (Sweden)

    Ryan E Hohimer

    2011-01-01

    Full Text Available The insider threat ranks among the most pressing cyber-security challenges that threaten government and industry information infrastructures. To date, no systematic methods have been developed that provide a complete and effective approach to prevent data leakage, espionage, and sabotage. Current practice is forensic in nature, relegating to the analyst the bulk of the responsibility to monitor, analyze, and correlate an overwhelming amount of data. We describe a predictive modeling framework that integrates a diverse set of data sources from the cyber domain, as well as inferred psychological/motivational factors that may underlie malicious insider exploits. This comprehensive threat assessment approach provides automated support for the detection of high-risk behavioral "triggers" to help focus the analyst's attention and inform the analysis. Designed to be domain-independent, the system may be applied to many different threat and warning analysis/sense-making problems.

  6. Towards an understanding of British public attitudes concerning human cloning.

    Science.gov (United States)

    Shepherd, Richard; Barnett, Julie; Cooper, Helen; Coyle, Adrian; Moran-Ellis, Jo; Senior, Victoria; Walton, Chris

    2007-07-01

    The ability of scientists to apply cloning technology to humans has provoked public discussion and media coverage. The present paper reports on a series of studies examining public attitudes to human cloning in the UK, bringing together a range of quantitative and qualitative methods to address this question. These included a nationally representative survey, an experimental vignette study, focus groups and analyses of media coverage. Overall the research presents a complex picture of attitude to and constructions of human cloning. In all of the analyses, therapeutic cloning was viewed more favourably than reproductive cloning. However, while participants in the focus groups were generally negative about both forms of cloning, and this was also reflected in the media analyses, quantitative results showed more positive responses. In the quantitative research, therapeutic cloning was generally accepted when the benefits of such procedures were clear, and although reproductive cloning was less accepted there was still substantial support. Participants in the focus groups only differentiated between therapeutic and reproductive cloning after the issue of therapeutic cloning was explicitly raised; initially they saw cloning as being reproductive cloning and saw no real benefits. Attitudes were shown to be associated with underlying values associated with scientific progress rather than with age, gender or education, and although there were a few differences in the quantitative data based on religious affiliation, these tended to be small effects. Likewise in the focus groups there was little direct appeal to religion, but the main themes were 'interfering with nature' and the 'status of the embryo', with the latter being used more effectively to try to close down further discussion. In general there was a close correspondence between the media analysis and focus group responses, possibly demonstrating the importance of media as a resource, or that the media reflect

  7. Understanding the Information Requirements of Arts and Humanities Scholarship

    Directory of Open Access Journals (Sweden)

    Agiatis Benardou

    2010-07-01

    Full Text Available This paper reports on research of scholarly research practices and requirements conducted in the context of the Preparing DARIAH European e-Infrastructures project, with a view to ensuring current and future fitness for purpose of the planned digital infrastructure, services and tools. It summarises the findings of earlier research, primarily from the field of human information behaviour as applied in scholarly work, it presents a conceptual perspective informed by cultural-historical activity theory, it introduces briefly a formal conceptual model for scholarly research activity compliant with CIDOC CRM, it describes the plan of work and methodology of an empirical research project based on open-questionnaire interviews with arts and humanities researchers, and presents illustrative examples of segmentation, tagging and initial conceptual analysis of the empirical evidence. Finally, it presents plans for future work, consisting, firstly, of a comprehensive re-analysis of interview segments within the framework of the scholarly research activity model, and, secondly, of the integration of this analysis with the extended digital curation process model we presented in earlier work.

  8. Can human movement analysis contribute to usability understanding?

    Science.gov (United States)

    Belda-Lois, Juan-Manuel; de-Rosario, Helios; Pons, Romà; Poveda, Rakel; Morón, Ana; Porcar, Rosa; García, Ana-Cruz; Gómez, Amelia

    2010-08-01

    Nowadays human-machine interfaces are evaluated using different methodologies. These methodologies rarely consider the human movements involved in the interaction, and if so, the movements are considered in a simplistic manner. Another often neglected aspect is the relationship between the learning process and the use of the interface. Traditional approaches of cognitive modeling consider learning as just one continuous process. However there is some current evidence of concurrent processes on different time scales. This paper aims to answer, with experimental measurements, if learning actually implies a set of concurrent processes, if those processes are related to the coordinative aspects of hand movement, and how this can vary between young adult and elderly users. Two different interfaces, a washing machine and a domotic system, were analyzed with 23 and 20 people, respectively, classified as men or women and elderly (over 55) or adult (between 40 and 50). The results of the study provide support for the existence of different concurrent processes in learning, previously demonstrated for motor tasks. Moreover, the learning process is actually associated with changes in movement patterns. Finally, the results show that the progression of the learning process depends on age, although elderly people are equally capable of learning to use technological systems as young adults. Copyright 2010 Elsevier B.V. All rights reserved.

  9. Behavioral Correlations Associated with Fear of Humans Differ between Rural and Urban Burrowing Owls

    Directory of Open Access Journals (Sweden)

    Martina Carrete

    2017-05-01

    Full Text Available Behavioral studies are fundamental to understanding how animal populations face global change. Although much research has centered upon the idea that individuals can adaptively modify their behaviors to cope with environmental changes, recent evidence supports the existence of individual differences in suites of correlated behaviors. However, little is known about how selection can change these behavioral structures in populations subject to different environmental constraints. The colonization of urban environments by birds has been related to their inter-individual variability in their fear of humans, measured as their flight initiation distance to an approaching human, such that urban life would select for fearless individuals. This behavior has been demonstrated to be heritable and highly consistent throughout the adult lifespan of burrowing owls (Athene cunicularia. Here, we experimentally assessed, in field conditions, whether urban life involves changes in other behaviors such as exploration and antipredatory response through their correlation with fear of humans. Breeding urban birds were more fearless toward humans and were quicker to explore a new food resource and defend their nests from predators than their rural counterparts. However, while fear of humans positively correlated with exploration and antipredatory response in the rural population, it only correlated with exploration in the urban one. Predator release in urban environments could relax—and even counterselect—antipredator behaviors, thus dismantling the behavioral correlation existent in natural populations. Altogether, our results suggest that rural and urban animals may differ in some behavioral aspects, may be as a consequence of the selection processes acting during the colonization of urban areas as well as the different ecological environments encountered by individuals.

  10. Automated regional behavioral analysis for human brain images.

    Science.gov (United States)

    Lancaster, Jack L; Laird, Angela R; Eickhoff, Simon B; Martinez, Michael J; Fox, P Mickle; Fox, Peter T

    2012-01-01

    Behavioral categories of functional imaging experiments along with standardized brain coordinates of associated activations were used to develop a method to automate regional behavioral analysis of human brain images. Behavioral and coordinate data were taken from the BrainMap database (http://www.brainmap.org/), which documents over 20 years of published functional brain imaging studies. A brain region of interest (ROI) for behavioral analysis can be defined in functional images, anatomical images or brain atlases, if images are spatially normalized to MNI or Talairach standards. Results of behavioral analysis are presented for each of BrainMap's 51 behavioral sub-domains spanning five behavioral domains (Action, Cognition, Emotion, Interoception, and Perception). For each behavioral sub-domain the fraction of coordinates falling within the ROI was computed and compared with the fraction expected if coordinates for the behavior were not clustered, i.e., uniformly distributed. When the difference between these fractions is large behavioral association is indicated. A z-score ≥ 3.0 was used to designate statistically significant behavioral association. The left-right symmetry of ~100K activation foci was evaluated by hemisphere, lobe, and by behavioral sub-domain. Results highlighted the classic left-side dominance for language while asymmetry for most sub-domains (~75%) was not statistically significant. Use scenarios were presented for anatomical ROIs from the Harvard-Oxford cortical (HOC) brain atlas, functional ROIs from statistical parametric maps in a TMS-PET study, a task-based fMRI study, and ROIs from the ten "major representative" functional networks in a previously published resting state fMRI study. Statistically significant behavioral findings for these use scenarios were consistent with published behaviors for associated anatomical and functional regions.

  11. Smoking cessation: an application of theory of planned behavior to understanding progress through stages of change.

    Science.gov (United States)

    Bledsoe, Linda K

    2006-07-01

    The purpose of this research was to investigate variables relevant to smoking cessation early in the process of change through an application of the Theory of Planned Behavior [Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl and J. Beckman (Eds). Action-control: From cognition to behavior (pp.11-39). Heidelberg: Springer.] to the temporal structure provided by the Transtheoretical Model. Study 1 was a preliminary elicitation study (n=68) conducted to ground the concepts used in the model testing in Study 2 [Ajzen, I., Fishbein, M. (1980). Understanding attitudes and predicting social behavior, Englewood Cliffs, NJ: Prentice-Hall.]. Study 2 tested the proposed model fit with data from a sample of 230 adult smokers. Structural equation modeling did not support the Theory of Planned Behavior as a model of motivation for progress through the stages of change and highlighted measurement issues with perceived behavioral control. A modified model using the Theory of Reasoned Action provided a good fit to the data, accounting for approximately 64% of the variance in intention to quit smoking and stage of change. This research addresses the need for a more complete theoretical rationale for progress through stages of change.

  12. Copy of Using Emulation and Simulation to Understand the Large-Scale Behavior of the Internet.

    Energy Technology Data Exchange (ETDEWEB)

    Adalsteinsson, Helgi; Armstrong, Robert C.; Chiang, Ken; Gentile, Ann C.; Lloyd, Levi; Minnich, Ronald G.; Vanderveen, Keith; Van Randwyk, Jamie A; Rudish, Don W.

    2008-10-01

    We report on the work done in the late-start LDRDUsing Emulation and Simulation toUnderstand the Large-Scale Behavior of the Internet. We describe the creation of a researchplatform that emulates many thousands of machines to be used for the study of large-scale inter-net behavior. We describe a proof-of-concept simple attack we performed in this environment.We describe the successful capture of a Storm bot and, from the study of the bot and furtherliterature search, establish large-scale aspects we seek to understand via emulation of Storm onour research platform in possible follow-on work. Finally, we discuss possible future work.3

  13. Understanding Information Seeking Behavior of Indonesian Postgraduate Students in Malaysian Universities: An Empirical Study

    OpenAIRE

    Muhammad Subhan; Ahmad Bashawir Abdul Ghani

    2013-01-01

    Abstract : This study investigates Indonesian postgraduate student’s experience at the pre-sessional program of the process of seeking information and the strategies they used throughout the process. The objective is to understand their information seeking behavior particularly academic-related information in order to improve the effectiveness of educational communication in Malaysia higher institutions. Two research questions are addressed: what experiences do pre-sessional students face i...

  14. State dissociation, human behavior, and consciousness.

    Science.gov (United States)

    Mahowald, Mark W; Cramer Bornemann, Michel A; Schenck, Carlos H

    2011-01-01

    Sleep is clearly not only a whole-brain or global phenomenon, but can also be a local phenomenon. This accounts for the fact that the primary states of being (wakefulness, NREM sleep, and REM sleep) are not necessarily mutually exclusive, and components of these states may appear in various combinations, with fascinating clinical consequences. Examples include: sleep inertia, narcolepsy, sleep paralysis, lucid dreaming, REM sleep behavior disorder, sleepwalking, sleep terrors, out-of-body experiences, and reports of alien abduction. The incomplete declaration of state likewise has implications for consciousness - which also has fluid boundaries. Fluctuations in the degree of consciousness are likely explained by abnormalities of a "spatial and temporal binding rhythm" which normally results in a unified conscious experience. Dysfunctional binding may play a role in anesthetic states, autism, schizophrenia, and neurodegenerative disorders. Further study of the broad spectrum of dissociated states of sleep and wakefulness that are closely linked with states of consciousness and unconsciousness by basic neuroscientists, clinicians, and members of the legal profession will provide scientific, clinical and therapeutic insights, with forensic implications.

  15. Timing of Multimodal Robot Behaviors during Human-Robot Collaboration

    DEFF Research Database (Denmark)

    Jensen, Lars Christian; Fischer, Kerstin; Suvei, Stefan-Daniel

    2017-01-01

    In this paper, we address issues of timing between robot behaviors in multimodal human-robot interaction. In particular, we study what effects sequential order and simultaneity of robot arm and body movement and verbal behavior have on the fluency of interactions. In a study with the Care...... output plays a special role because participants carry their expectations from human verbal interaction into the interactions with robots.......-O-bot, a large service robot, in a medical measurement scenario, we compare the timing of the robot's behaviors in three between-subject conditions. The results show that the relative timing of robot behaviors has significant effects on the number of problems participants encounter, and that the robot's verbal...

  16. The contributions of cognitive neuroscience and neuroimaging to understanding mechanisms of behavior change in addiction.

    Science.gov (United States)

    Morgenstern, Jon; Naqvi, Nasir H; Debellis, Robert; Breiter, Hans C

    2013-06-01

    In the last decade, there has been an upsurge of interest in understanding the mechanisms of behavior change (MOBC) and effective behavioral interventions as a strategy to improve addiction-treatment efficacy. However, there remains considerable uncertainty about how treatment research should proceed to address the MOBC issue. In this article, we argue that limitations in the underlying models of addiction that inform behavioral treatment pose an obstacle to elucidating MOBC. We consider how advances in the cognitive neuroscience of addiction offer an alternative conceptual and methodological approach to studying the psychological processes that characterize addiction, and how such advances could inform treatment process research. In addition, we review neuroimaging studies that have tested aspects of neurocognitive theories as a strategy to inform addiction therapies and discuss future directions for transdisciplinary collaborations across cognitive neuroscience and MOBC research. 2013 APA, all rights reserved

  17. Getting angry matters: Going beyond perspective taking and empathic concern to understand bystanders' behavior in bullying.

    Science.gov (United States)

    Pozzoli, Tiziana; Gini, Gianluca; Thornberg, Robert

    2017-12-01

    The present study examined the relations between different empathic dimensions and bystanders' behavior in bullying. Specifically, the indirect effects of empathic concern and perspective taking via empathic anger on defending and passive bystanding were tested in a sample of Italian young adolescents (N = 398; M age  = 12 years, 3 months, 47.2% girls). Path analysis confirmed the direct and indirect effects, via empathic anger, of empathic concern and perspective taking on bystanders' behavior, with the exception of the direct association between perspective taking and passive bystanding that was not significant. Our findings suggest that considering empathic anger together with empathic concern and perspective taking could help researchers to better understand the links between empathic dispositions and bystanders' behavior in bullying. Copyright © 2017. Published by Elsevier Ltd.

  18. Understanding behavioral intent to participate in shared decision-making in medically uncertain situations.

    Science.gov (United States)

    Maffei, Roxana M; Dunn, K; Zhang, J; Hsu, C E; Holmes, J H

    2012-01-01

    This article describes the process undertaken to identify and validate behavioral and normative beliefs and behavioral intent based on the Theory of Reasoned Action (TRA) and applied to men between the ages of 45 and 70 in the context of their participation in shared decision-making (SDM) in medically uncertain situations. This article also discusses the preliminary results of the aforementioned processes and explores potential future uses of this information that may facilitate greater understanding, efficiency and effectiveness of clinician-patient consultations. Twenty-five male subjects from the Philadelphia community participated in this study. Individual semi-structure patient interviews were conducted until data saturation was reached. Based on their review of the patient interview transcripts, researchers conducted a qualitative content analysis to identify prevalent themes and, subsequently, create a category framework. Qualitative indicators were used to evaluate respondents' experiences, beliefs, and behavioral intent relative to participation in shared decision-making during medical uncertainty. Based on the themes uncovered through the content analysis, a category framework was developed to facilitate understanding and increase the accuracy of predictions related to an individual's behavioral intent to participate in shared decision-making in medical uncertainty. The emerged themes included past experience with medical uncertainty, individual personality, and the relationship between the patient and his physician. The resulting three main framework categories include 1) an individual's Foundation for the concept of medical uncertainty, 2) how the individual Copes with medical uncertainty, and 3) the individual's Behavioral Intent to seek information and participate in shared decision-making during times of medically uncertain situations. The theme of Coping (with uncertainty) emerged as a particularly critical behavior/characteristic amongst the

  19. Talking with a Virtual Human : Controlling the Human Experience and Behavior in a Virtual Conversation

    NARCIS (Netherlands)

    Qu, C.

    2014-01-01

    Virtual humans are often designed to replace real humans in virtual reality applications for e.g., psychotherapy, education and entertainment. In general, applications with virtual humans are created for modifying a person's knowledge, beliefs, attitudes, emotions or behaviors. Reaching these

  20. Radiography as a tool in understanding soil insect behavior in turfgrass

    International Nuclear Information System (INIS)

    Villani, M.G.; Wright, R.J.

    1987-01-01

    In an effort to gain a more realistic picture of the events that occur within the soil matrix an x-ray technique has been developed that has been used to study seed insects, parasitized cocoons, and wood boring insects in trees to study soil insect movement and behavior. This technique makes it possible to study the movement of the target insects within simulated or natural soil blocks over time. This method also shows physical properties of the soil matrix: particle size, extent of compaction, differences in soil moisture, horizons, and random soil heterogeneity. Blocks of soil up to 14'' x 17'' x 5'' have been removed from the field and x-rayed in my laboratory using this technique. These radiographs are of sufficient quality to determine the movement of white grubs in situ. Such blocks retain their field characteristics and therefore allow for the careful monitoring and manipulation of the system over relatively long (several months) periods of time. Radiographic data are presented which document the behavior of several white grub species in response to dynamic soil ecosystem processes such as moisture and temperature flux. Additional data on the effects of specific soil insecticides on the behavior of white grubs in the soil and the movement of these insecticides through the soil profile are also presented. The importance of understanding the dynamic interaction of soil insect and soil insecticide provided through x-ray technology, both in understanding white grub behavior in the field and maximizing management efforts is discussed

  1. Genome-wide analysis identifies 12 loci influencing human reproductive behavior

    DEFF Research Database (Denmark)

    Barban, Nicola; Jansen, Rick; de Vlaming, Ronald

    2016-01-01

    The genetic architecture of human reproductive behavior-age at first birth (AFB) and number of children ever born (NEB)-has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified......-wide association study and 4 additional loci associated in a gene-based effort. These loci harbor genes that are likely to have a role, either directly or by affecting non-local gene expression, in human reproduction and infertility, thereby increasing understanding of these complex traits....

  2. Bootstrapping Q Methodology to Improve the Understanding of Human Perspectives

    Science.gov (United States)

    Zabala, Aiora; Pascual, Unai

    2016-01-01

    Q is a semi-qualitative methodology to identify typologies of perspectives. It is appropriate to address questions concerning diverse viewpoints, plurality of discourses, or participation processes across disciplines. Perspectives are interpreted based on rankings of a set of statements. These rankings are analysed using multivariate data reduction techniques in order to find similarities between respondents. Discussing the analytical process and looking for progress in Q methodology is becoming increasingly relevant. While its use is growing in social, health and environmental studies, the analytical process has received little attention in the last decades and it has not benefited from recent statistical and computational advances. Specifically, the standard procedure provides overall and arguably simplistic variability measures for perspectives and none of these measures are associated to individual statements, on which the interpretation is based. This paper presents an innovative approach of bootstrapping Q to obtain additional and more detailed measures of variability, which helps researchers understand better their data and the perspectives therein. This approach provides measures of variability that are specific to each statement and perspective, and additional measures that indicate the degree of certainty with which each respondent relates to each perspective. This supplementary information may add or subtract strength to particular arguments used to describe the perspectives. We illustrate and show the usefulness of this approach with an empirical example. The paper provides full details for other researchers to implement the bootstrap in Q studies with any data collection design. PMID:26845694

  3. Bootstrapping Q Methodology to Improve the Understanding of Human Perspectives.

    Science.gov (United States)

    Zabala, Aiora; Pascual, Unai

    2016-01-01

    Q is a semi-qualitative methodology to identify typologies of perspectives. It is appropriate to address questions concerning diverse viewpoints, plurality of discourses, or participation processes across disciplines. Perspectives are interpreted based on rankings of a set of statements. These rankings are analysed using multivariate data reduction techniques in order to find similarities between respondents. Discussing the analytical process and looking for progress in Q methodology is becoming increasingly relevant. While its use is growing in social, health and environmental studies, the analytical process has received little attention in the last decades and it has not benefited from recent statistical and computational advances. Specifically, the standard procedure provides overall and arguably simplistic variability measures for perspectives and none of these measures are associated to individual statements, on which the interpretation is based. This paper presents an innovative approach of bootstrapping Q to obtain additional and more detailed measures of variability, which helps researchers understand better their data and the perspectives therein. This approach provides measures of variability that are specific to each statement and perspective, and additional measures that indicate the degree of certainty with which each respondent relates to each perspective. This supplementary information may add or subtract strength to particular arguments used to describe the perspectives. We illustrate and show the usefulness of this approach with an empirical example. The paper provides full details for other researchers to implement the bootstrap in Q studies with any data collection design.

  4. Marmosets: A Neuroscientific Model of Human Social Behavior

    Science.gov (United States)

    Freiwald, Winrich A; Leopold, David A; Mitchell, Jude F; Silva, Afonso C; Wang, Xiaoqin

    2016-01-01

    The common marmoset (Callithrix jacchus) has garnered interest recently as a powerful model for the future of neuroscience research. Much of this excitement has centered on the species’ reproductive biology and compatibility with gene editing techniques, which together have provided a path for transgenic marmosets to contribute to the study of disease as well as basic brain mechanisms. In step with technical advances is the need to establish experimental paradigms that optimally tap into the marmosets’ behavioral and cognitive capacities. While conditioned task performance of a marmoset can compare unfavorably with rhesus monkey performance on conventional testing paradigms, marmosets’ social cognition and communication are more similar to that of humans. For example, marmosets are amongst only a handful of primates that, like humans, routinely pair bond and care cooperatively for their young. They are also notably pro-social and exhibit social cognitive abilities, such as imitation, that are rare outside of the Apes. In this review, we describe key facets of marmoset natural social behavior and demonstrate that emerging behavioral paradigms are well suited to isolate components of marmoset cognition that are highly relevant to humans. These approaches generally embrace natural behavior and communication, which has been rare in conventional primate testing, and thus allow for a new consideration of neural mechanisms underlying primate social cognition and communication. We anticipate that through parallel technical and paradigmatic advances, marmosets will become an essential model of human social behavior, including its dysfunction in nearly all neuropsychiatric disorders. PMID:27100195

  5. Human behavioral complexity peaks at age 25

    Science.gov (United States)

    Brugger, Peter

    2017-01-01

    Random Item Generation tasks (RIG) are commonly used to assess high cognitive abilities such as inhibition or sustained attention. They also draw upon our approximate sense of complexity. A detrimental effect of aging on pseudo-random productions has been demonstrated for some tasks, but little is as yet known about the developmental curve of cognitive complexity over the lifespan. We investigate the complexity trajectory across the lifespan of human responses to five common RIG tasks, using a large sample (n = 3429). Our main finding is that the developmental curve of the estimated algorithmic complexity of responses is similar to what may be expected of a measure of higher cognitive abilities, with a performance peak around 25 and a decline starting around 60, suggesting that RIG tasks yield good estimates of such cognitive abilities. Our study illustrates that very short strings of, i.e., 10 items, are sufficient to have their complexity reliably estimated and to allow the documentation of an age-dependent decline in the approximate sense of complexity. PMID:28406953

  6. Human behavioral complexity peaks at age 25.

    Directory of Open Access Journals (Sweden)

    Nicolas Gauvrit

    2017-04-01

    Full Text Available Random Item Generation tasks (RIG are commonly used to assess high cognitive abilities such as inhibition or sustained attention. They also draw upon our approximate sense of complexity. A detrimental effect of aging on pseudo-random productions has been demonstrated for some tasks, but little is as yet known about the developmental curve of cognitive complexity over the lifespan. We investigate the complexity trajectory across the lifespan of human responses to five common RIG tasks, using a large sample (n = 3429. Our main finding is that the developmental curve of the estimated algorithmic complexity of responses is similar to what may be expected of a measure of higher cognitive abilities, with a performance peak around 25 and a decline starting around 60, suggesting that RIG tasks yield good estimates of such cognitive abilities. Our study illustrates that very short strings of, i.e., 10 items, are sufficient to have their complexity reliably estimated and to allow the documentation of an age-dependent decline in the approximate sense of complexity.

  7. Enhancements for a Dynamic Data Warehousing and Mining System for Large-Scale Human Social Cultural Behavioral (HSBC) Data

    Science.gov (United States)

    2016-09-26

    System for Large-Scale Human Social Cultural Behavioral (HSBC) Data Final Report Reporting Period: March 22, 2016 – September 18, 2016...Enhancements for a Dynamic Data Warehousing and Mining System for N00014-16-P-3014 Large-Scale Human Social Cultural Behavioral (HSBC) Data 5b. GRANT NUMBER...decision makers and field personnel to better understand and address unexpected crises. By using graph analytics at large-scales, users will be able to

  8. Human behavior state profile mapping based on recalibrated speech affective space model.

    Science.gov (United States)

    Kamaruddin, N; Wahab, A

    2012-01-01

    People typically associate health with only physical health. However, health is also interconnected to mental and emotional health. People who are emotionally healthy are in control of their behaviors and experience better quality of life. Hence, understanding human behavior is very important in ensuring the complete understanding of one's holistic health. In this paper, we attempt to map human behavior state (HBS) profiles onto recalibrated speech affective space model (rSASM). Such an approach is derived from hypotheses that: 1) Behavior is influenced by emotion, 2) Emotion can be quantified through speech, 3) Emotion is dynamic and changes over time and 4) the emotion conveyance is conditioned by culture. Empirical results illustrated that the proposed approach can complement other types of behavior analysis in such a way that it offers more explanatory components from the perspective of emotion primitives (valence and arousal). Four different driving HBS; namely: distracted, laughing, sleepy and normal are profiled onto the rSASM to visualize the correlation between HBS and emotion. This approach can be incorporated in the future behavior analysis to envisage better performance.

  9. Human behavioral regularity, fractional Brownian motion, and exotic phase transition

    Science.gov (United States)

    Li, Xiaohui; Yang, Guang; An, Kenan; Huang, Jiping

    2016-08-01

    The mix of competition and cooperation (C&C) is ubiquitous in human society, which, however, remains poorly explored due to the lack of a fundamental method. Here, by developing a Janus game for treating C&C between two sides (suppliers and consumers), we show, for the first time, experimental and simulation evidences for human behavioral regularity. This property is proved to be characterized by fractional Brownian motion associated with an exotic transition between periodic and nonperiodic phases. Furthermore, the periodic phase echoes with business cycles, which are well-known in reality but still far from being well understood. Our results imply that the Janus game could be a fundamental method for studying C&C among humans in society, and it provides guidance for predicting human behavioral activity from the perspective of fractional Brownian motion.

  10. HUMAN RESOURCE MANAGEMENT IN TERMS OF BEHAVIORAL ECONOMICS

    Directory of Open Access Journals (Sweden)

    Ewa Mazanowska

    2015-01-01

    Full Text Available Behaviourists believe human capital is seen as the potential in people. They believe that the human resource in the organization are intangible assets embodied in the employees, not the people themselves. Behavioral economics emphasizes that people aren’t owned by the company, only their abilities and skills made available to the employer on the basis of certain legal relations which holds it to manage these assets in a rational way. Recognition of behavioral economics also highlights the aspects of development and human capital perspective, which appear in the may resource Staff in the future. These may be limited to: raise, awareness of capacity, internal aspirations, motives. Human capital management is nothing but a recognition of the relevant characteristics of the potential held within the company Staff and correct its use. As a consequence, it can bring tangible benefits to the organization.

  11. Generating Phenotypical Erroneous Human Behavior to Evaluate Human-automation Interaction Using Model Checking.

    Science.gov (United States)

    Bolton, Matthew L; Bass, Ellen J; Siminiceanu, Radu I

    2012-11-01

    Breakdowns in complex systems often occur as a result of system elements interacting in unanticipated ways. In systems with human operators, human-automation interaction associated with both normative and erroneous human behavior can contribute to such failures. Model-driven design and analysis techniques provide engineers with formal methods tools and techniques capable of evaluating how human behavior can contribute to system failures. This paper presents a novel method for automatically generating task analytic models encompassing both normative and erroneous human behavior from normative task models. The generated erroneous behavior is capable of replicating Hollnagel's zero-order phenotypes of erroneous action for omissions, jumps, repetitions, and intrusions. Multiple phenotypical acts can occur in sequence, thus allowing for the generation of higher order phenotypes. The task behavior model pattern capable of generating erroneous behavior can be integrated into a formal system model so that system safety properties can be formally verified with a model checker. This allows analysts to prove that a human-automation interactive system (as represented by the model) will or will not satisfy safety properties with both normative and generated erroneous human behavior. We present benchmarks related to the size of the statespace and verification time of models to show how the erroneous human behavior generation process scales. We demonstrate the method with a case study: the operation of a radiation therapy machine. A potential problem resulting from a generated erroneous human action is discovered. A design intervention is presented which prevents this problem from occurring. We discuss how our method could be used to evaluate larger applications and recommend future paths of development.

  12. Generating Phenotypical Erroneous Human Behavior to Evaluate Human-automation Interaction Using Model Checking

    Science.gov (United States)

    Bolton, Matthew L.; Bass, Ellen J.; Siminiceanu, Radu I.

    2012-01-01

    Breakdowns in complex systems often occur as a result of system elements interacting in unanticipated ways. In systems with human operators, human-automation interaction associated with both normative and erroneous human behavior can contribute to such failures. Model-driven design and analysis techniques provide engineers with formal methods tools and techniques capable of evaluating how human behavior can contribute to system failures. This paper presents a novel method for automatically generating task analytic models encompassing both normative and erroneous human behavior from normative task models. The generated erroneous behavior is capable of replicating Hollnagel’s zero-order phenotypes of erroneous action for omissions, jumps, repetitions, and intrusions. Multiple phenotypical acts can occur in sequence, thus allowing for the generation of higher order phenotypes. The task behavior model pattern capable of generating erroneous behavior can be integrated into a formal system model so that system safety properties can be formally verified with a model checker. This allows analysts to prove that a human-automation interactive system (as represented by the model) will or will not satisfy safety properties with both normative and generated erroneous human behavior. We present benchmarks related to the size of the statespace and verification time of models to show how the erroneous human behavior generation process scales. We demonstrate the method with a case study: the operation of a radiation therapy machine. A potential problem resulting from a generated erroneous human action is discovered. A design intervention is presented which prevents this problem from occurring. We discuss how our method could be used to evaluate larger applications and recommend future paths of development. PMID:23105914

  13. Animal models to improve our understanding and treatment of suicidal behavior.

    Science.gov (United States)

    Gould, T D; Georgiou, P; Brenner, L A; Brundin, L; Can, A; Courtet, P; Donaldson, Z R; Dwivedi, Y; Guillaume, S; Gottesman, I I; Kanekar, S; Lowry, C A; Renshaw, P F; Rujescu, D; Smith, E G; Turecki, G; Zanos, P; Zarate, C A; Zunszain, P A; Postolache, T T

    2017-04-11

    Worldwide, suicide is a leading cause of death. Although a sizable proportion of deaths by suicide may be preventable, it is well documented that despite major governmental and international investments in research, education and clinical practice suicide rates have not diminished and are even increasing among several at-risk populations. Although nonhuman animals do not engage in suicidal behavior amenable to translational studies, we argue that animal model systems are necessary to investigate candidate endophenotypes of suicidal behavior and the neurobiology underlying these endophenotypes. Animal models are similarly a critical resource to help delineate treatment targets and pharmacological means to improve our ability to manage the risk of suicide. In particular, certain pathophysiological pathways to suicidal behavior, including stress and hypothalamic-pituitary-adrenal axis dysfunction, neurotransmitter system abnormalities, endocrine and neuroimmune changes, aggression, impulsivity and decision-making deficits, as well as the role of critical interactions between genetic and epigenetic factors, development and environmental risk factors can be modeled in laboratory animals. We broadly describe human biological findings, as well as protective effects of medications such as lithium, clozapine, and ketamine associated with modifying risk of engaging in suicidal behavior that are readily translatable to animal models. Endophenotypes of suicidal behavior, studied in animal models, are further useful for moving observed associations with harmful environmental factors (for example, childhood adversity, mechanical trauma aeroallergens, pathogens, inflammation triggers) from association to causation, and developing preventative strategies. Further study in animals will contribute to a more informed, comprehensive, accelerated and ultimately impactful suicide research portfolio.

  14. Novelty, Stress, and Biological Roots in Human Market Behavior

    Directory of Open Access Journals (Sweden)

    Alexey Sarapultsev

    2014-02-01

    Full Text Available Although studies examining the biological roots of human behavior have been conducted since the seminal work Kahneman and Tversky, crises and panics have not disappeared. The frequent occurrence of various types of crises has led some economists to the conviction that financial markets occasionally praise irrational judgments and that market crashes cannot be avoided a priori (Sornette 2009; Smith 2004. From a biological point of view, human behaviors are essentially the same during crises accompanied by stock market crashes and during bubble growth when share prices exceed historic highs. During those periods, most market participants see something new for themselves, and this inevitably induces a stress response in them with accompanying changes in their endocrine profiles and motivations. The result is quantitative and qualitative changes in behavior (Zhukov 2007. An underestimation of the role of novelty as a stressor is the primary shortcoming of current approaches for market research. When developing a mathematical market model, it is necessary to account for the biologically determined diphasisms of human behavior in everyday low-stress conditions and in response to stressors. This is the only type of approach that will enable forecasts of market dynamics and investor behaviors under normal conditions as well as during bubbles and panics.

  15. Novelty, stress, and biological roots in human market behavior.

    Science.gov (United States)

    Sarapultsev, Alexey; Sarapultsev, Petr

    2014-03-01

    Although studies examining the biological roots of human behavior have been conducted since the seminal work Kahneman and Tversky, crises and panics have not disappeared. The frequent occurrence of various types of crises has led some economists to the conviction that financial markets occasionally praise irrational judgments and that market crashes cannot be avoided a priori (Sornette 2009; Smith 2004). From a biological point of view, human behaviors are essentially the same during crises accompanied by stock market crashes and during bubble growth when share prices exceed historic highs. During those periods, most market participants see something new for themselves, and this inevitably induces a stress response in them with accompanying changes in their endocrine profiles and motivations. The result is quantitative and qualitative changes in behavior (Zhukov 2007). An underestimation of the role of novelty as a stressor is the primary shortcoming of current approaches for market research. When developing a mathematical market model, it is necessary to account for the biologically determined diphasisms of human behavior in everyday low-stress conditions and in response to stressors. This is the only type of approach that will enable forecasts of market dynamics and investor behaviors under normal conditions as well as during bubbles and panics.

  16. The interaction between ICT and human activity-travel behavior

    NARCIS (Netherlands)

    Kwan, M.P.; Dijst, M.J.; Schwanen, T.

    2007-01-01

    The interaction between information and communication technologies (ICT) and human activity-travel behavior has been an important theme in transportation research in recent years. Researchers have recognized that an increase in the use of ICT may lead to changes in the location, timing and duration

  17. Interactive human behavior analysis in open or public spaces

    NARCIS (Netherlands)

    Hung, H.; Odobez, J.-M.; Gavrila, D.; Keyson, D.V.; Maher, M.L.; Streitz, N.; Cheok, A.; Augusto, J.C.; Wichert, R.; Englebienne, G.; Aghajan, H.; Kröse, B.J.A.

    2011-01-01

    In the past years, efforts in surveillance and open space analysis have focused on traditional computer vision problems like scene modeling or object detection and tracking. Research on human behavior recognition have tended to work on predefined simple activities such as running, jumping or left

  18. Integrated Human Behavior Modeling and Stochastic Control (IHBMSC)

    Science.gov (United States)

    2014-08-01

    angle, dwell time, workload). For a 50% target density scenario where the operator discrimination task is fairly difficult, the integrated human ... behavior model and stochastic controller (IHBMSC) was shown to reduce the FA rate from 35% to 5%. Also, the IHBMSC performance was found to be quite robust for lower target densities (5%) and different operators.

  19. Needed Research on the Effect of Buildings on Human Behavior.

    Science.gov (United States)

    Handler, Benjamin

    Building Research is urged to expand into areas concerned with human behavior, and a need for information on how people react physically and mentally, and how they perform their various tasks in environment created for them by the design professions, is cited. A research project at the University of Michigan is described, aimed at measuring the…

  20. Counseling Children and Adolescents: Rational Emotive Behavior Therapy and Humanism.

    Science.gov (United States)

    Vernon, Ann

    1996-01-01

    Describes specific parallels between rational emotive behavior therapy and humanism. Places specific emphasis on the application of these principles with children and adolescents. Concepts are illustrated with case studies and a description of the similarities between rational emotive and humanistic, or affective, education. Highlights emotional…

  1. Assessing Human Judgment of Computationally Generated Swarming Behavior

    Directory of Open Access Journals (Sweden)

    John Harvey

    2018-02-01

    Full Text Available Computer-based swarm systems, aiming to replicate the flocking behavior of birds, were first introduced by Reynolds in 1987. In his initial work, Reynolds noted that while it was difficult to quantify the dynamics of the behavior from the model, observers of his model immediately recognized them as a representation of a natural flock. Considerable analysis has been conducted since then on quantifying the dynamics of flocking/swarming behavior. However, no systematic analysis has been conducted on human identification of swarming. In this paper, we assess subjects’ assessment of the behavior of a simplified version of Reynolds’ model. Factors that affect the identification of swarming are discussed and future applications of the resulting models are proposed. Differences in decision times for swarming-related questions asked during the study indicate that different brain mechanisms may be involved in different elements of the behavior assessment task. The relatively simple but finely tunable model used in this study provides a useful methodology for assessing individual human judgment of swarming behavior.

  2. Understanding Human Hand Gestures for Learning Robot Pick-and-Place Tasks

    Directory of Open Access Journals (Sweden)

    Hsien-I Lin

    2015-05-01

    Full Text Available Programming robots by human demonstration is an intuitive approach, especially by gestures. Because robot pick-and-place tasks are widely used in industrial factories, this paper proposes a framework to learn robot pick-and-place tasks by understanding human hand gestures. The proposed framework is composed of the module of gesture recognition and the module of robot behaviour control. For the module of gesture recognition, transport empty (TE, transport loaded (TL, grasp (G, and release (RL from Gilbreth's therbligs are the hand gestures to be recognized. A convolution neural network (CNN is adopted to recognize these gestures from a camera image. To achieve the robust performance, the skin model by a Gaussian mixture model (GMM is used to filter out non-skin colours of an image, and the calibration of position and orientation is applied to obtain the neutral hand pose before the training and testing of the CNN. For the module of robot behaviour control, the corresponding robot motion primitives to TE, TL, G, and RL, respectively, are implemented in the robot. To manage the primitives in the robot system, a behaviour-based programming platform based on the Extensible Agent Behavior Specification Language (XABSL is adopted. Because the XABSL provides the flexibility and re-usability of the robot primitives, the hand motion sequence from the module of gesture recognition can be easily used in the XABSL programming platform to implement the robot pick-and-place tasks. The experimental evaluation of seven subjects performing seven hand gestures showed that the average recognition rate was 95.96%. Moreover, by the XABSL programming platform, the experiment showed the cube-stacking task was easily programmed by human demonstration.

  3. Understanding HIV Risk Behavior among Tuberculosis Patients with Alcohol Use Disorders in Tomsk, Russian Federation.

    Science.gov (United States)

    Miller, Ann C; Nelson, A Katrina; Livchits, Viktoria; Greenfield, Shelly F; Yanova, Galina; Yanov, Sergei; Connery, Hilary S; Atwood, Sidney; Lastimoso, Charmaine S; Shin, Sonya S

    2016-01-01

    Russian Federation's (RF) HIV epidemic is the fastest growing of any country. This study explores factors associated with high HIV risk behavior in tuberculosis (TB) patients with alcohol use disorders in Tomsk, RF. This analysis was nested within the Integrated Management of Physician-delivered Alcohol Care for TB Patients (IMPACT, trial number NCT00675961) randomized controlled study of integrating alcohol treatment into TB treatment in Tomsk. Demographics, HIV risk behavior (defined as participant report of high-risk intravenous drug use and/or multiple sexual partners with inconsistent condom use in the last six months), clinical data, alcohol use, depression and psychosocial factors were collected from 196 participants (161 male and 35 female) at baseline. Forty-six participants (23.5%) endorsed HIV risk behavior at baseline. Incarceration history(Odds Ratio (OR)3.93, 95% confidence interval (CI) 1.95, 7.95), age under 41 (OR:2.97, CI:1.46, 6.04), drug addiction(OR: 3.60 CI:1.10, 11.77), history of a sexually transmitted disease(STD)(OR 2.00 CI:1.02, 3.90), low social capital (OR:2.81 CI:0.99, 8.03) and heavier alcohol use (OR:2.56 CI: 1.02, 6.46) were significantly more likely to be associated with HIV risk behavior at baseline. In adjusted analysis, age under 41(OR: 4.93, CI: 2.10, 11.58), incarceration history(OR: 3.56 CI:1.55, 8.17) and STD history (OR: 3.48, CI: 1.5, 8.10) continued to be significantly associated with HIV risk behavior. Understanding HIV transmission dynamics in Russia remains an urgent priority to inform strategies to address the epidemic. Larger studies addressing sex differences in risks and barriers to protective behavior are needed.

  4. Understanding HIV Risk Behavior among Tuberculosis Patients with Alcohol Use Disorders in Tomsk, Russian Federation.

    Directory of Open Access Journals (Sweden)

    Ann C Miller

    Full Text Available Russian Federation's (RF HIV epidemic is the fastest growing of any country. This study explores factors associated with high HIV risk behavior in tuberculosis (TB patients with alcohol use disorders in Tomsk, RF. This analysis was nested within the Integrated Management of Physician-delivered Alcohol Care for TB Patients (IMPACT, trial number NCT00675961 randomized controlled study of integrating alcohol treatment into TB treatment in Tomsk. Demographics, HIV risk behavior (defined as participant report of high-risk intravenous drug use and/or multiple sexual partners with inconsistent condom use in the last six months, clinical data, alcohol use, depression and psychosocial factors were collected from 196 participants (161 male and 35 female at baseline. Forty-six participants (23.5% endorsed HIV risk behavior at baseline. Incarceration history(Odds Ratio (OR3.93, 95% confidence interval (CI 1.95, 7.95, age under 41 (OR:2.97, CI:1.46, 6.04, drug addiction(OR: 3.60 CI:1.10, 11.77, history of a sexually transmitted disease(STD(OR 2.00 CI:1.02, 3.90, low social capital (OR:2.81 CI:0.99, 8.03 and heavier alcohol use (OR:2.56 CI: 1.02, 6.46 were significantly more likely to be associated with HIV risk behavior at baseline. In adjusted analysis, age under 41(OR: 4.93, CI: 2.10, 11.58, incarceration history(OR: 3.56 CI:1.55, 8.17 and STD history (OR: 3.48, CI: 1.5, 8.10 continued to be significantly associated with HIV risk behavior. Understanding HIV transmission dynamics in Russia remains an urgent priority to inform strategies to address the epidemic. Larger studies addressing sex differences in risks and barriers to protective behavior are needed.

  5. UNDERSTANDING OF NON VERBAL BEHAVIOR CLIENTS AND TECHNIQUES IN COUNSELING SESSION

    Directory of Open Access Journals (Sweden)

    afdal afdal

    2016-06-01

    Full Text Available The practice of counseling by counselor not only need the skills to understand what is expressed by the client, but were further able to understand and have skills in giving meaning to the nonverbal communication, demonstrated by the behavior of a counseling session. During this time many of counselors who focus only on what is revealed by the client and using verbal techniques alone without seeing what goes on inside the client more deeply to understand the communication indicated by nonverbal behavior. The techniques used in the discussion of this article provides the inspiration that counseling is an art, not superficial, not skeptical and just focus on one technique alone, but many of the techniques that can be used to explore client issues. Furthermore, this paper supports the philosophical theory of Gestalt who believe that the client can feel the direct presence in the counseling sessions through the practices of the techniques used, to interpret the expression of various communications made, stationing themselves and find their own meaning.

  6. Metaphor’s Role in the Information Behavior of Humans Interacting with Computers

    Directory of Open Access Journals (Sweden)

    Robin Sease

    2008-12-01

    Full Text Available Metaphors convey information, communicate abstractions, and help us understand new concepts. While the nascent field of information behavior (IB has adopted common metaphors like “berry-picking” and “gap-bridging” for its models, the study of how people use metaphors is only now emerging in the subfield of human information organizing behavior (HIOB. Metaphors have been adopted in human–computer interaction (HCI to facilitate the dialogue between user and system. Exploration of the literature on metaphors in the fields of linguistics and cognitive science as well as an examination of the history of use of metaphors in HCI as a case study of metaphor usage offers insight into the role of metaphor in human information behavior. Editor’s note: This article is the winner of the LITA/Ex Libris Writing Award, 2008.

  7. Detecting Underlying Stance Adopted When Human Construe Behavior of Entities

    Science.gov (United States)

    Terada, Kazunori; Ono, Kouhei; Ito, Akira

    Whether or not humans can construe the behaviors of entities depends on their psychological stance. The philosopher Dennett proposed human cognitive strategies (three stances) in which humans construe the behavior of other animated objects, including other humans, artifacts, and physical phenomena:‘intentional’, ‘design’ and ‘physical’ stances. Detecting the psychological stance taken toward entities is difficult, because such mental state attribution is a subjective cognitive process and hard to measure. In the present study, we proposed a novel method for detecting underlying stance adopted when human construe behavior of entities. In our method the subject was asked to select the most suitable action sequence shown in three movies each of which representing Dennett’s three stances. To valid our method we have conducted an experiment in which the subjects were presented thirty short videos and asked to compare them to the three movies. The result indicated that the subjects did not focused on prior knowledge about the entity but could focused on motion characteristics per se, owing to simple and typical motion of an abstract shaped object.

  8. Understanding professional behavior: experiences of occupational therapy students in mental health settings.

    Science.gov (United States)

    Lyons, M

    1997-09-01

    A phenomenological study explored occupational therapy students' experiences in psychiatric fieldwork. Of particular interest was students' understanding of professional behavior toward persons who use mental health services. Data were gathered from 16 informants via in-depth interviews and participant observation on multiple occasions during fieldwork affiliations. Emerging from informants' views of professional behavior were difficulties in their reconciling conflicting expectations with regard to emotional and social distance from persons who use mental health services. Additionally, the informants experienced a need to assume authority and maintain control in their dealings with service users. Students' encounters with such issues during fieldwork are indicative of challenges they may face as health professionals in a changing climate of mental health services. These data are stimuli for reflection on features of professional relationships with service users, particularly in response to expectations of persons with disabilities regarding control over their lives.

  9. Bridging the Gap: Towards a Cell-Type Specific Understanding of Neural Circuits Underlying Fear Behaviors

    Science.gov (United States)

    McCullough, KM; Morrison, FG; Ressler, KJ

    2016-01-01

    Fear and anxiety-related disorders are remarkably common and debilitating, and are often characterized by dysregulated fear responses. Rodent models of fear learning and memory have taken great strides towards elucidating the specific neuronal circuitries underlying the learning of fear responses. The present review addresses recent research utilizing optogenetic approaches to parse circuitries underlying fear behaviors. It also highlights the powerful advances made when optogenetic techniques are utilized in a genetically defined, cell-type specific, manner. The application of next-generation genetic and sequencing approaches in a cell-type specific context will be essential for a mechanistic understanding of the neural circuitry underlying fear behavior and for the rational design of targeted, circuit specific, pharmacologic interventions for the treatment and prevention of fear-related disorders. PMID:27470092

  10. An experimental study of human pilot's scanning behavior

    Science.gov (United States)

    Washizu, K.; Tanaka, K.; Osawa, T.

    1982-01-01

    The scanning behavior and the control behavior of the pilot who manually controls the two-variable system, which is the most basic one of multi-variable systems are investigated. Two control tasks which simulate the actual airplane attitude and airspeed control were set up. In order to simulate the change of the situation where the pilot is placed, such as changes of flight phase, mission and others, the subject was requested to vary the weightings, as his control strategy, upon each task. Changes of human control dynamics and his canning properties caused by the modification of the situation were investigated. By making use of the experimental results, the optimal model of the control behavior and the scanning behavior of the pilot in the two-variable system is proposed from the standpoint of making the performance index minimal.

  11. Human Papillomavirus Vaccination at a Time of Changing Sexual Behavior.

    Science.gov (United States)

    Baussano, Iacopo; Lazzarato, Fulvio; Brisson, Marc; Franceschi, Silvia

    2016-01-01

    Human papillomavirus (HPV) prevalence varies widely worldwide. We used a transmission model to show links between age-specific sexual patterns and HPV vaccination effectiveness. We considered rural India and the United States as examples of 2 heterosexual populations with traditional age-specific sexual behavior and gender-similar age-specific sexual behavior, respectively. We simulated these populations by using age-specific rates of sexual activity and age differences between sexual partners and found that transitions from traditional to gender-similar sexual behavior in women sexual behavior and that increased risk for HPV infection attributable to transition is preventable by early vaccination. Our study highlights the importance of using time-limited opportunities to introduce HPV vaccination in traditional populations before changes in age-specific sexual patterns occur.

  12. A rationale for human operator pulsive control behavior

    Science.gov (United States)

    Hess, R. A.

    1979-01-01

    When performing tracking tasks which involve demanding controlled elements such as those with K/s-squared dynamics, the human operator often develops discrete or pulsive control outputs. A dual-loop model of the human operator is discussed, the dominant adaptive feature of which is the explicit appearance of an internal model of the manipulator-controlled element dynamics in an inner feedback loop. Using this model, a rationale for pulsive control behavior is offered which is based upon the assumption that the human attempts to reduce the computational burden associated with time integration of sensory inputs. It is shown that such time integration is a natural consequence of having an internal representation of the K/s-squared-controlled element dynamics in the dual-loop model. A digital simulation is discussed in which a modified form of the dual-loop model is shown to be capable of producing pulsive control behavior qualitively comparable to that obtained in experiment.

  13. Human sexual behavior related to pathology and activity of the brain.

    Science.gov (United States)

    Komisaruk, Barry R; Rodriguez Del Cerro, Maria Cruz

    2015-01-01

    Reviewed in this chapter are: (1) correlations among human sexual behavior, brain pathology, and brain activity, including caveats regarding the interpretation of "cause and effect" among these factors, and the degree to which "hypersexuality" and reported changes in sexual orientation correlated with brain pathology are uniquely sexual or are attributable to a generalized disinhibition of brain function; (2) the effects, in some cases inhibitory, in others facilitatory, on sexual behavior and motivation, of stroke, epileptic seizures, traumatic brain injury, and brain surgery; and (3) insights into sexual motivation and behavior recently gained from functional brain imaging research and its interpretive limitations. We conclude from the reviewed research that the neural orchestra underlying the symphony of human sexuality comprises, rather than brain "centers," multiple integrated brain systems, and that there are more questions than answers in our understanding of the control of human sexual behavior by the brain - a level of understanding that is still in embryonic form. © 2015 Elsevier B.V. All rights reserved.

  14. #consumingitall: Understanding The Complex Relationship Between Media Consumption And Eating Behaviors

    OpenAIRE

    Albert, Stephanie L.

    2017-01-01

    Adolescents spend almost nine hours a day engaging with media. As a result, they are confronted with large amounts of obesogenic content that shapes their understanding of what are normal and acceptable eating behaviors. Utilizing primary data collected from a sample of 4,838 low-income, racially and ethnically diverse middle school students in Los Angeles County, I studied the effects of different types of media use (i.e., social media, TV/movies/videos, gaming, music, Internet) on dietary p...

  15. Beat Keeping in a Sea Lion as Coupled Oscillation: Implications for Comparative Understanding of Human Rhythm

    Directory of Open Access Journals (Sweden)

    Andrew A Rouse

    2016-06-01

    Full Text Available Human capacity for entraining movement to external rhythms—i.e., beat keeping—is ubiquitous, but its evolutionary history and neural underpinnings remain a mystery. Recent findings of entrainment to simple and complex rhythms in non-human animals pave the way for a novel comparative approach to assess the origins and mechanisms of rhythmic behavior. The most reliable non-human beat keeper to date is a California sea lion, Ronan, who was trained to match head movements to isochronous repeating stimuli and showed spontaneous generalization of this ability to novel tempos and to the complex rhythms of music. Does Ronan’s performance rely on the same neural mechanisms as human rhythmic behavior? In the current study, we presented Ronan with simple rhythmic stimuli at novel tempos. On some trials, we introduced perturbations, altering either tempo or phase in the middle of a presentation. Ronan quickly adjusted her behavior following all perturbations, recovering her consistent phase and tempo relationships to the stimulus within a few beats. Ronan’s performance was consistent with predictions of mathematical models describing coupled oscillation: a model relying solely on phase coupling strongly matched her behavior, and the model was further improved with the addition of period coupling. These findings are the clearest evidence yet for parity in human and non-human beat keeping and support the view that the human ability to perceive and move in time to rhythm may be rooted in broadly conserved neural mechanisms.

  16. Application of Survival Analysis and Multistate Modeling to Understand Animal Behavior: Examples from Guide Dogs

    Science.gov (United States)

    Asher, Lucy; Harvey, Naomi D.; Green, Martin; England, Gary C. W.

    2017-01-01

    Epidemiology is the study of patterns of health-related states or events in populations. Statistical models developed for epidemiology could be usefully applied to behavioral states or events. The aim of this study is to present the application of epidemiological statistics to understand animal behavior where discrete outcomes are of interest, using data from guide dogs to illustrate. Specifically, survival analysis and multistate modeling are applied to data on guide dogs comparing dogs that completed training and qualified as a guide dog, to those that were withdrawn from the training program. Survival analysis allows the time to (or between) a binary event(s) and the probability of the event occurring at or beyond a specified time point. Survival analysis, using a Cox proportional hazards model, was used to examine the time taken to withdraw a dog from training. Sex, breed, and other factors affected time to withdrawal. Bitches were withdrawn faster than dogs, Labradors were withdrawn faster, and Labrador × Golden Retrievers slower, than Golden Retriever × Labradors; and dogs not bred by Guide Dogs were withdrawn faster than those bred by Guide Dogs. Multistate modeling (MSM) can be used as an extension of survival analysis to incorporate more than two discrete events or states. Multistate models were used to investigate transitions between states of training to qualification as a guide dog or behavioral withdrawal, and from qualification as a guide dog to behavioral withdrawal. Sex, breed (with purebred Labradors and Golden retrievers differing from F1 crosses), and bred by Guide Dogs or not, effected movements between states. We postulate that survival analysis and MSM could be applied to a wide range of behavioral data and key examples are provided. PMID:28804710

  17. Application of Survival Analysis and Multistate Modeling to Understand Animal Behavior: Examples from Guide Dogs

    Directory of Open Access Journals (Sweden)

    Lucy Asher

    2017-07-01

    Full Text Available Epidemiology is the study of patterns of health-related states or events in populations. Statistical models developed for epidemiology could be usefully applied to behavioral states or events. The aim of this study is to present the application of epidemiological statistics to understand animal behavior where discrete outcomes are of interest, using data from guide dogs to illustrate. Specifically, survival analysis and multistate modeling are applied to data on guide dogs comparing dogs that completed training and qualified as a guide dog, to those that were withdrawn from the training program. Survival analysis allows the time to (or between a binary event(s and the probability of the event occurring at or beyond a specified time point. Survival analysis, using a Cox proportional hazards model, was used to examine the time taken to withdraw a dog from training. Sex, breed, and other factors affected time to withdrawal. Bitches were withdrawn faster than dogs, Labradors were withdrawn faster, and Labrador × Golden Retrievers slower, than Golden Retriever × Labradors; and dogs not bred by Guide Dogs were withdrawn faster than those bred by Guide Dogs. Multistate modeling (MSM can be used as an extension of survival analysis to incorporate more than two discrete events or states. Multistate models were used to investigate transitions between states of training to qualification as a guide dog or behavioral withdrawal, and from qualification as a guide dog to behavioral withdrawal. Sex, breed (with purebred Labradors and Golden retrievers differing from F1 crosses, and bred by Guide Dogs or not, effected movements between states. We postulate that survival analysis and MSM could be applied to a wide range of behavioral data and key examples are provided.

  18. Toward a qualitative understanding of binge-watching behaviors: A focus group approach.

    Science.gov (United States)

    Flayelle, Maèva; Maurage, Pierre; Billieux, Joël

    2017-12-01

    Background and aims Binge-watching (i.e., seeing multiple episodes of the same TV series in a row) now constitutes a widespread phenomenon. However, little is known about the psychological factors underlying this behavior, as reflected by the paucity of available studies, most merely focusing on its potential harmfulness by applying the classic criteria used for other addictive disorders without exploring the uniqueness of binge-watching. This study thus aimed to take the opposite approach as a first step toward a genuine understanding of binge-watching behaviors through a qualitative analysis of the phenomenological characteristics of TV series watching. Methods A focus group of regular TV series viewers (N = 7) was established to explore a wide range of aspects related to TV series watching (e.g., motives, viewing practices, and related behaviors). Results A content analysis identified binge-watching features across three dimensions: TV series watching motivations, TV series watching engagement, and structural characteristics of TV shows. Most participants acknowledged that TV series watching can become addictive, but they all agreed having trouble recognizing themselves as truly being an "addict." Although obvious connections could be established with substance addiction criteria and symptoms, such parallelism appeared to be insufficient, as several distinctive facets emerged (e.g., positive view, transient overinvolvement, context dependency, and low everyday life impact). Discussion and conclusion The research should go beyond the classic biomedical and psychological models of addictive behaviors to account for binge-watching in order to explore its specificities and generate the first steps toward an adequate theoretical rationale for these emerging problematic behaviors.

  19. ISBP: Understanding the Security Rule of Users' Information-Sharing Behaviors in Partnership.

    Directory of Open Access Journals (Sweden)

    Hongchen Wu

    Full Text Available The rapid growth of social network data has given rise to high security awareness among users, especially when they exchange and share their personal information. However, because users have different feelings about sharing their information, they are often puzzled about who their partners for exchanging information can be and what information they can share. Is it possible to assist users in forming a partnership network in which they can exchange and share information with little worry? We propose a modified information sharing behavior prediction (ISBP model that can help in understanding the underlying rules by which users share their information with partners in light of three common aspects: what types of items users are likely to share, what characteristics of users make them likely to share information, and what features of users' sharing behavior are easy to predict. This model is applied with machine learning techniques in WEKA to predict users' decisions pertaining to information sharing behavior and form them into trustable partnership networks by learning their features. In the experiment section, by using two real-life datasets consisting of citizens' sharing behavior, we identify the effect of highly sensitive requests on sharing behavior adjacent to individual variables: the younger participants' partners are more difficult to predict than those of the older participants, whereas the partners of people who are not computer majors are easier to predict than those of people who are computer majors. Based on these findings, we believe that it is necessary and feasible to offer users personalized suggestions on information sharing decisions, and this is pioneering work that could benefit college researchers focusing on user-centric strategies and website owners who want to collect more user information without raising their privacy awareness or losing their trustworthiness.

  20. ISBP: Understanding the Security Rule of Users' Information-Sharing Behaviors in Partnership.

    Science.gov (United States)

    Wu, Hongchen; Wang, Xinjun

    2016-01-01

    The rapid growth of social network data has given rise to high security awareness among users, especially when they exchange and share their personal information. However, because users have different feelings about sharing their information, they are often puzzled about who their partners for exchanging information can be and what information they can share. Is it possible to assist users in forming a partnership network in which they can exchange and share information with little worry? We propose a modified information sharing behavior prediction (ISBP) model that can help in understanding the underlying rules by which users share their information with partners in light of three common aspects: what types of items users are likely to share, what characteristics of users make them likely to share information, and what features of users' sharing behavior are easy to predict. This model is applied with machine learning techniques in WEKA to predict users' decisions pertaining to information sharing behavior and form them into trustable partnership networks by learning their features. In the experiment section, by using two real-life datasets consisting of citizens' sharing behavior, we identify the effect of highly sensitive requests on sharing behavior adjacent to individual variables: the younger participants' partners are more difficult to predict than those of the older participants, whereas the partners of people who are not computer majors are easier to predict than those of people who are computer majors. Based on these findings, we believe that it is necessary and feasible to offer users personalized suggestions on information sharing decisions, and this is pioneering work that could benefit college researchers focusing on user-centric strategies and website owners who want to collect more user information without raising their privacy awareness or losing their trustworthiness.

  1. Application of Survival Analysis and Multistate Modeling to Understand Animal Behavior: Examples from Guide Dogs.

    Science.gov (United States)

    Asher, Lucy; Harvey, Naomi D; Green, Martin; England, Gary C W

    2017-01-01

    Epidemiology is the study of patterns of health-related states or events in populations. Statistical models developed for epidemiology could be usefully applied to behavioral states or events. The aim of this study is to present the application of epidemiological statistics to understand animal behavior where discrete outcomes are of interest, using data from guide dogs to illustrate. Specifically, survival analysis and multistate modeling are applied to data on guide dogs comparing dogs that completed training and qualified as a guide dog, to those that were withdrawn from the training program. Survival analysis allows the time to (or between) a binary event(s) and the probability of the event occurring at or beyond a specified time point. Survival analysis, using a Cox proportional hazards model, was used to examine the time taken to withdraw a dog from training. Sex, breed, and other factors affected time to withdrawal. Bitches were withdrawn faster than dogs, Labradors were withdrawn faster, and Labrador × Golden Retrievers slower, than Golden Retriever × Labradors; and dogs not bred by Guide Dogs were withdrawn faster than those bred by Guide Dogs. Multistate modeling (MSM) can be used as an extension of survival analysis to incorporate more than two discrete events or states. Multistate models were used to investigate transitions between states of training to qualification as a guide dog or behavioral withdrawal, and from qualification as a guide dog to behavioral withdrawal. Sex, breed (with purebred Labradors and Golden retrievers differing from F1 crosses), and bred by Guide Dogs or not, effected movements between states. We postulate that survival analysis and MSM could be applied to a wide range of behavioral data and key examples are provided.

  2. Head Motion Modeling for Human Behavior Analysis in Dyadic Interaction.

    Science.gov (United States)

    Xiao, Bo; Georgiou, Panayiotis; Baucom, Brian; Narayanan, Shrikanth S

    2015-07-13

    This paper presents a computational study of head motion in human interaction, notably of its role in conveying interlocutors' behavioral characteristics. Head motion is physically complex and carries rich information; current modeling approaches based on visual signals, however, are still limited in their ability to adequately capture these important properties. Guided by the methodology of kinesics, we propose a data driven approach to identify typical head motion patterns. The approach follows the steps of first segmenting motion events, then parametrically representing the motion by linear predictive features, and finally generalizing the motion types using Gaussian mixture models. The proposed approach is experimentally validated using video recordings of communication sessions from real couples involved in a couples therapy study. In particular we use the head motion model to classify binarized expert judgments of the interactants' specific behavioral characteristics where entrainment in head motion is hypothesized to play a role: Acceptance, Blame, Positive , and Negative behavior. We achieve accuracies in the range of 60% to 70% for the various experimental settings and conditions. In addition, we describe a measure of motion similarity between the interaction partners based on the proposed model. We show that the relative change of head motion similarity during the interaction significantly correlates with the expert judgments of the interactants' behavioral characteristics. These findings demonstrate the effectiveness of the proposed head motion model, and underscore the promise of analyzing human behavioral characteristics through signal processing methods.

  3. Increasing our understanding of human cognition through the study of Fragile X Syndrome.

    Science.gov (United States)

    Cook, Denise; Nuro, Erin; Murai, Keith K

    2014-02-01

    Fragile X Syndrome (FXS) is considered the most common form of inherited intellectual disability. It is caused by reductions in the expression level or function of a single protein, the Fragile X Mental Retardation Protein (FMRP), a translational regulator which binds to approximately 4% of brain messenger RNAs. Accumulating evidence suggests that FXS is a complex disorder of cognition, involving interactions between genetic and environmental influences, leading to difficulties in acquiring key life skills including motor skills, language, and proper social behaviors. Since many FXS patients also present with one or more features of autism spectrum disorders (ASDs), insights gained from studying the monogenic basis of FXS could pave the way to a greater understanding of underlying features of multigenic ASDs. Here we present an overview of the FXS and FMRP field with the goal of demonstrating how loss of a single protein involved in translational control affects multiple stages of brain development and leads to debilitating consequences on human cognition. We also focus on studies which have rescued or improved FXS symptoms in mice using genetic or therapeutic approaches to reduce protein expression. We end with a brief description of how deficits in translational control are implicated in FXS and certain cases of ASDs, with many recent studies demonstrating that ASDs are likely caused by increases or decreases in the levels of certain key synaptic proteins. The study of FXS and its underlying single genetic cause offers an invaluable opportunity to study how a single gene influences brain development and behavior. Copyright © 2013 Wiley Periodicals, Inc.

  4. Increasing our Understanding of Human Cognition Through the Study of Fragile X Syndrome

    Science.gov (United States)

    Denise, Cook; Erin, Nuro; Keith, K. Murai

    2014-01-01

    Fragile X Syndrome (FXS) is considered the most common form of inherited intellectual disability. It is caused by reductions in the expression level or function of a single protein, the Fragile X Mental Retardation Protein (FMRP), a translational regulator which binds to approximately 4% of brain messenger RNAs. Accumulating evidence suggests that FXS is a complex disorder of cognition, involving interactions between genetic and environmental influences, leading to difficulties in acquiring key life skills including motor skills, language, and proper social behaviors. Since many FXS patients also present with one or more features of autism spectrum disorders (ASDs), insights gained from studying the monogenic basis of FXS could pave the way to a greater understanding of underlying features of multigenic ASDs. Here we present an overview of the FXS and FMRP field with the goal of demonstrating how loss of a single protein involved in translational control affects multiple stages of brain development and leads to debilitating consequences on human cognition. We also focus on studies which have rescued or improved FXS symptoms in mice using genetic or therapeutic approaches to reduce protein expression. We end with a brief description of how deficits in translational control are implicated in FXS and certain cases of ASDs, with many recent studies demonstrating that ASDs are likely caused by increases or decreases in the levels of certain key synaptic proteins. The study of FXS and its underlying single genetic cause offers an invaluable opportunity to study how a single gene influences brain development and behavior. © 2013 The Authors. Developmental Neurobiology Published by Wiley Periodicals, Inc. Develop Neurobiol 74: 147–177, 2014 PMID:23723176

  5. Educational Cooperation between Thailand and Cambodia: Outcomes on Human Development, International Understanding and Future Prospect

    Science.gov (United States)

    Kijtorntham, Wichuda; Ruangdej, Phumjit; Saisuwan, Chatchanog

    2015-01-01

    Thailand and Cambodia set up educational cooperation since 1996, before signed a Memorandum of Understanding on Cooperation in the Promotion of Education in 2003. This research aimed to investigate outcomes of educational cooperation projects on Cambodia human development and international understanding, process of participatory learning and…

  6. Discrimination of complex human behavior by pigeons (Columba livia and humans.

    Directory of Open Access Journals (Sweden)

    Muhammad A J Qadri

    Full Text Available The cognitive and neural mechanisms for recognizing and categorizing behavior are not well understood in non-human animals. In the current experiments, pigeons and humans learned to categorize two non-repeating, complex human behaviors ("martial arts" vs. "Indian dance". Using multiple video exemplars of a digital human model, pigeons discriminated these behaviors in a go/no-go task and humans in a choice task. Experiment 1 found that pigeons already experienced with discriminating the locomotive actions of digital animals acquired the discrimination more rapidly when action information was available than when only pose information was available. Experiments 2 and 3 found this same dynamic superiority effect with naïve pigeons and human participants. Both species used the same combination of immediately available static pose information and more slowly perceived dynamic action cues to discriminate the behavioral categories. Theories based on generalized visual mechanisms, as opposed to embodied, species-specific action networks, offer a parsimonious account of how these different animals recognize behavior across and within species.

  7. Expanding the Scope of Organizational Behavior Management: Relational Frame Theory and the Experimental Analysis of Complex Human Behavior

    Science.gov (United States)

    Hayes, Steven C.; Bunting, Kara; Herbst, Scott; Bond, Frank W.; Barnes-Holmes, Dermot

    2006-01-01

    Behavior analysis in general and applied behavior analysis in particular requires a well developed, empirically supported, and useful approach to human language and cognition in order to fulfill its mission of providing a relatively adequate comprehensive account of complex human behavior. This article introduces a series of articles in which the…

  8. Ad cerebrum per scientia: Ira Hirsh, psychoacoustics, and new approaches to understanding the human brain

    Science.gov (United States)

    Lauter, Judith

    2002-05-01

    As Research Director of CID, Ira emphasized the importance of combining information from biology with rigorous studies of behavior, such as psychophysics, to better understand how the brain and body accomplish the goals of everyday life. In line with this philosophy, my doctoral dissertation sought to explain brain functional asymmetries (studied with dichotic listening) in terms of the physical dimensions of a library of test sounds designed to represent a speech-music continuum. Results highlighted individual differences plus similarities in terms of patterns of relative ear advantages, suggesting an organizational basis for brain asymmetries depending on physical dimensions of stimulus and gesture with analogs in auditory, visual, somatosensory, and motor systems. My subsequent work has employed a number of noninvasive methods (OAEs, EPs, qEEG, PET, MRI) to explore the neurobiological bases of individual differences in general and functional asymmetries in particular. This research has led to (1) the AXS test battery for assessing the neurobiology of human sensory-motor function; (2) the handshaking model of brain function, describing dynamic relations along all three body/brain axes; (3) the four-domain EPIC model of functional asymmetries; and (4) the trimodal brain, a new model of individual differences based on psychoimmunoneuroendocrinology.

  9. Behavioral responses associated with a human-mediated predator shelter.

    Directory of Open Access Journals (Sweden)

    Graeme Shannon

    Full Text Available Human activities in protected areas can affect wildlife populations in a similar manner to predation risk, causing increases in movement and vigilance, shifts in habitat use and changes in group size. Nevertheless, recent evidence indicates that in certain situations ungulate species may actually utilize areas associated with higher levels of human presence as a potential refuge from disturbance-sensitive predators. We now use four-years of behavioral activity budget data collected from pronghorn (Antilocapra americana and elk (Cervus elephus in Grand Teton National Park, USA to test whether predictable patterns of human presence can provide a shelter from predatory risk. Daily behavioral scans were conducted along two parallel sections of road that differed in traffic volume--with the main Teton Park Road experiencing vehicle use that was approximately thirty-fold greater than the River Road. At the busier Teton Park Road, both species of ungulate engaged in higher levels of feeding (27% increase in the proportion of pronghorn feeding and 21% increase for elk, lower levels of alert behavior (18% decrease for pronghorn and 9% decrease for elk and formed smaller groups. These responses are commonly associated with reduced predatory threat. Pronghorn also exhibited a 30% increase in the proportion of individuals moving at the River Road as would be expected under greater exposure to predation risk. Our findings concur with the 'predator shelter hypothesis', suggesting that ungulates in GTNP use human presence as a potential refuge from predation risk, adjusting their behavior accordingly. Human activity has the potential to alter predator-prey interactions and drive trophic-mediated effects that could ultimately impact ecosystem function and biodiversity.

  10. The Humanism of Rational Emotive Behavior Therapy and Other Cognitive Behavior Therapies.

    Science.gov (United States)

    Ellis, Albert

    1996-01-01

    Describes aspects of rational emotive behavior therapy (REBT). REBT shows how people can both create and uncreate many of their emotional disturbances. It is a theory of personality which avoids devotion to any kind of magic and supernaturalism and emphasizes unconditional self-acceptance, antiabsolutism, uncertainty, and human fallibility. (RJM)

  11. Using ontologies to model human navigation behavior in information networks: A study based on Wikipedia.

    Science.gov (United States)

    Lamprecht, Daniel; Strohmaier, Markus; Helic, Denis; Nyulas, Csongor; Tudorache, Tania; Noy, Natalya F; Musen, Mark A

    The need to examine the behavior of different user groups is a fundamental requirement when building information systems. In this paper, we present Ontology-based Decentralized Search (OBDS), a novel method to model the navigation behavior of users equipped with different types of background knowledge. Ontology-based Decentralized Search combines decentralized search, an established method for navigation in social networks, and ontologies to model navigation behavior in information networks. The method uses ontologies as an explicit representation of background knowledge to inform the navigation process and guide it towards navigation targets. By using different ontologies, users equipped with different types of background knowledge can be represented. We demonstrate our method using four biomedical ontologies and their associated Wikipedia articles. We compare our simulation results with base line approaches and with results obtained from a user study. We find that our method produces click paths that have properties similar to those originating from human navigators. The results suggest that our method can be used to model human navigation behavior in systems that are based on information networks, such as Wikipedia. This paper makes the following contributions: (i) To the best of our knowledge, this is the first work to demonstrate the utility of ontologies in modeling human navigation and (ii) it yields new insights and understanding about the mechanisms of human navigation in information networks.

  12. Understanding compressive deformation behavior of porous Ti using finite element analysis

    Energy Technology Data Exchange (ETDEWEB)

    Roy, Sandipan; Khutia, Niloy [Department of Aerospace Engineering and Applied Mechanics, Indian Institute of Engineering Science and Technology, Shibpur (India); Das, Debdulal [Department of Metallurgy and Materials Engineering, Indian Institute of Engineering Science and Technology, Shibpur (India); Das, Mitun, E-mail: mitun@cgcri.res.in [Bioceramics and Coating Division, CSIR-Central Glass and Ceramic Research Institute, Kolkata (India); Balla, Vamsi Krishna [Bioceramics and Coating Division, CSIR-Central Glass and Ceramic Research Institute, Kolkata (India); Bandyopadhyay, Amit [W. M. Keck Biomedical Materials Research Laboratory, School of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164 (United States); Chowdhury, Amit Roy, E-mail: arcbesu@gmail.com [Department of Aerospace Engineering and Applied Mechanics, Indian Institute of Engineering Science and Technology, Shibpur (India)

    2016-07-01

    In the present study, porous commercially pure (CP) Ti samples with different volume fraction of porosities were fabricated using a commercial additive manufacturing technique namely laser engineered net shaping (LENS™). Mechanical behavior of solid and porous samples was evaluated at room temperature under quasi-static compressive loading. Fracture surfaces of the failed samples were analyzed to determine the failure modes. Finite Element (FE) analysis using representative volume element (RVE) model and micro-computed tomography (CT) based model have been performed to understand the deformation behavior of laser deposited solid and porous CP-Ti samples. In vitro cell culture on laser processed porous CP-Ti surfaces showed normal cell proliferation with time, and confirmed non-toxic nature of these samples. - Highlights: • Porous CP-Ti samples fabricated using additive manufacturing technique • Compressive deformation behavior of porous samples closely matches with micro-CT and RVE based analysis • In vitro studies showed better cell proliferation with time on porous CP-Ti surfaces.

  13. Understanding why low-risk patients accept vaccines: a socio-behavioral approach.

    Science.gov (United States)

    Wiemken, Timothy L; Carrico, Ruth M; Kelley, Robert R; Binford, Laura E; Peyrani, Paula; Ford, Kimbal D; Welch, Verna; Ramirez, Julio A

    2015-12-23

    Vaccines are one of the most important public health interventions. Understanding factors associated with vaccine acceptance is critical. The objectives of this study were to evaluate the impact of the three constructs of the Theory of Planned Behavior (TPB) on the intention to be vaccinated among healthy individuals being seen for pre-travel care, and to evaluate if behavioral intention was associated with vaccine acceptance. We surveyed individuals seeking vaccination at the University of Louisville Vaccine and International Health and Travel Clinic. Linear and two stage least squares regression models were used to define the associations between constructs of the TPB and the intention to be vaccinated, as well as the association between the intention to be vaccinated and vaccine acceptance. A total of 183 individuals were included in the analysis. None of the constructs of the TPB were associated with intention to be vaccinated. Behavioral intention was not associated with vaccination acceptance. This study suggests that the TPB does not predict the intention to get vaccinated among individuals attending our Vaccine and International Health and Travel Clinic. It will be critical to define better predictors of vaccine uptake in healthy, low-risk individuals to increase vaccine acceptance.

  14. Understanding the effects of stress and alcohol cues on motivation for alcohol via behavioral economics.

    Science.gov (United States)

    Amlung, Michael; MacKillop, James

    2014-06-01

    Psychological stress and alcohol cues are common antecedents of both ongoing drinking and relapse. One candidate mechanism of risk from these factors is acute increases in craving, but experimental support for this hypothesis is mixed. Furthermore, the combination of stress and cues has been largely unstudied. The current study employed a behavioral economic approach to investigate the combined roles of psychosocial stress and alcohol cues on motivation for alcohol. In a sample of 84 adult heavy drinkers, we examined the effects of an acute laboratory stress induction and an alcohol cue exposure on subjective craving and stress, arousal, and behavioral economic decision making. Primary dependent measures included an intertemporal cross-commodity multiple-choice procedure (ICCMCP), incorporating both price and delay elements, an alcohol purchase task (APT), measuring alcohol demand, and a monetary delay discounting task, measuring intertemporal choice. The stress induction significantly increased stress, craving, and the incentive value of alcohol on the ICCMCP and APT. Stress-related increases in value on the ICCMCP were mediated by increased alcohol demand. Exposure to alcohol cues only significantly affected craving, APT breakpoint, and arousal. Delay discounting was not affected by either stress or cues. These results reveal unique behavioral economic dimensions of motivation for alcohol following acute stress and an alcohol cue exposure. More broadly, as the first application of this approach to understanding the role of stress in drug motivation, these findings support its utility and potential in future applications. Copyright © 2014 by the Research Society on Alcoholism.

  15. Understanding compressive deformation behavior of porous Ti using finite element analysis

    International Nuclear Information System (INIS)

    Roy, Sandipan; Khutia, Niloy; Das, Debdulal; Das, Mitun; Balla, Vamsi Krishna; Bandyopadhyay, Amit; Chowdhury, Amit Roy

    2016-01-01

    In the present study, porous commercially pure (CP) Ti samples with different volume fraction of porosities were fabricated using a commercial additive manufacturing technique namely laser engineered net shaping (LENS™). Mechanical behavior of solid and porous samples was evaluated at room temperature under quasi-static compressive loading. Fracture surfaces of the failed samples were analyzed to determine the failure modes. Finite Element (FE) analysis using representative volume element (RVE) model and micro-computed tomography (CT) based model have been performed to understand the deformation behavior of laser deposited solid and porous CP-Ti samples. In vitro cell culture on laser processed porous CP-Ti surfaces showed normal cell proliferation with time, and confirmed non-toxic nature of these samples. - Highlights: • Porous CP-Ti samples fabricated using additive manufacturing technique • Compressive deformation behavior of porous samples closely matches with micro-CT and RVE based analysis • In vitro studies showed better cell proliferation with time on porous CP-Ti surfaces

  16. Towards an integrative understanding of social behavior: new models and new opportunities

    Directory of Open Access Journals (Sweden)

    Daniel T Blumstein

    2010-06-01

    Full Text Available Social interactions among conspecifics are a fundamental and adaptively significant component of the biology of numerous species. Such interactions give rise to group living as well as many of the complex forms of cooperation and conflict that occur within animal groups. Although previous conceptual models have focused on the ecological causes and fitness consequences of variation in social interactions, recent developments in endocrinology, neuroscience, and molecular genetics offer exciting opportunities to develop more integrated research programs that will facilitate new insights into the physiological causes and consequences of social variation. Here, we propose an integrative framework of social behavior that emphasizes relationships between ultimate-level function and proximate-level mechanism, thereby providing a foundation for exploring the full diversity of factors that underlie variation in social interactions, and ultimately sociality. In addition to identifying new model systems for the study of human psychopathologies, this framework provides a mechanistic basis for predicting how social behavior will change in response to environmental variation. We argue that the study of non-model organisms is essential for implementing this integrative model of social behavior because such species can be studied simultaneously in the lab and field, thereby allowing integration of rigorously controlled experimental manipulations with detailed observations of the ecological contexts in which interactions among conspecifics occur.

  17. Toward an Integrative Understanding of Social Behavior: New Models and New Opportunities

    Science.gov (United States)

    Blumstein, Daniel T.; Ebensperger, Luis A.; Hayes, Loren D.; Vásquez, Rodrigo A.; Ahern, Todd H.; Burger, Joseph Robert; Dolezal, Adam G.; Dosmann, Andy; González-Mariscal, Gabriela; Harris, Breanna N.; Herrera, Emilio A.; Lacey, Eileen A.; Mateo, Jill; McGraw, Lisa A.; Olazábal, Daniel; Ramenofsky, Marilyn; Rubenstein, Dustin R.; Sakhai, Samuel A.; Saltzman, Wendy; Sainz-Borgo, Cristina; Soto-Gamboa, Mauricio; Stewart, Monica L.; Wey, Tina W.; Wingfield, John C.; Young, Larry J.

    2010-01-01

    Social interactions among conspecifics are a fundamental and adaptively significant component of the biology of numerous species. Such interactions give rise to group living as well as many of the complex forms of cooperation and conflict that occur within animal groups. Although previous conceptual models have focused on the ecological causes and fitness consequences of variation in social interactions, recent developments in endocrinology, neuroscience, and molecular genetics offer exciting opportunities to develop more integrated research programs that will facilitate new insights into the physiological causes and consequences of social variation. Here, we propose an integrative framework of social behavior that emphasizes relationships between ultimate-level function and proximate-level mechanism, thereby providing a foundation for exploring the full diversity of factors that underlie variation in social interactions, and ultimately sociality. In addition to identifying new model systems for the study of human psychopathologies, this framework provides a mechanistic basis for predicting how social behavior will change in response to environmental variation. We argue that the study of non-model organisms is essential for implementing this integrative model of social behavior because such species can be studied simultaneously in the lab and field, thereby allowing integration of rigorously controlled experimental manipulations with detailed observations of the ecological contexts in which interactions among conspecifics occur. PMID:20661457

  18. Accommodating complexity and human behaviors in decision analysis.

    Energy Technology Data Exchange (ETDEWEB)

    Backus, George A.; Siirola, John Daniel; Schoenwald, David Alan; Strip, David R.; Hirsch, Gary B.; Bastian, Mark S.; Braithwaite, Karl R.; Homer, Jack [Homer Consulting

    2007-11-01

    This is the final report for a LDRD effort to address human behavior in decision support systems. One sister LDRD effort reports the extension of this work to include actual human choices and additional simulation analyses. Another provides the background for this effort and the programmatic directions for future work. This specific effort considered the feasibility of five aspects of model development required for analysis viability. To avoid the use of classified information, healthcare decisions and the system embedding them became the illustrative example for assessment.

  19. Sensitivity analysis techniques for models of human behavior.

    Energy Technology Data Exchange (ETDEWEB)

    Bier, Asmeret Brooke

    2010-09-01

    Human and social modeling has emerged as an important research area at Sandia National Laboratories due to its potential to improve national defense-related decision-making in the presence of uncertainty. To learn about which sensitivity analysis techniques are most suitable for models of human behavior, different promising methods were applied to an example model, tested, and compared. The example model simulates cognitive, behavioral, and social processes and interactions, and involves substantial nonlinearity, uncertainty, and variability. Results showed that some sensitivity analysis methods create similar results, and can thus be considered redundant. However, other methods, such as global methods that consider interactions between inputs, can generate insight not gained from traditional methods.

  20. Deformation Behavior of Human Dentin under Uniaxial Compression

    Directory of Open Access Journals (Sweden)

    Dmitry Zaytsev

    2012-01-01

    Full Text Available Deformation behavior of a human dentin under compression including size and rate effects is studied. No difference between mechanical properties of crown and root dentin is found. It is mechanically isotropic high elastic and strong hard tissue, which demonstrates considerable plasticity and ability to suppress a crack growth. Mechanical properties of dentin depend on a shape of samples and a deformation rate.

  1. Training together: how another human's presence affects behavior during virtual human-based team training

    Directory of Open Access Journals (Sweden)

    Andrew Robb

    2016-08-01

    Full Text Available Despite research showing that team training can lead to strong improvements in team performance, logistical difficulties can prevent team training programs from being adopted on a large scale. A proposed solution to these difficulties is the use of virtual humans to replace missing teammates. Existing research evaluating the use of virtual humans for team training has been conducted in settings involving a single human trainee. However, in the real world multiple human trainees would most likely train together. In this paper, we explore how the presence of a second human trainee can alter behavior during a medical team training program. Ninety-two nurses and surgical technicians participated in a medical training exercise, where they worked with a virtual surgeon and virtual anesthesiologist to prepare a simulated patient for surgery. The agency of the nurse and the surgical technician were varied between three conditions: human nurses and surgical technicians working together; human nurses working with a virtual surgical technician; and human surgical technicians working with a virtual nurse. Variations in agency did not produce statistically significant differences in the training outcomes, but several notable differences were observed in other aspects of the team's behavior. Specifically, when working with a virtual nurse, human surgical technicians were more likely to assist with speaking up about patient safety issues that were outside of their normal responsibilities; human trainees spent less time searching for a missing item when working with a virtual partner, likely because the virtual partner was physically unable to move throughout the room and assist with the searching process; and more breaks in presence were observed when two human teammates were present. These results show that some behaviors may be influenced by the presence of multiple human trainees, though these behaviors may not impinge on core training goals. When

  2. The human factor: behavioral and neural correlates of humanized perception in moral decision making.

    Science.gov (United States)

    Majdandžić, Jasminka; Bauer, Herbert; Windischberger, Christian; Moser, Ewald; Engl, Elisabeth; Lamm, Claus

    2012-01-01

    The extent to which people regard others as full-blown individuals with mental states ("humanization") seems crucial for their prosocial motivation towards them. Previous research has shown that decisions about moral dilemmas in which one person can be sacrificed to save multiple others do not consistently follow utilitarian principles. We hypothesized that this behavior can be explained by the potential victim's perceived humanness and an ensuing increase in vicarious emotions and emotional conflict during decision making. Using fMRI, we assessed neural activity underlying moral decisions that affected fictitious persons that had or had not been experimentally humanized. In implicit priming trials, participants either engaged in mentalizing about these persons (Humanized condition) or not (Neutral condition). In subsequent moral dilemmas, participants had to decide about sacrificing these persons' lives in order to save the lives of numerous others. Humanized persons were sacrificed less often, and the activation pattern during decisions about them indicated increased negative affect, emotional conflict, vicarious emotions, and behavioral control (pgACC/mOFC, anterior insula/IFG, aMCC and precuneus/PCC). Besides, we found enhanced effective connectivity between aMCC and anterior insula, which suggests increased emotion regulation during decisions affecting humanized victims. These findings highlight the importance of others' perceived humanness for prosocial behavior - with aversive affect and other-related concern when imagining harming more "human-like" persons acting against purely utilitarian decisions.

  3. Human behavior recognition using a context-free grammar

    Science.gov (United States)

    Rosani, Andrea; Conci, Nicola; De Natale, Francesco G. B.

    2014-05-01

    Automatic recognition of human activities and behaviors is still a challenging problem for many reasons, including limited accuracy of the data acquired by sensing devices, high variability of human behaviors, and gap between visual appearance and scene semantics. Symbolic approaches can significantly simplify the analysis and turn raw data into chains of meaningful patterns. This allows getting rid of most of the clutter produced by low-level processing operations, embedding significant contextual information into the data, as well as using simple syntactic approaches to perform the matching between incoming sequences and models. We propose a symbolic approach to learn and detect complex activities through the sequences of atomic actions. Compared to previous methods based on context-free grammars, we introduce several important novelties, such as the capability to learn actions based on both positive and negative samples, the possibility of efficiently retraining the system in the presence of misclassified or unrecognized events, and the use of a parsing procedure that allows correct detection of the activities also when they are concatenated and/or nested one with each other. An experimental validation on three datasets with different characteristics demonstrates the robustness of the approach in classifying complex human behaviors.

  4. Human organomics: a fresh approach to understanding human development using single-cell transcriptomics.

    Science.gov (United States)

    Camp, J Gray; Treutlein, Barbara

    2017-05-01

    Innovative methods designed to recapitulate human organogenesis from pluripotent stem cells provide a means to explore human developmental biology. New technologies to sequence and analyze single-cell transcriptomes can deconstruct these 'organoids' into constituent parts, and reconstruct lineage trajectories during cell differentiation. In this Spotlight article we summarize the different approaches to performing single-cell transcriptomics on organoids, and discuss the opportunities and challenges of applying these techniques to generate organ-level, mechanistic models of human development and disease. Together, these technologies will move past characterization to the prediction of human developmental and disease-related phenomena. © 2017. Published by The Company of Biologists Ltd.

  5. What Does It Mean to Understand Human Rights as Essentially ‘Triggers for Intervention’?

    Directory of Open Access Journals (Sweden)

    Hawre Hasan Hama

    2017-12-01

    Full Text Available Traditional theories of human rights regard human rights to be equivalent to universal moral rights. They also claim that human rights are justified by an appeal to some valuable aspect of human nature. These approaches, however, have been strongly challenged by the political theory of human rights. The latter derived from John Rawls’s conception of human rights in his famous work, Law of Peoples, argues that human rights are not equivalent to our universal moral rights, but are a subset of those rights: they are those rights that once violated lead to an erosion of state sovereignty, thus acting as ‘triggers for intervention’. This article mainly discusses the political conception of human rights to explain this question; what does it mean to understand human rights in the ways that their violations lead to intervention? Furthermore, the article strongly argues that such understanding of human rights is neither accurate nor helpful for reasons that will be mentioned in chapter two.

  6. Discriminating Drivers through Human Factor and Behavioral Difference

    Directory of Open Access Journals (Sweden)

    Ju Seok Oh

    2011-05-01

    Full Text Available Since Greenwood and Woods' (1919 study in tendency of accident, many researchers have insisted that various human factors (sensation seeking, anger, anxiety are highly correlated with reckless driving and traffic accidents. Oh and Lee (2011 designed the Driving Behavior Determinants Questionnaire, a psychological tool to predict danger level of drivers and discriminate them into three groups (normal, unintentionally reckless, and intentionally reckless by their characteristics, attitude, and expected reckless behavior level. This tool's overall accuracy of discrimination was 70%. This study aimed to prove that the discrimination reflects the behavioral difference of drivers. Twenty-four young drivers were requested to react to the visual stimuli (tests for subjective speed sense, simple visual reaction time, and left turning at own risk. The results showed no differences in subjective speed sense among the driver groups, which means drivers' excessive speeding behaviors occur due to intention based on personality and attitude, not because of sensory disorders. In addition, there were no differences in simple reaction time among driver groups. However, the results of the ‘Left turning at drivers’ own risk task” revealed significant group differences. All reckless drivers showed a greater degree of dangerous left turning behaviors than the normal group did.

  7. Pilot-Induced Oscillations and Human Dynamic Behavior

    Science.gov (United States)

    McRuer, Duane T.

    1995-01-01

    This is an in-depth survey and study of pilot-induced oscillations (PIO's) as interactions between human pilot and vehicle dynamics; it includes a broad and comprehensive theory of PIO's. A historical perspective provides examples of the diversity of PIO's in terms of control axes and oscillation frequencies. The constituents involved in PIO phenomena, including effective aircraft dynamics, human pilot dynamic behavior patterns, and triggering precursor events, are examined in detail as the structural elements interacting to produce severe pilot-induced oscillations. The great diversity of human pilot response patterns, excessive lags and/or inappropriate gain in effective aircraft dynamics, and transitions in either the human or effective aircraft dynamics are among the key sources implicated as factors in severe PIO's. The great variety of interactions which may result in severe PIO's is illustrated by examples drawn from famous PIO's. These are generalized under a pilot-behavior-theory-based set of categories proposed as a classification scheme pertinent to a theory of PIO's. Finally, a series of interim prescriptions to avoid PIO is provided.

  8. Applied Behavior Analysis, Autism, and Occupational Therapy: A Search for Understanding.

    Science.gov (United States)

    Welch, Christie D; Polatajko, H J

    2016-01-01

    Occupational therapists strive to be mindful, competent practitioners and continuously look for ways to improve practice. Applied behavior analysis (ABA) has strong evidence of effectiveness in helping people with autism achieve goals, yet it does not seem to be implemented in occupational therapy practice. To better understand whether ABA could be an evidence-based option to expand occupational therapy practice, the authors conducted an iterative, multiphase investigation of relevant literature. Findings suggest that occupational therapists apply developmental and sensory approaches to autism treatment. The occupational therapy literature does not reflect any use of ABA despite its strong evidence base. Occupational therapists may currently avoid using ABA principles because of a perception that ABA is not client centered. ABA principles and occupational therapy are compatible, and the two could work synergistically. Copyright © 2016 by the American Occupational Therapy Association, Inc.

  9. Understanding Information Seeking Behavior of Indonesian Postgraduate Students in Malaysian Universities: An Empirical Study

    Directory of Open Access Journals (Sweden)

    Muhammad Subhan

    2013-12-01

    Full Text Available Abstract : This study investigates Indonesian postgraduate student’s experience at the pre-sessional program of the process of seeking information and the strategies they used throughout the process. The objective is to understand their information seeking behavior particularly academic-related information in order to improve the effectiveness of educational communication in Malaysia higher institutions. Two research questions are addressed: what experiences do pre-sessional students face in the process of information seeking that can be articulated and described? What stages do pre-sessional students experience in the process of information seeking construction? Using the qualitative method, the study found that the pre-sessional students have different patterns in the constructive process of information seeking in two different groups i.e. writing and reading classes. Six stages and four stages of the search process were identified respectively for the two groups.

  10. Analysis of Online Social Networks to Understand Information Sharing Behaviors Through Social Cognitive Theory

    Energy Technology Data Exchange (ETDEWEB)

    Yoon, Hong-Jun [ORNL; Tourassi, Georgia [ORNL

    2014-01-01

    Analyzing the contents of online social networks is an effective process for monitoring and understanding peoples behaviors. Since the nature of conversation and information propagation is similar to traditional conversation and learning, one of the popular socio-cognitive methods, social cognitive theory was applied to online social networks to. Two major news topics about colon cancer were chosen to monitor traffic of Twitter messages. The activity of leaders on the issue (i.e., news companies or people will prior Twitter activity on topics related to colon cancer) was monitored. In addition, the activity of followers , people who never discussed the topics before, but replied to the discussions was also monitored. Topics that produce tangible benefits such as positive outcomes from appropriate preventive actions received dramatically more attention and online social media traffic. Such characteristics can be explained with social cognitive theory and thus present opportunities for effective health campaigns.

  11. Analysis of Online Social Networks to Understand Information Sharing Behaviors Through Social Cognitive Theory.

    Science.gov (United States)

    Yoon, Hong-Jun; Tourassi, Georgia

    2014-05-01

    Analyzing the contents of online social networks is an effective process for monitoring and understanding peoples' behaviors. Since the nature of conversation and information propagation is similar to traditional conversation and learning, one of the popular socio-cognitive methods, social cognitive theory was applied to online social networks to. Two major news topics about colon cancer were chosen to monitor traffic of Twitter messages. The activity of "leaders" on the issue (i.e., news companies or people will prior Twitter activity on topics related to colon cancer) was monitored. In addition, the activity of "followers", people who never discussed the topics before, but replied to the discussions was also monitored. Topics that produce tangible benefits such as positive outcomes from appropriate preventive actions received dramatically more attention and online social media traffic. Such characteristics can be explained with social cognitive theory and thus present opportunities for effective health campaigns.

  12. Recognition and localization of relevant human behavior in videos

    Science.gov (United States)

    Bouma, Henri; Burghouts, Gertjan; de Penning, Leo; Hanckmann, Patrick; ten Hove, Johan-Martijn; Korzec, Sanne; Kruithof, Maarten; Landsmeer, Sander; van Leeuwen, Coen; van den Broek, Sebastiaan; Halma, Arvid; den Hollander, Richard; Schutte, Klamer

    2013-06-01

    Ground surveillance is normally performed by human assets, since it requires visual intelligence. However, especially for military operations, this can be dangerous and is very resource intensive. Therefore, unmanned autonomous visualintelligence systems are desired. In this paper, we present an improved system that can recognize actions of a human and interactions between multiple humans. Central to the new system is our agent-based architecture. The system is trained on thousands of videos and evaluated on realistic persistent surveillance data in the DARPA Mind's Eye program, with hours of videos of challenging scenes. The results show that our system is able to track the people, detect and localize events, and discriminate between different behaviors, and it performs 3.4 times better than our previous system.

  13. Following Human Footsteps: Proposal of a Decision Theory Based on Human Behavior

    Science.gov (United States)

    Mahmud, Faisal

    2011-01-01

    Human behavior is a complex nature which depends on circumstances and decisions varying from time to time as well as place to place. The way a decision is made either directly or indirectly related to the availability of the options. These options though appear at random nature, have a solid directional way for decision making. In this paper, a decision theory is proposed which is based on human behavior. The theory is structured with model sets that will show the all possible combinations for making a decision, A virtual and simulated environment is considered to show the results of the proposed decision theory

  14. Human motion behavior while interacting with an industrial robot.

    Science.gov (United States)

    Bortot, Dino; Ding, Hao; Antonopolous, Alexandros; Bengler, Klaus

    2012-01-01

    Human workers and industrial robots both have specific strengths within industrial production. Advantageously they complement each other perfectly, which leads to the development of human-robot interaction (HRI) applications. Bringing humans and robots together in the same workspace may lead to potential collisions. The avoidance of such is a central safety requirement. It can be realized with sundry sensor systems, all of them decelerating the robot when the distance to the human decreases alarmingly and applying the emergency stop, when the distance becomes too small. As a consequence, the efficiency of the overall systems suffers, because the robot has high idle times. Optimized path planning algorithms have to be developed to avoid that. The following study investigates human motion behavior in the proximity of an industrial robot. Three different kinds of encounters between the two entities under three robot speed levels are prompted. A motion tracking system is used to capture the motions. Results show, that humans keep an average distance of about 0,5m to the robot, when the encounter occurs. Approximation of the workbenches is influenced by the robot in ten of 15 cases. Furthermore, an increase of participants' walking velocity with higher robot velocities is observed.

  15. Advancing our understanding of religion and spirituality in the context of behavioral medicine.

    Science.gov (United States)

    Park, Crystal L; Masters, Kevin S; Salsman, John M; Wachholtz, Amy; Clements, Andrea D; Salmoirago-Blotcher, Elena; Trevino, Kelly; Wischenka, Danielle M

    2017-02-01

    Recognizing and understanding the potentially powerful roles that religiousness and spirituality (RS) may serve in the prevention and amelioration of disease, as well as symptom management and health related quality of life, significantly enhances research and clinical efforts across many areas of behavioral medicine. This article examines the knowledge established to date and suggests advances that remain to be made. We begin with a brief summary of the current knowledge regarding RS as related to three exemplary health conditions: (a) cardiovascular disease; (b) cancer; and, (c) substance abuse. We then focus on particular concerns for future investigations, emphasizing conceptual issues, possible mediators and moderators of relationships or effects, and methodology. Our discussion is framed by a conceptual model that may serve to guide and organize future investigations. This model highlights a number of important issues regarding the study of links between RS and health: (a) RS comprise many diverse constructs, (b) the mechanisms through which RS may influence health outcomes are quite diverse, and (c) a range of different types of health and health relevant outcomes may be influenced by RS. The multidimensional nature of RS and the complexity of related associations with different types of health relevant outcomes present formidable challenges to empirical study in behavioral medicine. These issues are referred to throughout our review and we suggest several solutions to the presented challenges in our summary. We end with a presentation of barriers to be overcome, along with strategies for doing so, and concluding thoughts.

  16. Computational Intelligence-Assisted Understanding of Nature-Inspired Superhydrophobic Behavior.

    Science.gov (United States)

    Zhang, Xia; Ding, Bei; Cheng, Ran; Dixon, Sebastian C; Lu, Yao

    2018-01-01

    In recent years, state-of-the-art computational modeling of physical and chemical systems has shown itself to be an invaluable resource in the prediction of the properties and behavior of functional materials. However, construction of a useful computational model for novel systems in both academic and industrial contexts often requires a great depth of physicochemical theory and/or a wealth of empirical data, and a shortage in the availability of either frustrates the modeling process. In this work, computational intelligence is instead used, including artificial neural networks and evolutionary computation, to enhance our understanding of nature-inspired superhydrophobic behavior. The relationships between experimental parameters (water droplet volume, weight percentage of nanoparticles used in the synthesis of the polymer composite, and distance separating the superhydrophobic surface and the pendant water droplet in adhesive force measurements) and multiple objectives (water droplet contact angle, sliding angle, and adhesive force) are built and weighted. The obtained optimal parameters are consistent with the experimental observations. This new approach to materials modeling has great potential to be applied more generally to aid design, fabrication, and optimization for myriad functional materials.

  17. Advancing our understanding of religion and spirituality in the context of behavioral medicine

    Science.gov (United States)

    Masters, Kevin S.; Salsman, John M.; Wachholtz, Amy; Clements, Andrea D.; Salmoirago-Blotcher, Elena; Trevino, Kelly; Wischenka, Danielle M.

    2016-01-01

    Recognizing and understanding the potentially powerful roles that religiousness and spirituality (RS) may serve in the prevention and amelioration of disease, as well as symptom management and health related quality of life, significantly enhances research and clinical efforts across many areas of behavioral medicine. This article examines the knowledge established to date and suggests advances that remain to be made. We begin with a brief summary of the current knowledge regarding RS as related to three exemplary health conditions: (a) cardiovascular disease; (b) cancer; and, (c) substance abuse. We then focus on particular concerns for future investigations, emphasizing conceptual issues, possible mediators and moderators of relationships or effects, and methodology. Our discussion is framed by a conceptual model that may serve to guide and organize future investigations. This model highlights a number of important issues regarding the study of links between RS and health: (a) RS comprise many diverse constructs, (b) the mechanisms through which RS may influence health outcomes are quite diverse, and (c) a range of different types of health and health relevant outcomes may be influenced by RS. The multidimensional nature of RS and the complexity of related associations with different types of health relevant outcomes present formidable challenges to empirical study in behavioral medicine. These issues are referred to throughout our review and we suggest several solutions to the presented challenges in our summary. We end with a presentation of barriers to be overcome, along with strategies for doing so, and concluding thoughts. PMID:27342616

  18. Using self-determination theory to understand motivation deficits in schizophrenia: the 'why' of motivated behavior.

    Science.gov (United States)

    Gard, David E; Sanchez, Amy H; Starr, Jessica; Cooper, Shanna; Fisher, Melissa; Rowlands, Abby; Vinogradov, Sophia

    2014-07-01

    Self-determination theory (SDT) provides a model for understanding motivation deficits in schizophrenia, and recent research has focused on problems with intrinsic motivation. However, SDT emphasizes that motivated behavior results from three different factors: intrinsic motivators (facilitated by needs for autonomy, competency, and relatedness), extrinsic motivators (towards reward or away from punishment), or when intrinsic and extrinsic motivators are absent or thwarted a disconnect-disengagement occurs resulting in behavior driven by boredom or 'passing time'. Using a novel approach to Ecological Momentary Assessment, we assessed the degree to which people with schizophrenia were motivated by these factors relative to healthy control participants. Forty-seven people with and 41 people without schizophrenia were provided with cell phones and were called four times a day for one week. On each call participants were asked about their goals, and about the most important reason motivating each goal. All responses were coded by independent raters (blind to group and hypotheses) on all SDT motivating factors, and ratings were correlated to patient functioning and symptoms. We found that, relative to healthy participants, people with schizophrenia reported goals that were: (1) less motivated by filling autonomy and competency needs, but equivalently motivated by relatedness; (2) less extrinsically rewarding, but equivalently motivated by punishment; (3) more disconnected-disengaged. Higher disconnected-disengaged goals were significantly associated with higher negative symptoms and lower functioning. These findings indicate several important leverage points for behavioral treatments and suggest the need for vigorous psychosocial intervention focusing on autonomy, competence, and reward early in the course of illness. Copyright © 2014 Elsevier B.V. All rights reserved.

  19. Enhancing the Behaviorial Fidelity of Synthetic Entities with Human Behavior Models

    Science.gov (United States)

    2004-05-05

    Human - behavior models (HBMs) and artificial intelligence systems are called on to fill a wide variety of roles in military simulations. Each of the...off the shelf human behavior models available today focuses on a specific area of human cognition and behavior. While this makes these HBMs very...asymmetric opponents and potentially hostile civilians. The research presented here explores the integration of three separate human behavior models to

  20. Himalayan glaciers: understanding contrasting patterns of glacier behavior using multi-temporal satellite imagery

    Science.gov (United States)

    Racoviteanu, A.

    2014-12-01

    High rates of glacier retreat for the last decades are often reported, and believed to be induced by 20th century climate changes. However, regional glacier fluctuations are complex, and depend on a combination of climate and local topography. Furthermore, in ares such as the Hindu-Kush Himalaya, there are concerns about warming, decreasing monsoon precipitation and their impact on local glacier regimes. Currently, the challenge is in understanding the magnitude of feedbacks between large-scale climate forcing and small-scale glacier behavior. Spatio-temporal patterns of glacier distribution are still llimited in some areas of the high Hindu-Kush Himalaya, but multi-temporal satellite imagery has helped fill spatial and temporal gaps in regional glacier parameters in the last decade. Here I present a synopsis of the behavior of glaciers across the Himalaya, following a west to east gradient. In particular, I focus on spatial patterns of glacier parameters in the eastern Himalaya, which I investigate at multi-spatial scales using remote sensing data from declassified Corona, ASTER, Landsat ETM+, Quickbird and Worldview2 sensors. I also present the use of high-resolution imagery, including texture and thermal analysis for mapping glacier features at small scale, which are particularly useful in understanding surface trends of debris-covered glaciers, which are prevalent in the Himalaya. I compare and contrast spatial patterns of glacier area and élévation changes in the monsoon-influenced eastern Himalaya (the Everest region in the Nepal Himalaya and Sikkim in the Indian Himalaya) with other observations from the dry western Indian Himalaya (Ladakh and Lahul-Spiti), both field measurements and remote sensing-based. In the eastern Himalaya, results point to glacier area change of -0.24 % ± 0.08% per year from the 1960's to the 2006's, with a higher rate of retreat in the last decade (-0.43% /yr). Debris-covered glacier tongues show thinning trends of -30.8 m± 39 m

  1. Human & dog in urban environment: Could basic IMS standards help to improve human & dog mutual understanding?

    OpenAIRE

    Andreeva Elena E.

    2016-01-01

    Modern life, particularly urban one, is well regulated. Standards are developed for almost every sphere of human activities including proper treatment of nature and different working processes. IMS standards, particularly ISO 14001 and ISO 9001, are widely spread. In this human made environment we indicated some space and rules for pets, dogs in particular, how to behave, eat, walk, then for us the advices how to become their pack leaders… Also we could apply some widely used requirements and...

  2. Understanding the Behavior of the Oligomeric Fractions During Pyrolysis Oils Upgrading

    Science.gov (United States)

    Stankovikj, Filip

    Fast pyrolysis oils represent most viable renewable sources for production of fuels and chemicals, and they could supplement significant portion of the depleting fossil fuels in near future. Progress on their utilization is impeded by their thermal and storage instability, lack of understanding of their complex composition and behavior during upgrading, including the poorly described water soluble fraction (WS). This work offers two new methodologies for simplified, and sensible description of the pyrolysis oils in terms of functional groups and chemical macro-families, augments our understanding of the composition of the WS, and the behavior of the heavy non-volatile fraction during pyrolysis oils stabilization. The concept of analyzing the volatile and non-volatile fraction in terms of functional groups has been introduced, and the quantification power of spectroscopic techniques (FTIR, 1H-NMR, UV fluorescence) for phenols, carbonyl and carboxyl groups was shown. The FT-ICR-MS van Krevelen diagram revealed the importance of dehydration reactions in pyrolysis oils and the presence of "pyrolytic humins" was hypothesized. For the first time the WS was analyzed with plethora of analytical techniques. This lead to proposition of a new characterization scheme based on functional groups, describing 90-100 wt.% of the bio-oils. The structure of idealized "pyrolytic humin" was further described as a random combination of 3-8 units of dehydrated sugars, coniferyl-type phenols, furans, and carboxylic acids attached on a 2,5-dioxo-6-hydroxyhexanal (DHH) backbone rich in carbonyl groups. TG-FTIR studies resulted in defining rules for fitting pyrolysis oils' DTG curves and assignment of TG residue. This second method is reliable for estimation of water content, light volatiles, WS and WIS. Finally, stabilization of two oils was analyzed through the prism of functional groups. Carbonyl and hydroxyl groups interconverted. The first attempt to follow silent 31P-NMR oxygen was

  3. ActivityNet: A Large-Scale Video Benchmark for Human Activity Understanding

    KAUST Repository

    Heilbron, Fabian Caba

    2015-06-02

    In spite of many dataset efforts for human action recognition, current computer vision algorithms are still severely limited in terms of the variability and complexity of the actions that they can recognize. This is in part due to the simplicity of current benchmarks, which mostly focus on simple actions and movements occurring on manually trimmed videos. In this paper we introduce ActivityNet, a new largescale video benchmark for human activity understanding. Our benchmark aims at covering a wide range of complex human activities that are of interest to people in their daily living. In its current version, ActivityNet provides samples from 203 activity classes with an average of 137 untrimmed videos per class and 1.41 activity instances per video, for a total of 849 video hours. We illustrate three scenarios in which ActivityNet can be used to compare algorithms for human activity understanding: untrimmed video classification, trimmed activity classification and activity detection.

  4. The Exposome Research Paradigm: an Opportunity to Understand the Environmental Basis for Human Health and Disease.

    Science.gov (United States)

    Buck Louis, Germaine M; Smarr, Melissa M; Patel, Chirag J

    2017-03-01

    This paper presents an overview of the exposome research paradigm with particular application to understanding human reproduction and development and its implications for health across a lifespan. The exposome research paradigm has generated considerable discussion about its feasibility and utility for delineating the impact of environmental exposures on human health. Early initiatives are underway, including smaller proof-of-principle studies and larger concerted efforts. Despite the notable challenges underlying the exposome paradigm, analytic techniques are being developed to handle its untargeted approach and correlated and multi-level or hierarchical data structures such initiatives generate, while considering multiple comparisons. The relatively short intervals for critical and sensitive windows of human reproduction and development seem well suited for exposome research and may revolutionize our understanding of later onset diseases. Early initiatives suggest that the exposome paradigm is feasible, but its utility remains to be established with applications to population human health research.

  5. Using the Integrative Model of Behavioral Prediction to Understand College Students' STI Testing Beliefs, Intentions, and Behaviors.

    Science.gov (United States)

    Wombacher, Kevin; Dai, Minhao; Matig, Jacob J; Harrington, Nancy Grant

    2018-03-22

    To identify salient behavioral determinants related to STI testing among college students by testing a model based on the integrative model of behavioral (IMBP) prediction. 265 undergraduate students from a large university in the Southeastern US. Formative and survey research to test an IMBP-based model that explores the relationships between determinants and STI testing intention and behavior. Results of path analyses supported a model in which attitudinal beliefs predicted intention and intention predicted behavior. Normative beliefs and behavioral control beliefs were not significant in the model; however, select individual normative and control beliefs were significantly correlated with intention and behavior. Attitudinal beliefs are the strongest predictor of STI testing intention and behavior. Future efforts to increase STI testing rates should identify and target salient attitudinal beliefs.

  6. Modulating mimicry: Exploring the roles of inhibitory control and social understanding in 5-year-olds' behavioral mimicry.

    Science.gov (United States)

    van Schaik, Johanna E; Hunnius, Sabine

    2018-01-01

    During adult interactions, behavioral mimicry, the implicit copying of an interaction partner's postures and mannerisms, communicates liking and affiliation. While this social behavior likely develops during early childhood, it is unclear which factors contribute to its emergence. Here, the roles of inhibitory control and social understanding on 5-year-olds' behavioral mimicry were investigated. Following a social manipulation in which one experimenter shared a sticker with the child and the other experimenter kept two stickers for herself, children watched a video in which these experimenters each told a story. During this story session, children in the experimental group (n = 28) observed the experimenters perform face and hand rubbing behaviors whereas the control group (n = 23) did not see these behaviors. Children's inhibitory control was assessed using the day-night task and their social understanding was measured through a parental questionnaire. Surprisingly, group-level analyses revealed that the experimental group performed the behaviors significantly less than the control group (i.e. a negative mimicry effect) for both the sticker-sharer and sticker-keeper. Yet, the hypothesized effects of inhibitory control and social understanding were found. Inhibitory control predicted children's selective mimicry of the sticker-keeper versus sticker-sharer and children's overall mimicry was correlated with social understanding. These results provide the first indications to suggest that factors of social and cognitive development dynamically influence the emergence and specificity of behavioral mimicry during early childhood.

  7. Human Activity-Understanding: A Multilayer Approach Combining Body Movements and Contextual Descriptors Analysis

    Directory of Open Access Journals (Sweden)

    Consuelo Granata

    2015-07-01

    Full Text Available A deep understanding of human activity is key to successful human-robot interaction (HRI. The translation of sensed human behavioural signals/cues and context descriptors into an encoded human activity remains a challenge because of the complex nature of human actions. In this paper, we propose a multilayer framework for the understanding of human activity to be implemented in a mobile robot. It consists of a perception layer which exploits a D-RGB-based skeleton tracking output used to simulate a physical model of virtual human dynamics in order to compensate for the inaccuracy and inconsistency of the raw data. A multi-support vector machine (MSVM model trained with features describing the human motor coordination through temporal segments in combination with environment descriptors (object affordance is used to recognize each sub-activity (classification layer. The interpretation of sequences of classified elementary actions is based on discrete hidden Markov models (DHMMs (interpretation layer. The framework assessment was performed on the Cornell Activity Dataset (CAD-120 [1]. The performances of our method are comparable with those presented in [2] and clearly show the relevance of this model-based approach.

  8. Endocrinology of human female sexuality, mating, and reproductive behavior.

    Science.gov (United States)

    Motta-Mena, Natalie V; Puts, David A

    2017-05-01

    Hormones orchestrate and coordinate human female sexual development, sexuality, and reproduction in relation to three types of phenotypic changes: life history transitions such as puberty and childbirth, responses to contextual factors such as caloric intake and stress, and cyclical patterns such as the ovulatory cycle. Here, we review the endocrinology underlying women's reproductive phenotypes, including sexual orientation and gender identity, mate preferences, competition for mates, sex drive, and maternal behavior. We highlight distinctive aspects of women's sexuality such as the possession of sexual ornaments, relatively cryptic fertile windows, extended sexual behavior across the ovulatory cycle, and a period of midlife reproductive senescence-and we focus on how hormonal mechanisms were shaped by selection to produce adaptive outcomes. We conclude with suggestions for future research to elucidate how hormonal mechanisms subserve women's reproductive phenotypes. Copyright © 2016 Elsevier Inc. All rights reserved.

  9. Effects of lighting on human physiology and behavior

    Energy Technology Data Exchange (ETDEWEB)

    Brainard, G.C.

    1996-01-01

    It has been demonstrated and published in the biomedical literature that light in the environment can regulate human biology and behavior. In addition, light is now routinely utilized as a therapeutic tool for various clinical disorders. Studies also suggest that light can be used to improve the health and productivity of shift workers. Finally, the data are beginning to look very promising for the fact that light may be used to improve the health and performance of day workers in addition to shift workers.

  10. Understanding HIV transmission risk behavior among HIV-infected South Africans receiving antiretroviral therapy: an information--motivation--behavioral skills model analysis.

    Science.gov (United States)

    Kiene, Susan M; Fisher, William A; Shuper, Paul A; Cornman, Deborah H; Christie, Sarah; Macdonald, Susan; Pillay, Sandy; Mahlase, Gethwana; Fisher, Jeffrey D

    2013-08-01

    The current study applied the Information-Motivation-Behavioral Skills (IMB) model (Fisher & Fisher, 1992; Fisher & Fisher, 1993) to identify factors associated with human immunodeficiency virus (HIV) transmission risk behavior among HIV-infected South Africans receiving antiretroviral therapy (ART), a population of considerable significance for curtailing, or maintaining, South Africa's generalized HIV epidemic. HIV prevention information, HIV prevention motivation, HIV prevention behavioral skills, and HIV transmission risk behavior were assessed in a sample of 1,388 South Africans infected with HIV and receiving ART in 16 clinics in KwaZulu-Natal, South Africa. Findings confirmed the assumptions of the IMB model and demonstrated that HIV prevention information and HIV prevention motivation work through HIV prevention behavioral skills to affect HIV transmission risk behavior in this population. Subanalyses confirmed these relationships for HIV transmission risk behavior overall and for HIV transmission risk behavior with partners perceived to be HIV-negative or HIV-status unknown. A consistent pattern of gender differences showed that for men, HIV prevention information and HIV prevention motivation may have direct links with HIV preventive behavior, whereas for women, the effect of HIV prevention motivation works through HIV prevention behavioral skills to affect HIV preventive behavior. These IMB model-based findings suggest directions for HIV prevention interventions with South African men and women living with HIV and on ART as an important component of overall strategies to contain South Africa's generalized HIV epidemic. PsycINFO Database Record (c) 2013 APA, all rights reserved.

  11. A Comprehensive Understanding of Machine and Material Behaviors During Inertia Friction Welding

    Science.gov (United States)

    Tung, Daniel J.

    Inertia Friction Welding (IFW), a critical process to many industries, currently relies on trial-and-error experimentation to optimize process parameters. Although this Edisonian approach is very effective, the high time and dollar costs incurred during process development are the driving force for better design approaches. Thermal-stress finite element modeling has been increasingly used to aid in process development in the literature; however, several fundamental questions on machine and material behaviors remain unanswered. The work presented here aims produce an analytical foundation to significantly reduce the costly physical experimentation currently required to design the inertia welding of production parts. Particularly, the work is centered around the following two major areas. First, machine behavior during IFW, which critically determines deformation and heating, had not been well understood to date. In order to properly characterize the IFW machine behavior, a novel method based on torque measurements was invented to measure machine efficiency, i.e. the ratio of the initial kinetic energy of the flywheel to that contributing to workpiece heating and deformation. The measured efficiency was validated by both simple energy balance calculations and more sophisticated finite element modeling. For the first time, the efficiency dependence on both process parameters (flywheel size, initial rotational velocity, axial load, and surface roughness) and materials (1018 steel, Low Solvus High Refractory LSHR and Waspaloy) was quantified using the torque based measurement method. The effect of process parameters on machine efficiency was analyzed to establish simple-to-use yet powerful equations for selection and optimization of IFW process parameters for making welds; however, design criteria such as geometry and material optimization were not addressed. Second, there had been a lack of understanding of the bond formation during IFW. In the present research, an

  12. Stress, cues, and eating behavior. Using drug addiction paradigms to understand motivation for food.

    Science.gov (United States)

    Stojek, Monika Kardacz; Fischer, Sarah; MacKillop, James

    2015-09-01

    Eating patterns that lead to overconsumption of high fat, high sugar (HFHS) foods share similar features with addictive behaviors. Application of addiction paradigms, such as stress inductions, cue reactivity and behavioral economic assessments, to the study of motivation for HFHS food consumption may be a promising means of understanding food consumption. To date, few studies have investigated the interaction of stress and environmental cues on craving, and no study leveraged the state relative reinforcing value of foods (RRVfood) under varying conditions of affective states, the foci of the current study. This study used a mixed factorial design (Mood Induction: Neutral, Stress; Cues: Neutral, Food) with repeated measures on time (Baseline, Post-Mood Induction, Post-Cue Exposure). Participants (N = 133) were community adults who endorsed liking of HFHS snacks but denied eating pathology. The primary DVs were subjective craving and RRVfood. Negative and positive affect (NA, PA), the amount of food consumed, and latency to first bite were also examined. Participants in the Stress condition reported no change in craving or RRVfood. Exposure to food cues significantly increased participants' craving and RRVfood, but an interaction of stress and cues was not present. Participants did not differ on how many calories they consumed based on exposure to stress or food cues, but participants in the food cues condition had a shorter latency to the first bite of food. This study highlights the importance of environmental cues in food motivation. It also demonstrates the utility of using RRVfood to further characterize food motivation. Copyright © 2015 Elsevier Ltd. All rights reserved.

  13. Genome-wide analysis identifies 12 loci influencing human reproductive behavior.

    Science.gov (United States)

    Barban, Nicola; Jansen, Rick; de Vlaming, Ronald; Vaez, Ahmad; Mandemakers, Jornt J; Tropf, Felix C; Shen, Xia; Wilson, James F; Chasman, Daniel I; Nolte, Ilja M; Tragante, Vinicius; van der Laan, Sander W; Perry, John R B; Kong, Augustine; Ahluwalia, Tarunveer S; Albrecht, Eva; Yerges-Armstrong, Laura; Atzmon, Gil; Auro, Kirsi; Ayers, Kristin; Bakshi, Andrew; Ben-Avraham, Danny; Berger, Klaus; Bergman, Aviv; Bertram, Lars; Bielak, Lawrence F; Bjornsdottir, Gyda; Bonder, Marc Jan; Broer, Linda; Bui, Minh; Barbieri, Caterina; Cavadino, Alana; Chavarro, Jorge E; Turman, Constance; Concas, Maria Pina; Cordell, Heather J; Davies, Gail; Eibich, Peter; Eriksson, Nicholas; Esko, Tõnu; Eriksson, Joel; Falahi, Fahimeh; Felix, Janine F; Fontana, Mark Alan; Franke, Lude; Gandin, Ilaria; Gaskins, Audrey J; Gieger, Christian; Gunderson, Erica P; Guo, Xiuqing; Hayward, Caroline; He, Chunyan; Hofer, Edith; Huang, Hongyan; Joshi, Peter K; Kanoni, Stavroula; Karlsson, Robert; Kiechl, Stefan; Kifley, Annette; Kluttig, Alexander; Kraft, Peter; Lagou, Vasiliki; Lecoeur, Cecile; Lahti, Jari; Li-Gao, Ruifang; Lind, Penelope A; Liu, Tian; Makalic, Enes; Mamasoula, Crysovalanto; Matteson, Lindsay; Mbarek, Hamdi; McArdle, Patrick F; McMahon, George; Meddens, S Fleur W; Mihailov, Evelin; Miller, Mike; Missmer, Stacey A; Monnereau, Claire; van der Most, Peter J; Myhre, Ronny; Nalls, Mike A; Nutile, Teresa; Kalafati, Ioanna Panagiota; Porcu, Eleonora; Prokopenko, Inga; Rajan, Kumar B; Rich-Edwards, Janet; Rietveld, Cornelius A; Robino, Antonietta; Rose, Lynda M; Rueedi, Rico; Ryan, Kathleen A; Saba, Yasaman; Schmidt, Daniel; Smith, Jennifer A; Stolk, Lisette; Streeten, Elizabeth; Tönjes, Anke; Thorleifsson, Gudmar; Ulivi, Sheila; Wedenoja, Juho; Wellmann, Juergen; Willeit, Peter; Yao, Jie; Yengo, Loic; Zhao, Jing Hua; Zhao, Wei; Zhernakova, Daria V; Amin, Najaf; Andrews, Howard; Balkau, Beverley; Barzilai, Nir; Bergmann, Sven; Biino, Ginevra; Bisgaard, Hans; Bønnelykke, Klaus; Boomsma, Dorret I; Buring, Julie E; Campbell, Harry; Cappellani, Stefania; Ciullo, Marina; Cox, Simon R; Cucca, Francesco; Toniolo, Daniela; Davey-Smith, George; Deary, Ian J; Dedoussis, George; Deloukas, Panos; van Duijn, Cornelia M; de Geus, Eco J C; Eriksson, Johan G; Evans, Denis A; Faul, Jessica D; Sala, Cinzia Felicita; Froguel, Philippe; Gasparini, Paolo; Girotto, Giorgia; Grabe, Hans-Jörgen; Greiser, Karin Halina; Groenen, Patrick J F; de Haan, Hugoline G; Haerting, Johannes; Harris, Tamara B; Heath, Andrew C; Heikkilä, Kauko; Hofman, Albert; Homuth, Georg; Holliday, Elizabeth G; Hopper, John; Hyppönen, Elina; Jacobsson, Bo; Jaddoe, Vincent W V; Johannesson, Magnus; Jugessur, Astanand; Kähönen, Mika; Kajantie, Eero; Kardia, Sharon L R; Keavney, Bernard; Kolcic, Ivana; Koponen, Päivikki; Kovacs, Peter; Kronenberg, Florian; Kutalik, Zoltan; La Bianca, Martina; Lachance, Genevieve; Iacono, William G; Lai, Sandra; Lehtimäki, Terho; Liewald, David C; Lindgren, Cecilia M; Liu, Yongmei; Luben, Robert; Lucht, Michael; Luoto, Riitta; Magnus, Per; Magnusson, Patrik K E; Martin, Nicholas G; McGue, Matt; McQuillan, Ruth; Medland, Sarah E; Meisinger, Christa; Mellström, Dan; Metspalu, Andres; Traglia, Michela; Milani, Lili; Mitchell, Paul; Montgomery, Grant W; Mook-Kanamori, Dennis; de Mutsert, Renée; Nohr, Ellen A; Ohlsson, Claes; Olsen, Jørn; Ong, Ken K; Paternoster, Lavinia; Pattie, Alison; Penninx, Brenda W J H; Perola, Markus; Peyser, Patricia A; Pirastu, Mario; Polasek, Ozren; Power, Chris; Kaprio, Jaakko; Raffel, Leslie J; Räikkönen, Katri; Raitakari, Olli; Ridker, Paul M; Ring, Susan M; Roll, Kathryn; Rudan, Igor; Ruggiero, Daniela; Rujescu, Dan; Salomaa, Veikko; Schlessinger, David; Schmidt, Helena; Schmidt, Reinhold; Schupf, Nicole; Smit, Johannes; Sorice, Rossella; Spector, Tim D; Starr, John M; Stöckl, Doris; Strauch, Konstantin; Stumvoll, Michael; Swertz, Morris A; Thorsteinsdottir, Unnur; Thurik, A Roy; Timpson, Nicholas J; Tung, Joyce Y; Uitterlinden, André G; Vaccargiu, Simona; Viikari, Jorma; Vitart, Veronique; Völzke, Henry; Vollenweider, Peter; Vuckovic, Dragana; Waage, Johannes; Wagner, Gert G; Wang, Jie Jin; Wareham, Nicholas J; Weir, David R; Willemsen, Gonneke; Willeit, Johann; Wright, Alan F; Zondervan, Krina T; Stefansson, Kari; Krueger, Robert F; Lee, James J; Benjamin, Daniel J; Cesarini, David; Koellinger, Philipp D; den Hoed, Marcel; Snieder, Harold; Mills, Melinda C

    2016-12-01

    The genetic architecture of human reproductive behavior-age at first birth (AFB) and number of children ever born (NEB)-has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified, and the underlying mechanisms of AFB and NEB are poorly understood. We report a large genome-wide association study of both sexes including 251,151 individuals for AFB and 343,072 individuals for NEB. We identified 12 independent loci that are significantly associated with AFB and/or NEB in a SNP-based genome-wide association study and 4 additional loci associated in a gene-based effort. These loci harbor genes that are likely to have a role, either directly or by affecting non-local gene expression, in human reproduction and infertility, thereby increasing understanding of these complex traits.

  14. Different Motile Behaviors of Human Hematopoietic Stem versus Progenitor Cells at the Osteoblastic Niche

    Directory of Open Access Journals (Sweden)

    Katie Foster

    2015-11-01

    Full Text Available Despite advances in our understanding of interactions between mouse hematopoietic stem cells (HSCs and their niche, little is known about communication between human HSCs and the microenvironment. Using a xenotransplantation model and intravital imaging, we demonstrate that human HSCs display distinct motile behaviors to their hematopoietic progenitor cell (HPC counterparts, and the same pattern can be found between mouse HSCs and HPCs. HSCs become significantly less motile after transplantation, while progenitor cells remain motile. We show that human HSCs take longer to find their niche than previously expected and suggest that the niche be defined as the position where HSCs stop moving. Intravital imaging is the only technique to determine where in the bone marrow stem cells stop moving, and future analyses should focus on the environment surrounding the HSC at this point.

  15. Genome-wide analysis identifies 12 loci influencing human reproductive behavior

    Science.gov (United States)

    Barban, Nicola; Jansen, Rick; de Vlaming, Ronald; Vaez, Ahmad; Mandemakers, Jornt J.; Tropf, Felix C.; Shen, Xia; Wilson, James F.; Chasman, Daniel I.; Nolte, Ilja M.; Tragante, Vinicius; van der Laan, Sander W.; Perry, John R. B.; Kong, Augustine; Ahluwalia, Tarunveer; Albrecht, Eva; Yerges-Armstrong, Laura; Atzmon, Gil; Auro, Kirsi; Ayers, Kristin; Bakshi, Andrew; Ben-Avraham, Danny; Berger, Klaus; Bergman, Aviv; Bertram, Lars; Bielak, Lawrence F.; Bjornsdottir, Gyda; Bonder, Marc Jan; Broer, Linda; Bui, Minh; Barbieri, Caterina; Cavadino, Alana; Chavarro, Jorge E; Turman, Constance; Concas, Maria Pina; Cordell, Heather J.; Davies, Gail; Eibich, Peter; Eriksson, Nicholas; Esko, Tõnu; Eriksson, Joel; Falahi, Fahimeh; Felix, Janine F.; Fontana, Mark Alan; Franke, Lude; Gandin, Ilaria; Gaskins, Audrey J.; Gieger, Christian; Gunderson, Erica P.; Guo, Xiuqing; Hayward, Caroline; He, Chunyan; Hofer, Edith; Huang, Hongyan; Joshi, Peter K.; Kanoni, Stavroula; Karlsson, Robert; Kiechl, Stefan; Kifley, Annette; Kluttig, Alexander; Kraft, Peter; Lagou, Vasiliki; Lecoeur, Cecile; Lahti, Jari; Li-Gao, Ruifang; Lind, Penelope A.; Liu, Tian; Makalic, Enes; Mamasoula, Crysovalanto; Matteson, Lindsay; Mbarek, Hamdi; McArdle, Patrick F.; McMahon, George; Meddens, S. Fleur W.; Mihailov, Evelin; Miller, Mike; Missmer, Stacey A.; Monnereau, Claire; van der Most, Peter J.; Myhre, Ronny; Nalls, Mike A.; Nutile, Teresa; Panagiota, Kalafati Ioanna; Porcu, Eleonora; Prokopenko, Inga; Rajan, Kumar B.; Rich-Edwards, Janet; Rietveld, Cornelius A.; Robino, Antonietta; Rose, Lynda M.; Rueedi, Rico; Ryan, Kathy; Saba, Yasaman; Schmidt, Daniel; Smith, Jennifer A.; Stolk, Lisette; Streeten, Elizabeth; Tonjes, Anke; Thorleifsson, Gudmar; Ulivi, Sheila; Wedenoja, Juho; Wellmann, Juergen; Willeit, Peter; Yao, Jie; Yengo, Loic; Zhao, Jing Hua; Zhao, Wei; Zhernakova, Daria V.; Amin, Najaf; Andrews, Howard; Balkau, Beverley; Barzilai, Nir; Bergmann, Sven; Biino, Ginevra; Bisgaard, Hans; Bønnelykke, Klaus; Boomsma, Dorret I.; Buring, Julie E.; Campbell, Harry; Cappellani, Stefania; Ciullo, Marina; Cox, Simon R.; Cucca, Francesco; Daniela, Toniolo; Davey-Smith, George; Deary, Ian J.; Dedoussis, George; Deloukas, Panos; van Duijn, Cornelia M.; de Geus, Eco JC.; Eriksson, Johan G.; Evans, Denis A.; Faul, Jessica D.; Felicita, Sala Cinzia; Froguel, Philippe; Gasparini, Paolo; Girotto, Giorgia; Grabe, Hans-Jörgen; Greiser, Karin Halina; Groenen, Patrick J.F.; de Haan, Hugoline G.; Haerting, Johannes; Harris, Tamara B.; Heath, Andrew C.; Heikkilä, Kauko; Hofman, Albert; Homuth, Georg; Holliday, Elizabeth G; Hopper, John; Hypponen, Elina; Jacobsson, Bo; Jaddoe, Vincent W. V.; Johannesson, Magnus; Jugessur, Astanand; Kähönen, Mika; Kajantie, Eero; Kardia, Sharon L.R.; Keavney, Bernard; Kolcic, Ivana; Koponen, Päivikki; Kovacs, Peter; Kronenberg, Florian; Kutalik, Zoltan; La Bianca, Martina; Lachance, Genevieve; Iacono, William; Lai, Sandra; Lehtimäki, Terho; Liewald, David C; Lindgren, Cecilia; Liu, Yongmei; Luben, Robert; Lucht, Michael; Luoto, Riitta; Magnus, Per; Magnusson, Patrik K.E.; Martin, Nicholas G.; McGue, Matt; McQuillan, Ruth; Medland, Sarah E.; Meisinger, Christa; Mellström, Dan; Metspalu, Andres; Michela, Traglia; Milani, Lili; Mitchell, Paul; Montgomery, Grant W.; Mook-Kanamori, Dennis; de Mutsert, Renée; Nohr, Ellen A; Ohlsson, Claes; Olsen, Jørn; Ong, Ken K.; Paternoster, Lavinia; Pattie, Alison; Penninx, Brenda WJH; Perola, Markus; Peyser, Patricia A.; Pirastu, Mario; Polasek, Ozren; Power, Chris; Kaprio, Jaakko; Raffel, Leslie J.; Räikkönen, Katri; Raitakari, Olli; Ridker, Paul M.; Ring, Susan M.; Roll, Kathryn; Rudan, Igor; Ruggiero, Daniela; Rujescu, Dan; Salomaa, Veikko; Schlessinger, David; Schmidt, Helena; Schmidt, Reinhold; Schupf, Nicole; Smit, Johannes; Sorice, Rossella; Spector, Tim D.; Starr, John M.; Stöckl, Doris; Strauch, Konstantin; Stumvoll, Michael; Swertz, Morris A.; Thorsteinsdottir, Unnur; Thurik, A. Roy; Timpson, Nicholas J.; Tönjes, Anke; Tung, Joyce Y.; Uitterlinden, André G.; Vaccargiu, Simona; Viikari, Jorma; Vitart, Veronique; Völzke, Henry; Vollenweider, Peter; Vuckovic, Dragana; Waage, Johannes; Wagner, Gert G.; Wang, Jie Jin; Wareham, Nicholas J.; Weir, David R.; Willemsen, Gonneke; Willeit, Johann; Wright, Alan F.; Zondervan, Krina T.; Stefansson, Kari; Krueger, Robert F.; Lee, James J.; Benjamin, Daniel J.; Cesarini, David; Koellinger, Philipp D.; den Hoed, Marcel; Snieder, Harold; Mills, Melinda C.

    2017-01-01

    The genetic architecture of human reproductive behavior – age at first birth (AFB) and number of children ever born (NEB) – has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified and the underlying mechanisms of AFB and NEB are poorly understood. We report the largest genome-wide association study to date of both sexes including 251,151 individuals for AFB and 343,072 for NEB. We identified 12 independent loci that are significantly associated with AFB and/or NEB in a SNP-based genome-wide association study, and four additional loci in a gene-based effort. These loci harbor genes that are likely to play a role – either directly or by affecting non-local gene expression – in human reproduction and infertility, thereby increasing our understanding of these complex traits. PMID:27798627

  16. Effects of a Co-operative Learning Strategy on Ninth-Graders' Understanding of Human Nutrition.

    Science.gov (United States)

    Soyibo, Kola; Evans, Hermel G.

    2002-01-01

    Looks at the effect of teaching strategies on a group's attitude toward biology and understanding human nutrition. Used an experimental group that participated in co-operative learning and a control group taught using the lecture method. Involves ninth graders (n=156) from two high schools in Jamaica. (Author/YDS)

  17. Communicating Numerical Risk: Human Factors That Aid Understanding in Health Care

    Science.gov (United States)

    Brust-Renck, Priscila G.; Royer, Caisa E.; Reyna, Valerie F.

    2014-01-01

    In this chapter, we review evidence from the human factors literature that verbal and visual formats can help increase the understanding of numerical risk information in health care. These visual representations of risk are grounded in empirically supported theory. As background, we first review research showing that people often have difficulty understanding numerical risks and benefits in health information. In particular, we discuss how understanding the meanings of numbers results in healthier decisions. Then, we discuss the processes that determine how communication of numerical risks can enhance (or degrade) health judgments and decisions. Specifically, we examine two different approaches to risk communication: a traditional approach and fuzzy-trace theory. Applying research on the complications of understanding and communicating risks, we then highlight how different visual representations are best suited to communicating different risk messages (i.e., their gist). In particular, we review verbal and visual messages that highlight gist representations that can better communicate health information and improve informed decision making. This discussion is informed by human factors theories and methods, which involve the study of how to maximize the interaction between humans and the tools they use. Finally, we present implications and recommendations for future research on human factors in health care. PMID:24999307

  18. UNESCO and the Associated Schools Project: Symbolic Affirmation of World Community, International Understanding, and Human Rights

    Science.gov (United States)

    Suarez, David F.; Ramirez, Francisco O.; Koo, Jeong-Woo

    2009-01-01

    The UNESCO Associated Schools Project emphasizes world community, human rights, and international understanding. This article investigates the emergence and global diffusion of the project from 1953 to 2001, estimating the influence of national, regional, and world characteristics on the likelihood of a country adopting a UNESCO school. It also…

  19. Improving the security of multiple passwords through a greater understanding of the human memory

    OpenAIRE

    Woods, Naomi

    2016-01-01

    Multiple passwords are an increasing security issue that will only get worse with time. One of the major factors that compromise multiple passwords is users’ memory, and the behaviors they adopt to compensate for its failures. Through studying memory elements that influence users’ password memorability, we may increase our understanding of the user and therefore make proposals to increase the security of the password authentication mechanism. This dissertation examines...

  20. Understanding Psychosocial and High-Risk Sexual Behaviors Among Detained Juveniles: A Descriptive Study Protocol.

    Science.gov (United States)

    Gates, Madison L; Staples-Horne, Michelle; Cartier, Jeanne; Best, Candace; Walker, Veronica; Schwartz, David; Yoo, Wonsuk

    2015-12-30

    African American women are disproportionately impacted by sexually transmitted infections (STIs), such as chlamydia and gonorrhea, which are known risk factors for human immunodeficiency virus (HIV) infection. STIs, particularly chlamydia and gonorrhea, are even more prevalent among young African American women with a juvenile detention history. The population with experiences with the criminal justice system has greater rates of STIs and is diagnosed more often with mental health issues, often related to sexual abuse or intimate partner violence, compared to peers who have not been detained by law enforcement. Psychosocial factors, especially those related to intimate relationships (ie, the imperativeness of being in a relationship and the power one has in their relationship), have emerged as important explanatory factors for acquiring STIs, including HIV, and a component of risk reduction interventions. To investigate more comprehensively the relationship between psychosocial risk factors and STIs, including HIV, as it relates to reduction and prevention of these diseases. The long-term goal is to improve the effectiveness of evidence-based interventions with a major focus on intimate relationship dynamics. This descriptive study surveys young women (ages 13-17) who have been detained (incarcerated) by a department of juvenile justice. In addition to being female and detained, eligibility criteria include being detained longer than 30 days and being free of cognitive impairments. This study will include young women from one juvenile detention center. The primary outcomes to be measured are STI knowledge, intimate relationship dynamics (ie, imperativeness and power), and high-risk sexual behaviors. High-risk sexual behaviors will be assessed using data extracted from health records. Preliminarily, we have received assent from 26 primarily young African American women. The majority of participants (81%) had inadequate knowledge about STIs, 52% perceived a lack of

  1. The Scent of Blood: A Driver of Human Behavior?

    Science.gov (United States)

    Moran, James K; Dietrich, Daniel R; Elbert, Thomas; Pause, Bettina M; Kübler, Lisa; Weierstall, Roland

    2015-01-01

    The scent of blood is potentially one of the most fundamental and survival-relevant olfactory cues in humans. This experiment tests the first human parameters of perceptual threshold and emotional ratings in men and women of an artificially simulated smell of fresh blood in contact with the skin. We hypothesize that this scent of blood, with its association with injury, danger, death, and nutrition will be a critical cue activating fundamental motivational systems relating to either predatory approach behavior or prey-like withdrawal behavior, or both. The results show that perceptual thresholds are unimodally distributed for both sexes, with women being more sensitive. Furthermore, both women and men's emotional responses to simulated blood scent divide strongly into positive and negative valence ratings, with negative ratings in women having a strong arousal component. For women, this split is related to the phase of their menstrual cycle and oral contraception (OC). Future research will investigate whether this split in both genders is context-dependent or trait-like.

  2. Social Media Research, Human Behavior, and Sustainable Society

    Directory of Open Access Journals (Sweden)

    Quan Li

    2017-03-01

    Full Text Available A bibliometric analysis was conducted to review social media research from different perspectives during the period of 2008–2014 based on the Science Citation Index and Social Science Citation Index database. Using a collection of 10,042 articles related to social media, the bibliometric analysis revealed some interesting patterns and trend of the scientific outputs, major journals, subject categories, spatial distribution, international collaboration, and temporal evolution in keywords usage in social media studies. The research on social media has been characterized by rapid growth and dynamic collaboration, with a rising number of publications and citation. Communication, Sociology, Public, Environment & Occupational Health, Business, and Multidisciplinary Psychology were the five most common categories. Computers in Human Behavior was the journal with the most social media publications, and Computers & Education ranked first according to the average citations. The two most productive countries were the U.S. and UK, delivering about half of the publications. The proportion of China’s internationally collaborative publications was the highest. The University of Wisconsin, the University of Michigan, and Harvard University were three most productive institutions. Several keywords, such as “Facebook”, “Twitter”, “communication”, “Social Networking Sites”, “China”, “climate change”, “big data” and “social support” increasingly gained the popularity during the study period, indicating the research trends on human behavior and sustainability.

  3. Inner-City African-American Women's Adolescence as Stressful Life Events: Understanding Substance Abusing Behavior.

    Science.gov (United States)

    Durr, Marlese; Small, La Fleur F; Dunlap, Eloise

    2010-06-01

    Lula Beatty (2003:59) asks, "What makes a black woman, voluntarily take a substance into her body which alters her perceptions and feelings of well-being?" This research examines African American women's substance abuse as a response to stressful life events grounded in adolescence, drawing in part on the cognitive-transactional approach and distal stressor model to discuss the effects of stressors on mental health and substance abusing behavior. Most respondents viewed their adolescent experiences and the associated stress as tribulations or lessons to be lived through, rather than a signal of needed change in their social, cultural, and ecological life circumstances. The effect of exposure to constant stressors early in the life course coupled with proximal stressors often resulted in negative active responses to stress (i.e. substance abuse) and continued stunted emotional growth. Thus, our findings indicate that the experience of African American women as adolescents contributes to understanding substance abuse amongst this population. These findings further help develop the cognitive-transactional model, while adding to the distal stressors and life process model as a way of considering gender, race, and structural forces.

  4. Understanding watershed hydrogeochemistry: 2. Synchronized hydrological and geochemical processes drive stream chemostatic behavior

    Science.gov (United States)

    Li, Li; Bao, Chen; Sullivan, Pamela L.; Brantley, Susan; Shi, Yuning; Duffy, Christopher

    2017-03-01

    Why do solute concentrations in streams remain largely constant while discharge varies by orders of magnitude? We used a new hydrological land surface and reactive transport code, RT-Flux-PIHM, to understand this long-standing puzzle. We focus on the nonreactive chloride (Cl) and reactive magnesium (Mg) in the Susquehanna Shale Hills Critical Zone Observatory (SSHCZO). Simulation results show that stream discharge comes from surface runoff (Qs), soil lateral flow (QL), and deeper groundwater (QG), with QL contributing >70%. In the summer, when high evapotranspiration dries up and disconnects most of the watershed from the stream, Cl is trapped along planar hillslopes. Successive rainfalls connect the watershed and mobilize trapped Cl, which counteracts dilution effects brought about by high water storage (Vw) and maintains chemostasis. Similarly, the synchronous response of clay dissolution rates (Mg source) to hydrological conditions, maintained largely by a relatively constant ratio between "wetted" mineral surface area Aw and Vw, controls Mg chemostatic behavior. Sensitivity analysis indicates that cation exchange plays a secondary role in determining chemostasis compared to clay dissolution, although it does store an order-of-magnitude more Mg on exchange sites than soil water. Model simulations indicate that dilution (concentration decrease with increasing discharge) occurs only when mass influxes from soil lateral flow are negligible (e.g., via having low clay surface area) so that stream discharge is dominated by relatively constant mass fluxes from deep groundwater that are unresponsive to surface hydrological conditions.

  5. Understanding of action-related and abstract verbs in comparison: a behavioral and TMS study.

    Science.gov (United States)

    Innocenti, Alessandro; De Stefani, Elisa; Sestito, Mariateresa; Gentilucci, Maurizio

    2014-02-01

    Does the comprehension of both action-related and abstract verbs rely on motor simulation? In a behavioral experiment, in which a semantic task was used, response times to hand-action-related verbs were briefer than those to abstract verbs and both decreased with repetition of presentation. In a transcranial magnetic stimulation (TMS) experiment, single-pulse stimulation was randomly delivered over hand motor area of the left primary motor cortex to measure cortical-spinal excitability at 300 or 500 ms after verb presentation. Two blocks of trials were run. In each block, the same verbs were randomly presented. In the first block, stimulation induced an increase in motor evoked potentials only when TMS was applied 300 ms after action-related verb presentation. In the second block, no modulation of motor cortex was found according to type of verb and stimulation-delay. These results confirm that motor simulation can be used to understand action rather than abstract verbs. Moreover, they suggest that with repetition, the semantic processing for action verbs does not require activation of primary motor cortex anymore.

  6. Trying not to get burned: understanding homeowners' wildfire risk-mitigation behaviors.

    Science.gov (United States)

    Brenkert-Smith, Hannah; Champ, Patricia A; Flores, Nicholas

    2012-12-01

    Three causes have been identified for the spiraling cost of wildfire suppression in the United States: climate change, fuel accumulation from past wildfire suppression, and development in fire-prone areas. Because little is likely to be performed to halt the effects of climate on wildfire risk, and because fuel-management budgets cannot keep pace with fuel accumulation let alone reverse it, changing the behaviors of existing and potential homeowners in fire-prone areas is the most promising approach to decreasing the cost of suppressing wildfires in the wildland-urban interface and increasing the odds of homes surviving wildfire events. Wildfire education efforts encourage homeowners to manage their property to decrease wildfire risk. Such programs may be more effective with a better understanding of the factors related to homeowners' decisions to undertake wildfire risk-reduction actions. In this study, we measured whether homeowners had implemented 12 wildfire risk-mitigation measures in 2 Colorado Front Range counties. We found that wildfire information received from local volunteer fire departments and county wildfire specialists, as well as talking with neighbors about wildfire, were positively associated with higher levels of mitigation. Firsthand experience in the form of preparing for or undertaking an evacuation was also associated with a higher level of mitigation. Finally, homeowners who perceived higher levels of wildfire risk on their property had undertaken higher levels of wildfire-risk mitigation on their property.

  7. Overview of rehabilitative efforts in understanding and managing sexually coercive behaviors.

    Science.gov (United States)

    Schwartz, Barbara K

    2003-06-01

    In reviewing approaches to rehabilitative efforts in understanding and managing sexually coercive behaviors within the past two decades, one is struck by the development of two totally divergent paths. In 1971, there were a few civil commitment programs operated by mental health departments-most notably were the Sexual Psychopath Program at Western State Hospital in Fort Steilacoom, Washington, and the Massachusetts Treatment Center for Sexually Dangerous Persons. There were a few programs in prisons started by therapists who were interested in this population but given little recognition and even fewer resources. Additionally there were a handful of community-based programs including the J.J. Peters Institute in Philadelphia and PASO (Positive Approaches to Sex Offenders) in Albuquerque, New Mexico. Today there are thousands of specialized sexual offender treatment programs treating sexual abusers of every age, gender, ethnicity, and with a wide range of comorbid conditions. They are treated in the community, prisons, mental hospitals, residential facilities, and private practices. There is an international organization, a specialized research journal, and a specialized branch of the Department of Justice, the Center for Sex Offender Management. This chapter will provide an overview of the developments in the field, primarily covering the last 25 years. It will look at the evolution of theoretical approaches, the development of specialized approaches for subpopulations, significant landmarks, and possible future trends.

  8. A qualitative study to understand positive and negative child feeding behaviors of immigrant Asian Indian mothers in the US.

    Science.gov (United States)

    Momin, Shabnam R; Chung, Kimberly R; Olson, Beth H

    2014-09-01

    To understand current practice of child feeding behaviors, and underlying factors influencing these practices in Asian Indian mothers, qualitative in-depth interviews were conducted with 27 immigrant Asian Indian mothers of children ages 5-10 years. Using the theory of planned behavior as a guiding framework, child feeding behaviors employed, beliefs about the outcomes of feeding behaviors, perceived ease or difficultly in practicing feeding behaviors, and social norms were explored during the interviews. Thematic analysis was conducted using coding and display matrices. Mothers were motivated by nutrition outcomes when practicing positive and negative controlling feeding behaviors. Outcomes related to preservation of Indian culture and values also influenced feeding behaviors. Pressuring to eat was often practiced despite the perception of ineffectiveness. Use of food rewards was found, and use of TV to control children's food intake despite the clear understanding of undesirable nutrition outcomes was a unique finding. Asian Indian mothers need effective child feeding strategies that are culturally appropriate. Integrating cultural beliefs in nutrition education could help support existing motivation and behavior modification.

  9. Neurobiological approaches to a better understanding of human nature and human values

    Directory of Open Access Journals (Sweden)

    Gerald Hüther

    2006-04-01

    Full Text Available The most important finding made in the field of neurobiological research during the last decade is the discovery of the enormous experience-dependent plasticity of the human brain. The elaboration and stabilization of synaptic connectivity, and therefore, the complexity of neuronal networks in the higher brain centres depend to a far greater extent than previously believed on how – or rather, for which purpose – an individual uses his brain, the goals pursued, the experiences made in the course of his life, the models used for orientation, the values providing stability and eliciting a sense of commitment. The transmission and internalization of culture-specific abilities and of culture-specific values is achieved primarily during childhood by nonverbal communication (mirror neuron system, imitation learning as well as by implicit and explicit experiences (reward system, avoidance and reinforcement learning. Therefore the structural and functional organization of the human brain is crucially determined by social and cultural factors. Especially the frontal cortex with its highly complex neuronal networks involved in executive functions, evaluation an decision making must be conceptualized as a social, culturally shaped construct. The most important prerequisites for the transgenerational transmission of human values and their deep implementation into the higher frontocortical networks of the brains of subsequent generations are secure affectional relationships and a broad spectrum of different challenges. Only under such conditions, children are able to stabilize sufficiently complex networks and internal representations for metacognitive competences in their brains. This delicate process of experience-dependent organization of neuronal connectivity is seriously and often also persistently hampered or prematurely terminated by uncontrollable stress experiences. This danger ought be minimized by education programs aiming at the implementation

  10. Using video technology to disseminate behavioral procedures: a review of Functional Analysis: a Guide for Understanding Challenging Behavior (DVD).

    Science.gov (United States)

    Carr, James E; Fox, Eric J

    2009-01-01

    Although applied behavior analysis has generated many highly effective behavior-change procedures, the procedures have not always been effectively disseminated. One solution to this problem is the use of video technology, which has been facilitated by the ready availability of video production equipment and software and multiple distribution methods (e.g., DVD, online streaming). We review a recent DVD that was produced to disseminate the successful experimental functional analysis procedure. The review is followed by general recommendations for disseminating behavior-analytic procedures via video technology.

  11. Human & dog in urban environment: Could basic IMS standards help to improve human & dog mutual understanding?

    Directory of Open Access Journals (Sweden)

    Andreeva Elena E.

    2016-01-01

    Full Text Available Modern life, particularly urban one, is well regulated. Standards are developed for almost every sphere of human activities including proper treatment of nature and different working processes. IMS standards, particularly ISO 14001 and ISO 9001, are widely spread. In this human made environment we indicated some space and rules for pets, dogs in particular, how to behave, eat, walk, then for us the advices how to become their pack leaders… Also we could apply some widely used requirements and rules from IMS (Integrated Management Systems standards for dogs' owners, trainers and breeders. But we'd better always keep in mind that dogs are animals, a part of nature. Why not to see our attitude to dogs through these standards we invented to preserve nature and improve working processes? It will help to put aside the anthropocentric position and to look at dogs as a specific world that exists side by side with ours and that we only learn how to respect and communicate with.

  12. Evaluation of the influence of parental anxiety on children's behavior and understanding children's dental anxiety after sequential dental visits

    OpenAIRE

    Swapnali Dilip Shinde; Rahul J Hegde

    2017-01-01

    Background: Identifying anxiety levels of parents accompanying their children can help the clinician in designing the behavior management strategies for the child. In addition, continued dental experience can improve the child's response, indicating desensitization to dental stress. Aims: To evaluate the influence of parental anxiety on children's behavior and understanding children's dental anxiety after sequential dental visits. Materials and Methods: A total of 175 children of age 6–12 yea...

  13. Uniform Local Binary Pattern Based Texture-Edge Feature for 3D Human Behavior Recognition

    OpenAIRE

    Ming, Yue; Wang, Guangchao; Fan, Chunxiao

    2015-01-01

    With the rapid development of 3D somatosensory technology, human behavior recognition has become an important research field. Human behavior feature analysis has evolved from traditional 2D features to 3D features. In order to improve the performance of human activity recognition, a human behavior recognition method is proposed, which is based on a hybrid texture-edge local pattern coding feature extraction and integration of RGB and depth videos information. The paper mainly focuses on backg...

  14. Are animal models useful or confusing in understanding the human feto-maternal relationship? A debate.

    Science.gov (United States)

    Chaouat, Gérard; Clark, David A

    2015-04-01

    The proposition "This house agrees that the proper study of man is woman" was debated. For those negating the proposition, the alternative was that "animal models are useful in understanding the human feto-maternal relationship." Evidence for the proposition emphasized molecular and structural differences between the human and animal placenta and placentation. Evidence against the proposition and in favor of the alternative focused on functional and structural homologies, emphasizing that different molecules could be used in humans to achieve similar functional effects seen in animal (e.g., mouse) models. It was agreed that one always needed to test the validity of animal data by studying humans. The advantages and limitations of animal models were discussed. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  15. Human behavior preceding dog bites to the face.

    Science.gov (United States)

    Rezac, P; Rezac, K; Slama, P

    2015-12-01

    Facial injuries caused by dog bites pose a serious problem. The aims of this study were to determine human behavior immediately preceding a dog bite to the face and to assess the effects of victim age and gender and dog sex and size on the location of the bite to the face and the need for medical treatment. Complete data on 132 incidents of bites to the face were analysed. A human bending over a dog, putting the face close to the dog's face, and gazing between victim and dog closely preceded a dog bite to the face in 76%, 19% and 5% of cases, respectively. More than half of the bites were directed towards the central area of the victim's face (nose, lips). More than two thirds of the victims were children, none of the victims was an adult dog owner and only adult dogs bit the face. Victim's age and gender and dog's sex and size did not affect the location of the bite on the face. People who were bitten by large dogs sought medical treatment more often than people who were bitten by small dogs (P face close to the dog's face and gazing between human and dog should be avoided, and children should be carefully and constantly supervised when in the presence of dogs. Copyright © 2015 Elsevier Ltd. All rights reserved.

  16. Understanding caregivers' intentions for their child to walk to school: Further application of the theory of planned behavior.

    Science.gov (United States)

    Schuster, Lisa; Kubacki, Krzysztof; Rundle-Thiele, Sharyn

    2016-01-01

    Increases in childhood obesity have coincided with declines in active transportation to school. This research builds on largely atheoretical extant literature examining factors that influence walk-to-school behavior through application of the theory of planned behavior (TPB). Understanding caregivers' decision for their child to walk to/from school is key to developing interventions to promote this cost-effective and accessible health behavior. The results from an online survey of 512 caregivers provide support for the TPB, highlighting the important role of subjective norms. This suggests marketers should nurture caregivers' perception that important others approve of walking to school.

  17. What's the point? Golden and Labrador retrievers living in kennels do not understand human pointing gestures.

    Science.gov (United States)

    D'Aniello, Biagio; Alterisio, Alessandra; Scandurra, Anna; Petremolo, Emanuele; Iommelli, Maria Rosaria; Aria, Massimo

    2017-07-01

    In many studies that have investigated whether dogs' capacities to understand human pointing gestures are aspects of evolutionary or developmental social competences, family-owned dogs have been compared to shelter dogs. However, for most of these studies, the origins of shelter dogs were unknown. Some shelter dogs may have lived with families before entering shelters, and from these past experiences, they may have learned to understand human gestures. Furthermore, there is substantial variation in the methodology and analytic approaches used in such studies (e.g. different pointing protocols, different treatment of trials with no-choice response and indoor vs. outdoor experimental arenas). Such differences in methodologies and analysis techniques used make it difficult to compare results obtained from different studies and may account for the divergent results obtained. We thus attempted to control for several parameters by carrying out a test on dynamic proximal and distal pointing. We studied eleven kennel dogs of known origin that were born and raised in a kennels with limited human interaction. This group was compared to a group of eleven dogs comparable in terms of breed, sex and age that had lived with human families since they were puppies. Our results demonstrate that pet dogs outperform kennel dogs in their comprehension of proximal and distal pointing, regardless of whether trials where no-choice was made were considered as errors or were excluded from statistical analysis, meaning that dogs living in kennels do not understand pointing gestures. Even if genetic effects of the domestication process on human-dog relationships cannot be considered as negligible, our data suggest that dogs need to learn human pointing gestures and thus underscore the importance of ontogenetic processes.

  18. Insights from the Den: How Hibernating Bears May Help Us Understand and Treat Human Disease.

    Science.gov (United States)

    Berg von Linde, Maria; Arevström, Lilith; Fröbert, Ole

    2015-10-01

    Hibernating brown bears (Ursus arctos) and black bears (Ursus americanus) spend half of the year in a physically inactive state inside their winter dens without food intake and defecating and no or little urination. Under similar extreme conditions, humans would suffer from loss of lean body mass, heart failure, thrombosis, azotemia, osteoporosis, and more. However, bears exit the den in the spring strong without organ injuries. Translational animal models are used in human medicine but traditional experimental animals have several shortcomings; thus, we believe that it is time to systematically explore new models. In this review paper, we describe physiological adaptations of hibernating bears and how similar adaptations in humans could theoretically alleviate medical conditions. The bear has solved most of the health challenges faced by humans, including heart and kidney disease, atherosclerosis and thrombosis, and muscle wasting and osteoporosis. Understanding and applying this library of information could lead to a number of major discoveries that could have implications for the understanding and treatment of human disease. © 2015 Wiley Periodicals, Inc.

  19. The moderating role of human values in planned behavior

    DEFF Research Database (Denmark)

    Zhou, Y.; Thøgersen, John; Ruan, Y.

    2013-01-01

    Purpose – This article aims to study the role of personal values as moderators of the antecedents of consumers’ “green” buying intentions in the context of Chinese consumers’ inclination to buy organic food. Design/methodology/approach – Ordinary Chinese consumers (n ¼ 479) were intercepted...... and filled out a questionnaire outside upscale supermarkets in Guangzhou. Multigroup structural equation modeling was used to test hypotheses about personal values’ moderating effect in the theory of planned behavior. Findings – Self-transcendence values moderate the relationship between two antecedents...... contribute positively to the development of the economy. Originality/value – This article extends the rare literature analyzing Chinese consumers’ inclination to buy organic food. It also extends the understanding of the role of personal values as moderators of antecedents of consumers’ buying intentions...

  20. Data-Driven Modeling of Target Human Behavior in Military Operations (Briefing Charts)

    Science.gov (United States)

    2012-03-12

    is to develop data-based general approaches to modeling and simulation of human behavior and quantitative methods of verification and validation. Crowd...behavior data were collected under controlled laboratory conditions. Mathematical models of human behavior were derived which were then coded into

  1. Data-Driven Modeling of Target Human Behavior in Military Operations

    Science.gov (United States)

    2014-03-12

    to develop data-based general approaches to modeling and simulation of human behavior and quantitative methods of verification and validation. Crowd...behavior data were collected under controlled laboratory conditions. Mathematical models of human behavior were derived which were then coded into

  2. Understanding the molecular mechanisms of human microtia via a pig model of HOXA1 syndrome

    Directory of Open Access Journals (Sweden)

    Ruimin Qiao

    2015-06-01

    Full Text Available Microtia is a congenital malformation of the outer ears. Although both genetic and environmental components have been implicated in microtia, the genetic causes of this innate disorder are poorly understood. Pigs have naturally occurring diseases comparable to those in humans, providing exceptional opportunity to dissect the molecular mechanism of human inherited diseases. Here we first demonstrated that a truncating mutation in HOXA1 causes a monogenic disorder of microtia in pigs. We further performed RNA sequencing (RNA-Seq analysis on affected and healthy pig embryos (day 14.25. We identified a list of 337 differentially expressed genes (DEGs between the normal and mutant samples, shedding light on the transcriptional network involving HOXA1. The DEGs are enriched in biological processes related to cardiovascular system and embryonic development, and neurological, renal and urological diseases. Aberrant expressions of many DEGs have been implicated in human innate deformities corresponding to microtia-associated syndromes. After applying three prioritizing algorithms, we highlighted appealing candidate genes for human microtia from the 337 DEGs. We searched for coding variants of functional significance within six candidate genes in 147 microtia-affected individuals. Of note, we identified one EVC2 non-synonymous mutation (p.Asp1174Asn as a potential disease-implicating variant for a human microtia-associated syndrome. The findings advance our understanding of the molecular mechanisms underlying human microtia, and provide an interesting example of the characterization of human disease-predisposing variants using pig models.

  3. Human behavior in Prisoner's Dilemma experiments suppresses network reciprocity

    Science.gov (United States)

    Gracia-Lázaro, Carlos; Cuesta, José A.; Sánchez, Angel; Moreno, Yamir

    2012-03-01

    During the last few years, much research has been devoted to strategic interactions on complex networks. In this context, the Prisoner's Dilemma has become a paradigmatic model, and it has been established that imitative evolutionary dynamics lead to very different outcomes depending on the details of the network. We here report that when one takes into account the real behavior of people observed in the experiments, both at the mean-field level and on utterly different networks, the observed level of cooperation is the same. We thus show that when human subjects interact in a heterogeneous mix including cooperators, defectors and moody conditional cooperators, the structure of the population does not promote or inhibit cooperation with respect to a well mixed population.

  4. Physiological Markers of Motor Inhibition during Human Behavior.

    Science.gov (United States)

    Duque, Julie; Greenhouse, Ian; Labruna, Ludovica; Ivry, Richard B

    2017-04-01

    Transcranial magnetic stimulation (TMS) studies in humans have shown that many behaviors engage processes that suppress excitability within the corticospinal tract. Inhibition of the motor output pathway has been extensively studied in the context of action stopping, where a planned movement needs to be abruptly aborted. Recent TMS work has also revealed markers of motor inhibition during the preparation of movement. Here, we review the evidence for motor inhibition during action stopping and action preparation, focusing on studies that have used TMS to monitor changes in the excitability of the corticospinal pathway. We discuss how these physiological results have motivated theoretical models of how the brain selects actions, regulates movement initiation and execution, and switches from one state to another. Copyright © 2017 Elsevier Ltd. All rights reserved.

  5. Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language: Computational techniques are presented to analyze and model expressed and perceived human behavior-variedly characterized as typical, atypical, distressed, and disordered-from speech and language cues and their applications in health, commerce, education, and beyond.

    Science.gov (United States)

    Narayanan, Shrikanth; Georgiou, Panayiotis G

    2013-02-07

    The expression and experience of human behavior are complex and multimodal and characterized by individual and contextual heterogeneity and variability. Speech and spoken language communication cues offer an important means for measuring and modeling human behavior. Observational research and practice across a variety of domains from commerce to healthcare rely on speech- and language-based informatics for crucial assessment and diagnostic information and for planning and tracking response to an intervention. In this paper, we describe some of the opportunities as well as emerging methodologies and applications of human behavioral signal processing (BSP) technology and algorithms for quantitatively understanding and modeling typical, atypical, and distressed human behavior with a specific focus on speech- and language-based communicative, affective, and social behavior. We describe the three important BSP components of acquiring behavioral data in an ecologically valid manner across laboratory to real-world settings, extracting and analyzing behavioral cues from measured data, and developing models offering predictive and decision-making support. We highlight both the foundational speech and language processing building blocks as well as the novel processing and modeling opportunities. Using examples drawn from specific real-world applications ranging from literacy assessment and autism diagnostics to psychotherapy for addiction and marital well being, we illustrate behavioral informatics applications of these signal processing techniques that contribute to quantifying higher level, often subjectively described, human behavior in a domain-sensitive fashion.

  6. Weather and place-based human behavior: recreational preferences and sensitivity.

    Science.gov (United States)

    de Freitas, C R

    2015-01-01

    This study examines the links between biometeorological variables and the behavior of beach recreationists along with their rating of overall weather conditions. To identify and describe significance of on-site atmospheric conditions, two separate forms of response are examined. The first is sensory perception of the immediate atmospheric surround expressed verbally, which was the subject of earlier work. In the research reported here, on-site observations of behavior that reflect the effects of weather and climate are examined. By employing, independently, separate indicators of on-site experience, the reliability of each is examined and interpreted and apparent threshold conditions verified. The study site is King's Beach located on the coast of Queensland, Australia. On-site observations of atmospheric variables and beach user behavior are made for the daylight hours of 45 days spread over a 12-month period. The results show that behavioral data provide reliable and meaningful indications of the significance of the atmospheric environment for leisure. Atmospheric conditions within the zone of acceptability are those that the beach users can readily cope with or modify by a range of minor behavioral adjustments. Optimal weather conditions appear to be those requiring no specific behavioral adjustment. Attendance levels reflect only the outer limits of acceptability of the meteorological environment, while duration of visit enables calibration of levels of approval in so far as it reflects rating of on-site weather within a broad zone of tolerance. In a broad theoretical sense, the results add to an understanding of the relationship between weather and human behavior. This information is potentially useful in effective tourism management and planning.

  7. Weather and place-based human behavior: recreational preferences and sensitivity

    Science.gov (United States)

    de Freitas, C. R.

    2015-01-01

    This study examines the links between biometeorological variables and the behavior of beach recreationists along with their rating of overall weather conditions. To identify and describe significance of on-site atmospheric conditions, two separate forms of response are examined. The first is sensory perception of the immediate atmospheric surround expressed verbally, which was the subject of earlier work. In the research reported here, on-site observations of behavior that reflect the effects of weather and climate are examined. By employing, independently, separate indicators of on-site experience, the reliability of each is examined and interpreted and apparent threshold conditions verified. The study site is King's Beach located on the coast of Queensland, Australia. On-site observations of atmospheric variables and beach user behavior are made for the daylight hours of 45 days spread over a 12-month period. The results show that behavioral data provide reliable and meaningful indications of the significance of the atmospheric environment for leisure. Atmospheric conditions within the zone of acceptability are those that the beach users can readily cope with or modify by a range of minor behavioral adjustments. Optimal weather conditions appear to be those requiring no specific behavioral adjustment. Attendance levels reflect only the outer limits of acceptability of the meteorological environment, while duration of visit enables calibration of levels of approval in so far as it reflects rating of on-site weather within a broad zone of tolerance. In a broad theoretical sense, the results add to an understanding of the relationship between weather and human behavior. This information is potentially useful in effective tourism management and planning.

  8. Human turnover dynamics during sleep: Statistical behavior and its modeling

    Science.gov (United States)

    Yoneyama, Mitsuru; Okuma, Yasuyuki; Utsumi, Hiroya; Terashi, Hiroo; Mitoma, Hiroshi

    2014-03-01

    Turnover is a typical intermittent body movement while asleep. Exploring its behavior may provide insights into the mechanisms and management of sleep. However, little is understood about the dynamic nature of turnover in healthy humans and how it can be modified in disease. Here we present a detailed analysis of turnover signals that are collected by accelerometry from healthy elderly subjects and age-matched patients with neurodegenerative disorders such as Parkinson's disease. In healthy subjects, the time intervals between consecutive turnover events exhibit a well-separated bimodal distribution with one mode at ⩽10 s and the other at ⩾100 s, whereas such bimodality tends to disappear in neurodegenerative patients. The discovery of bimodality and fine temporal structures (⩽10 s) is a contribution that is not revealed by conventional sleep recordings with less time resolution (≈30 s). Moreover, we estimate the scaling exponent of the interval fluctuations, which also shows a clear difference between healthy subjects and patients. We incorporate these experimental results into a computational model of human decision making. A decision is to be made at each simulation step between two choices: to keep on sleeping or to make a turnover, the selection of which is determined dynamically by comparing a pair of random numbers assigned to each choice. This decision is weighted by a single parameter that reflects the depth of sleep. The resulting simulated behavior accurately replicates many aspects of observed turnover patterns, including the appearance or disappearance of bimodality and leads to several predictions, suggesting that the depth parameter may be useful as a quantitative measure for differentiating between normal and pathological sleep. These findings have significant clinical implications and may pave the way for the development of practical sleep assessment technologies.

  9. The role of strategic groups in understanding strategic human resource management

    OpenAIRE

    Gannon, Judie; Doherty, Liz; Roper, Angela

    2012-01-01

    Purpose – This article explores how understanding the challenges faced by companies’ attempts to create competitive advantage through their human resources and HRM practices can be enhanced by insights into the concept of strategic groups within industries. Based within the international hotel industry this study identifies how strategic groups emerge in the analysis of HRM practices and approaches. It sheds light on the value of strategic groups as a way of readdressing the focus on firm and...

  10. Personal assistance for disabled people and the understanding of human being

    OpenAIRE

    Mladenov, Teodor

    2012-01-01

    This paper explores personal assistance - a practice considered crucial for supporting the independence and social inclusion of disabled people. The starting point of the analysis is the presumption that the significance of personal assistance goes well beyond welfare, touching upon existential-ontological issues. In order to uncover these issues, a phenomenological approach is used. The aim is to highlight the understanding of human being which is mediated by an internationally prominent mod...

  11. Nanosized fibers' effect on adult human articular chondrocytes behavior

    International Nuclear Information System (INIS)

    Stenhamre, Hanna; Thorvaldsson, Anna; Enochson, Lars; Walkenström, Pernilla; Lindahl, Anders; Brittberg, Mats; Gatenholm, Paul

    2013-01-01

    Tissue engineering with chondrogenic cell based therapies is an expanding field with the intention of treating cartilage defects. It has been suggested that scaffolds used in cartilage tissue engineering influence cellular behavior and thus the long-term clinical outcome. The objective of this study was to assess whether chondrocyte attachment, proliferation and post-expansion re-differentiation could be influenced by the size of the fibers presented to the cells in a scaffold. Polylactic acid (PLA) scaffolds with different fiber morphologies were produced, i.e. microfiber (MS) scaffolds as well as nanofiber-coated microfiber scaffold (NMS). Adult human articular chondrocytes were cultured in the scaffolds in vitro up to 28 days, and the resulting constructs were assessed histologically, immunohistochemically, and biochemically. Attachment of cells and serum proteins to the scaffolds was affected by the architecture. The results point toward nano-patterning onto the microfibers influencing proliferation of the chondrocytes, and the overall 3D environment having a greater influence on the re-differentiation. In the efforts of finding the optimal scaffold for cartilage tissue engineering, studies as the current contribute to the knowledge of how to affect and control chondrocytes behavior. - Highlights: ► Chondrocyte behavior in nanofiber-coated microfiber versus microfiber scaffolds ► High porosity (> 90%) and large pore sizes (a few hundred μm) of nanofibrous scaffolds ► Proliferation enhanced by presence of nanofibers ► Differentiation not significantly affected ► Cell attachment improved in presence of both nanofibers and serum

  12. AUTHENTICITY OF HUMAN BEHAVIOR IN FREUD AND HEIDEGGER

    Directory of Open Access Journals (Sweden)

    IONUŢ ŞTEFAN

    2016-11-01

    Full Text Available The research theme is the question of the authenticity of human behavior examined from two perspectives: the psychoanalytical one, developed by Sigmund Freud, and the one of philosophy of being embodied by Martin Heidegger. As concerns the Freudian psychoanalysis, I am primarily interested in the conflict among: self, ego, and superego. Because of the requisitions of the supergo, the subject mostly behaves according to the censorships imposed by this psychic instance. The self, dominated by sexuality and aggressiveness, exhibits the pulsional tendency to manifest itself in the conscious behavior of the individual. As regards the Heideggerian endeavor, I am interested in distinguishing between the authentic and non-authentic existences. In Heidegger’s vision, the nonauthentic existence manifests when we are living together with the others in society. This is the horizon of the impersonal “as it is done”, the Heideggerian das Man, which may be understood by the three dimensions: curiosity, ambiguity, and chatter. The authentic existence manifests when the individuals live on their own, in privacy, and acknowledge the fact that their existence develops over a strictly determined time period, the imminent confrontation with their own death coming closer and closer.

  13. Humanizing outer space: architecture, habitability, and behavioral health

    Science.gov (United States)

    Harrison, Albert A.

    2010-03-01

    Space architecture is the theory and practice of designing and building environments for humans in outer space. In our present century professional astronauts and cosmonauts will remain a focus for space architects, but new designs must better accommodate passengers (tourists and industrial workers) and settlers who set forth to establish off-world societies. Psychologists and architects can work together to assure good spaceflight behavioral health, defined by a lack of neuropsychiatric dysfunction, and the presence of high levels of personal adjustment, cordial interpersonal relations, and positive interactions with the physical and social environments. By designing and constructing facilities that are occupant centered and activity oriented, architects increase habitability thereby decreasing environmental challenges to behavioral health. Simulators and spaceflight-analogous environments make it possible to test design solutions prior to their deployment in space. This paper concludes with suggestions for increasing collaboration between architects and psychologists. These include increased sharing of hypotheses and data, articulating complementary research styles, and mutual advocacy for early, potent, and sustained involvement in mission planning and execution.

  14. The Shadow of the Past: studying the impact of typhoon Yolanda on human behavior

    Science.gov (United States)

    Kampenhuber, Lukas; Landmann, Andreas; Hayo, Bernd; Vollan, Björn

    2017-04-01

    The Philippines is one of the most exposed countries towards natural disasters in the world. Because of its location on the typhoon belt of the Pacific, the Philippines are exposed to an average of nineteen typhoons or tropical storms per year. One of the most devastating typhoons (Yolanda/Haiyan) occurred in 2013, with an approximate death toll of 6340 people. Following up on a study from 2012, we observe solidarity transfers in a lab-in-the-field experiment one year before and three years after typhoon Yolanda occurred. Based on this unique experimental panel-dataset we can define key elements that influence solidarity, such as fairness and effectiveness of disaster relief and potential corruption of governmental and non-governmental agencies. Furthermore we observe risk and time preferences across affected and non-affected regions and seek to get a better understanding of the effects of natural disasters on human behavior. Understanding the consequences of natural disasters on human behavior might be crucial to develop strategies to conquer the challenges that come with the increasing exposure to environmental risk. Furthermore, our study has important consequences for studies that seek to investigate the stability of economic preferences.

  15. HACIA EL COMPORTAMIENTO HUMANO MODERNO. NUEVAS APORTACIONES AL PALEOLÍTICO MEDIO FINAL EN EL VALLE DEL RÍO ARLANZA (HORTIGÜELA, BURGOS, ESPAÑA (Understanding modern human behavior. New contributions from the later Middle Paleolithic in the Arlanza river valley

    Directory of Open Access Journals (Sweden)

    Marta Navazo

    2010-12-01

    Full Text Available En el valle medio del Arlanza (Hortigüela, Burgos se conocen dos asentamientos musterienses ya clásicos en la bibliografía: Millán y La Ermita. En este trabajo se incorporan estudios que permiten un mejor y actualizado conocimiento de los mismos en base al análisis de uno de los niveles de Millán, la caracterización geoquímica de los afloramientos de sílex de la zona, y del material arqueológico, para conocer las fuentes de aprovisionamiento; y los sistemas de explotación y configuración de ambas cavidades. El estudio derivado del valle medio del Arlanza, a partir de sus características tecnológicas y cronología (Paleolítico medio final, da pie para abordar un interesante debate abierto sobre el surgimiento del comportamiento humano moderno, reflexionando sobre si las características que han servido para definir dicha conducta son exclusivas del Homo sapiens o si, por el contrario, esos procesos de cambio ya estaban presentes al final del Paleolítico medio. ENGLISH: In the middle valley of the Arlanza river (Hortigüela, Burgos, two classic Mousterian sites, Millán and La Ermita, have been documented. This paper enhances and updates the previously known information about these sites. The study includes the analysis of one of the Millán levels, geochemical characterization of the flint outcrops in the zone and artifacts found in the archaeological record, with a view to ascertaining lithic material sources, and the exploitation systems characterizing both sites. The chronological position of these late Middle Paleolithic settlements facilitates a discussion about whether the characteristics that have served to define modern human behavior are exclusive to Homo sapiens or if, on the contrary, the markers of change were already present at the end of the Middle Paleolithic.

  16. From evolution to revolution: understanding mutability in large and disruptive human groups

    Science.gov (United States)

    Whitaker, Roger M.; Felmlee, Diane; Verma, Dinesh C.; Preece, Alun; Williams, Grace-Rose

    2017-05-01

    Over the last 70 years there has been a major shift in the threats to global peace. While the 1950's and 1960's were characterised by the cold war and the arms race, many security threats are now characterised by group behaviours that are disruptive, subversive or extreme. In many cases such groups are loosely and chaotically organised, but their ideals are sociologically and psychologically embedded in group members to the extent that the group represents a major threat. As a result, insights into how human groups form, emerge and change are critical, but surprisingly limited insights into the mutability of human groups exist. In this paper we argue that important clues to understand the mutability of groups come from examining the evolutionary origins of human behaviour. In particular, groups have been instrumental in human evolution, used as a basis to derive survival advantage, leaving all humans with a basic disposition to navigate the world through social networking and managing their presence in a group. From this analysis we present five critical features of social groups that govern mutability, relating to social norms, individual standing, status rivalry, ingroup bias and cooperation. We argue that understanding how these five dimensions interact and evolve can provide new insights into group mutation and evolution. Importantly, these features lend themselves to digital modeling. Therefore computational simulation can support generative exploration of groups and the discovery of latent factors, relevant to both internal group and external group modelling. Finally we consider the role of online social media in relation to understanding the mutability of groups. This can play an active role in supporting collective behaviour, and analysis of social media in the context of the five dimensions of group mutability provides a fresh basis to interpret the forces affecting groups.

  17. Soil-transmitted helminthiases: implications of climate change and human behavior.

    Science.gov (United States)

    Weaver, Haylee J; Hawdon, John M; Hoberg, Eric P

    2010-12-01

    Soil-transmitted helminthiases (STHs) collectively cause the highest global burden of parasitic disease after malaria and are most prevalent in the poorest communities, especially in sub-Saharan Africa. Climate change is predicted to alter the physical environment through cumulative impacts of warming and extreme fluctuations in temperature and precipitation, with cascading effects on human health and wellbeing, food security and socioeconomic infrastructure. Understanding how the spectrum of climate change effects will influence STHs is therefore of critical importance to the control of the global burden of human parasitic disease. Realistic progress in the global control of STH in a changing climate requires a multidisciplinary approach that includes the sciences (e.g. thermal thresholds for parasite development and resilience) and social sciences (e.g. behavior and implementation of education and sanitation programs). Copyright © 2010 Elsevier Ltd. All rights reserved.

  18. An association rule mining-based framework for understanding lifestyle risk behaviors.

    Directory of Open Access Journals (Sweden)

    So Hyun Park

    Full Text Available OBJECTIVES: This study investigated the prevalence and patterns of lifestyle risk behaviors in Korean adults. METHODS: We utilized data from the Fourth Korea National Health and Nutrition Examination Survey for 14,833 adults (>20 years of age. We used association rule mining to analyze patterns of lifestyle risk behaviors by characterizing non-adherence to public health recommendations related to the Alameda 7 health behaviors. The study variables were current smoking, heavy drinking, physical inactivity, obesity, inadequate sleep, breakfast skipping, and frequent snacking. RESULTS: Approximately 72% of Korean adults exhibited two or more lifestyle risk behaviors. Among women, current smoking, obesity, and breakfast skipping were associated with inadequate sleep. Among men, breakfast skipping with additional risk behaviors such as physical inactivity, obesity, and inadequate sleep was associated with current smoking. Current smoking with additional risk behaviors such as inadequate sleep or breakfast skipping was associated with physical inactivity. CONCLUSION: Lifestyle risk behaviors are intercorrelated in Korea. Information on patterns of lifestyle risk behaviors could assist in planning interventions targeted at multiple behaviors simultaneously.

  19. Integrating Norm Activation Model and Theory of Planned Behavior to Understand Sustainable Transport Behavior: Evidence from China

    Directory of Open Access Journals (Sweden)

    Yuwei Liu

    2017-12-01

    Full Text Available With increasing urbanization in China, many cities are facing serious environmental problems due to continuous and substantial increase in automobile transportation. It is becoming imperative to examine effective ways to reduce individual automobile use to facilitate sustainable transportation behavior. Empirical, theory-based research on sustainable transportation in China is limited. In this research, we propose an integrated model based on the norm activation model and the theory of planned behavior by combining normative and rational factors to predict individuals’ intention to reduce car use. Data from a survey of 600 car drivers in China’s three metropolitan areas was used to test the proposed model and hypotheses. Results showed that three variables, perceived norm of car-transport reduction, attitude towards reduction, and perceived behavior control over car-transport reduction, significantly affected the intention to reduce car-transport. Personal norms mediated the relationship between awareness of consequences of car-transport, ascription of responsibility of car-transport, perceived subjective norm for car-transport reduction, and intention to reduce car-transport. The results of this research not only contribute to theory development in the area of sustainable transportation behavior, but also provide a theoretical frame of reference for relevant policy-makers in urban transport management.

  20. Understanding Physical Activity Behavior in African American and Caucasian College Students: An Application of the Theory of Planned Behavior

    Science.gov (United States)

    Blanchard, Chris; Fisher, Janet; Sparling, Phil; Nehl, Erich; Rhodes, Ryan; Courneya, Kerry; Baker, Frank

    2008-01-01

    Only 30% of college students meet the recommended amount of physical activity (PA) for health benefits, and this number is lower for African American students. Moreover, the correlates of PA may vary by ethnicity. Objective: In the present study, the authors tested the utility of the theory of planned behavior for explaining PA intentions and…

  1. Understanding strength exercise intentions and behavior in hematologic cancer survivors: an analysis of the intention-behavior gap.

    Science.gov (United States)

    Vallerand, James R; Rhodes, Ryan E; Walker, Gordon J; Courneya, Kerry S

    2016-12-01

    Strength exercise improves many health outcomes in cancer survivors but the prevalence and correlates of strength exercise have not been well-described. Moreover, no study has examined the critical intention-behavior gap for exercise in cancer survivors. The aims of this study are to quantify the intention-behavior gap for strength exercise in hematologic cancer survivors (HCS) and examine correlates of both intention formation and translation using the multi-process action control framework (M-PAC). A random sample of 2100 HCS in Alberta, Canada, were mailed a survey assessing strength exercise behavior, the M-PAC, and demographic/medical variables. Separate logistic regressions were used to analyze the relationships between the correlates and intention formation and translation. Surveys were completed by 606 HCS with 58 % (n = 353) intending to do strength exercise. HCS who were not retired (OR = 1.56, p = 0.001), were highly educated (OR = 1.32, p = 0.001), and had a favorable attitude (OR = 1.56, p exercise intention. Of those with an exercise intention, 51 % (n = 181) reported regular strength exercise. HCS with a detailed plan (OR = 1.86, p strength exercise and only half of intenders translated that intention into behavior. Interventions targeting both intention formation and translation may provide the best approach for increasing strength exercise in HCS.

  2. Integrating Norm Activation Model and Theory of Planned Behavior to Understand Sustainable Transport Behavior: Evidence from China.

    Science.gov (United States)

    Liu, Yuwei; Sheng, Hong; Mundorf, Norbert; Redding, Colleen; Ye, Yinjiao

    2017-12-18

    With increasing urbanization in China, many cities are facing serious environmental problems due to continuous and substantial increase in automobile transportation. It is becoming imperative to examine effective ways to reduce individual automobile use to facilitate sustainable transportation behavior. Empirical, theory-based research on sustainable transportation in China is limited. In this research, we propose an integrated model based on the norm activation model and the theory of planned behavior by combining normative and rational factors to predict individuals' intention to reduce car use. Data from a survey of 600 car drivers in China's three metropolitan areas was used to test the proposed model and hypotheses. Results showed that three variables, perceived norm of car-transport reduction, attitude towards reduction, and perceived behavior control over car-transport reduction, significantly affected the intention to reduce car-transport. Personal norms mediated the relationship between awareness of consequences of car-transport, ascription of responsibility of car-transport, perceived subjective norm for car-transport reduction, and intention to reduce car-transport. The results of this research not only contribute to theory development in the area of sustainable transportation behavior, but also provide a theoretical frame of reference for relevant policy-makers in urban transport management.

  3. Applying Self-Efficacy Theory to Understanding the Behavioral Expectations of College Students with Disabilities in Requesting Accommodations

    Science.gov (United States)

    Snitker-Magin, Mikael C.

    2010-01-01

    The purpose of the study was to apply Bandura's self-efficacy theory to understanding the behavior of college students with disabilities in requesting accommodations. Students with disabilities were recruited from 20 two-year and four-year postsecondary institutions by asking student disabilities services staff to forward an email invitation to…

  4. MULTIPLE HUMAN TRACKING IN COMPLEX SITUATION BY DATA ASSIMILATION WITH PEDESTRIAN BEHAVIOR MODEL

    Directory of Open Access Journals (Sweden)

    W. Nakanishi

    2012-07-01

    Full Text Available A new method of multiple human tracking is proposed. The key concept is that to assume a tracking process as a data assimilation process. Despite the importance of understanding pedestrian behavior in public space with regard to achieving more sophisticated space design and flow control, automatic human tracking in complex situation is still challenging when people move close to each other or are occluded by others. For this difficulty, we stochastically combine existing tracking method by image processing with simulation models of walking behavior. We describe a system in a form of general state space model and define the components of the model according to the review on related works. Then we apply the proposed method to the data acquired at the ticket gate of the railway station. We show the high performance of the method, as well as compare the result with other model to present the advantage of integrating the behavior model to the tracking method. We also show the method's ability to acquire passenger flow information such as ticket gate choice and OD data automatically from the tracking result.

  5. Understanding the Impact of Human Mobility Patterns on Taxi Drivers’ Profitability Using Clustering Techniques: A Case Study in Wuhan, China

    Directory of Open Access Journals (Sweden)

    Hasan A. H. Naji

    2017-06-01

    Full Text Available Taxi trajectories reflect human mobility over the urban roads’ network. Although taxi drivers cruise the same city streets, there is an observed variation in their daily profit. To reveal the reasons behind this issue, this study introduces a novel approach for investigating and understanding the impact of human mobility patterns (taxi drivers’ behavior on daily drivers’ profit. Firstly, a K-means clustering method is adopted to group taxi drivers into three profitability groups according to their driving duration, driving distance and income. Secondly, the cruising trips and stopping spots for each profitability group are extracted. Thirdly, a comparison among the profitability groups in terms of spatial and temporal patterns on cruising trips and stopping spots is carried out. The comparison applied various methods including the mash map matching method and DBSCAN clustering method. Finally, an overall analysis of the results is discussed in detail. The results show that there is a significant relationship between human mobility patterns and taxi drivers’ profitability. High profitability drivers based on their experience earn more compared to other driver groups, as they know which places are more active to cruise and to stop and at what times. This study provides suggestions and insights for taxi companies and taxi drivers in order to increase their daily income and to enhance the efficiency of the taxi industry.

  6. Understanding specificity in metabolic pathways--structural biology of human nucleotide metabolism.

    Science.gov (United States)

    Welin, Martin; Nordlund, Pär

    2010-05-21

    Interactions are the foundation of life at the molecular level. In the plethora of activities in the cell, the evolution of enzyme specificity requires the balancing of appropriate substrate affinity with a negative selection, in order to minimize interactions with other potential substrates in the cell. To understand the structural basis for enzyme specificity, the comparison of structural and biochemical data between enzymes within pathways using similar substrates and effectors is valuable. Nucleotide metabolism is one of the largest metabolic pathways in the human cell and is of outstanding therapeutic importance since it activates and catabolises nucleoside based anti-proliferative drugs and serves as a direct target for anti-proliferative drugs. In recent years the structural coverage of the enzymes involved in human nucleotide metabolism has been dramatically improved and is approaching completion. An important factor has been the contribution from the Structural Genomics Consortium (SGC) at Karolinska Institutet, which recently has solved 33 novel structures of enzymes and enzyme domains in human nucleotide metabolism pathways and homologs thereof. In this review we will discuss some of the principles for substrate specificity of enzymes in human nucleotide metabolism illustrated by a selected set of enzyme families where a detailed understanding of the structural determinants for specificity is now emerging. 2010. Published by Elsevier Inc.

  7. Continuous Timescale Long-Short Term Memory Neural Network for Human Intent Understanding

    Directory of Open Access Journals (Sweden)

    Zhibin Yu

    2017-08-01

    Full Text Available Understanding of human intention by observing a series of human actions has been a challenging task. In order to do so, we need to analyze longer sequences of human actions related with intentions and extract the context from the dynamic features. The multiple timescales recurrent neural network (MTRNN model, which is believed to be a kind of solution, is a useful tool for recording and regenerating a continuous signal for dynamic tasks. However, the conventional MTRNN suffers from the vanishing gradient problem which renders it impossible to be used for longer sequence understanding. To address this problem, we propose a new model named Continuous Timescale Long-Short Term Memory (CTLSTM in which we inherit the multiple timescales concept into the Long-Short Term Memory (LSTM recurrent neural network (RNN that addresses the vanishing gradient problem. We design an additional recurrent connection in the LSTM cell outputs to produce a time-delay in order to capture the slow context. Our experiments show that the proposed model exhibits better context modeling ability and captures the dynamic features on multiple large dataset classification tasks. The results illustrate that the multiple timescales concept enhances the ability of our model to handle longer sequences related with human intentions and hence proving to be more suitable for complex tasks, such as intention recognition.

  8. Understanding specificity in metabolic pathways-Structural biology of human nucleotide metabolism

    International Nuclear Information System (INIS)

    Welin, Martin; Nordlund, Paer

    2010-01-01

    Interactions are the foundation of life at the molecular level. In the plethora of activities in the cell, the evolution of enzyme specificity requires the balancing of appropriate substrate affinity with a negative selection, in order to minimize interactions with other potential substrates in the cell. To understand the structural basis for enzyme specificity, the comparison of structural and biochemical data between enzymes within pathways using similar substrates and effectors is valuable. Nucleotide metabolism is one of the largest metabolic pathways in the human cell and is of outstanding therapeutic importance since it activates and catabolises nucleoside based anti-proliferative drugs and serves as a direct target for anti-proliferative drugs. In recent years the structural coverage of the enzymes involved in human nucleotide metabolism has been dramatically improved and is approaching completion. An important factor has been the contribution from the Structural Genomics Consortium (SGC) at Karolinska Institutet, which recently has solved 33 novel structures of enzymes and enzyme domains in human nucleotide metabolism pathways and homologs thereof. In this review we will discuss some of the principles for substrate specificity of enzymes in human nucleotide metabolism illustrated by a selected set of enzyme families where a detailed understanding of the structural determinants for specificity is now emerging.

  9. Understanding the Personality and Behavioral Mechanisms Defining Hypersexuality in Men Who Have Sex With Men.

    Science.gov (United States)

    Miner, Michael H; Romine, Rebecca Swinburne; Raymond, Nancy; Janssen, Erick; MacDonald, Angus; Coleman, Eli

    2016-09-01

    Hypersexuality has been conceptualized as sexual addiction, compulsivity, and impulsivity, among others, in the absence of strong empirical data in support of any specific conceptualization. To investigate personality factors and behavioral mechanisms that are relevant to hypersexuality in men who have sex with men. A sample of 242 men who have sex with men was recruited from various sites in a moderate-size mid-western city. Participants were assigned to a hypersexuality group or a control group using an interview similar to the Structured Clinical Interview for the Diagnostic and Statistical Manual for Mental Disorders, Fourth Edition. Self-report inventories were administered that measured the broad personality constructs of positive emotionality, negative emotionality, and constraint and more narrow constructs related to sexual behavioral control, behavioral activation, behavioral inhibition, sexual excitation, sexual inhibition, impulsivity, attention-deficit/hyperactivity disorder, and sexual behavior. Hierarchical logistic regression was used to determine the relation between these personality and behavioral variables and group membership. A hierarchical logistic regression controlling for age showed a significant positive relation between hypersexuality and negative emotionality and a negative relation with constraint. None of the behavioral mechanism variables entered this equation. However, a hierarchical multiple regression analysis predicting sexual behavioral control indicated that lack of such control was positively related to sexual excitation and sexual inhibition owing to the threat of performance failure and negatively related to sexual inhibition owing to the threat of performance consequences and general behavioral inhibition Hypersexuality was found to be related to two broad personality factors that are characterized by emotional reactivity, risk taking, and impulsivity. The associated lack of sexual behavior control is influenced by sexual

  10. A Language for Modeling Cultural Norms, Biases and Stereotypes for Human Behavior Models

    National Research Council Canada - National Science Library

    Solomon, Steven; van Lent, Michael; Core, Mark; Carpenter, Paul; Rosenberg, Milton

    2008-01-01

    .... The Culturally-Affected Behavior project seeks to define a language for encoding ethnographic data in order to capture cultural knowledge and use that knowledge to affect human behavior models...

  11. Genetics of Human Sexual Behavior: Where We Are, Where We Are Going.

    Science.gov (United States)

    Jannini, Emmanuele A; Burri, Andrea; Jern, Patrick; Novelli, Giuseppe

    2015-04-01

    One of the never-ending debates in the developing field of sexual medicine is the extent to which genetics and experiences (i.e., "nature and nurture") contribute to sexuality. The debate continues despite the fact that these two sides have different abilities to create a scientific environment to support their cause. Contemporary genetics has produced plenty of recent evidence, however, not always confirmed or sufficiently robust. On the other hand, the more traditional social theorists, frequently without direct evidence confirming their positions, criticize, sometimes with good arguments, the methods and results of the other side. The aim of this article is to critically evaluate existent evidence that used genetic approaches to understand human sexuality. An expert in sexual medicine (E.A.J.), an expert in medical genetics (G.N.), and two experts in genetic epidemiology and quantitative genetics, with particular scientific experience in female sexual dysfunction (A.B.) and in premature ejaculation (P.J.), contributed to this review. Expert opinion supported by critical review of the currently available literature. The existing literature on human sexuality provides evidence that many sexuality-related behaviors previously considered to be the result of cultural influences (such as mating strategies, attractiveness and sex appeal, propensity to fidelity or infidelity, and sexual orientation) or dysfunctions (such as premature ejaculation or female sexual dysfunction) seem to have a genetic component. Current evidence from genetic epidemiologic studies underlines the existence of biological and congenital factors regulating male and female sexuality. However, these relatively recent findings ask for replication in methodologically more elaborated studies. Clearly, increased research efforts are needed to further improve understanding the genetics of human sexuality. Jannini EA, Burri A, Jern P, and Novelli G. Genetics of human sexual behavior: Where we are, where

  12. Integration of human behavior expectations in training: human behavior simulator; Integracion de las expectativas de comportamiento humano en la formacion: simulacion de comportamiento humano

    Energy Technology Data Exchange (ETDEWEB)

    Obeso Torices, E.

    2012-07-01

    The analysis of operating experience in nuclear Sta Maria de Garona point to fundamental human factor. After evaluation of the Peer Review, reinforcing behavior expectations was identified as improvement area. The human behavior simulator aims at minimizing human error. Making teamwork practices ensures that the equipment itself reinforces their behavior and performance in the work of the Central. The scope of practice to perform on the simulator includes all phases of execution. The team should analyze the best way to run, the impact of it on the ground and interaction with other sections, being the simulator training environment the situation closer to reality.

  13. Understanding work-related social media use: An extension of theory of planned behavior.

    NARCIS (Netherlands)

    van Zoonen, W.; Verhoeven, J.W.M.; Elving, W.J.L.

    2014-01-01

    This study examines the motives of employees to engage in work related social media use - i.e. the use of personal social media accounts to communicate about work-related issues. The theory of planned behavior (TPB) was used to explain this behavior. Because social media can enable users to express

  14. Understanding mechanisms of change in the development of antisocial behavior: The impact of a universal intervention

    NARCIS (Netherlands)

    P.A.C. van Lier (Pol); P. Vuijk (Patricia); A.A.M. Crijnen (Alfons)

    2005-01-01

    textabstractThe association between the development of antisocial behavior, affiliation with deviant friends, and peer rejection was tested with a preventive intervention; 664 boys and girls were randomly assigned to a universal classroom-based intervention targeting disruptive behavior or a control

  15. Chemical approaches to understanding the environmental behavior of Pu, Np, and Tc

    International Nuclear Information System (INIS)

    Bondietti, E.A.

    1978-01-01

    Some topics discussed are as follows: speciation behavior of Pu, Np, and Tc; thermodynamic and radiochemical behavior; sorption studies with soils; Pu oxidation states in fresh water; Np oxidation states in soils; effect of oxidation state of Tc on environmental transport predictions; and thermodynamic calculations of Tc speciation

  16. Parental Cognitions, Parental Behavior, and the Child's Understanding of the Parent-Child Relationship.

    Science.gov (United States)

    Dekovic, Maja; And Others

    1991-01-01

    Studied the relationship of parental reasoning complexity to parental behavior during parent-child interactions, and the effect of this relationship on children's social cognitions. Results indicate that parental reasoning complexity is related to parental behaviors of restrictive control, authoritative control, and support, which, in turn, are…

  17. Understanding Soccer Team Supporters' Behavior and Culture in a Globalized Society from Social Learning Theory

    Science.gov (United States)

    Lee, Seungbum; Han, Keunsu

    2012-01-01

    Whereas there have been many academic studies on European soccer team supporters, relatively few studies have looked at supporters in Asia, especially regarding their supporting behavior and culture. Broadly, the purpose of this paper is to describe the behavior and culture of supporters of the Korean professional soccer league (K-League).…

  18. Affective and Behavioral Responses to Robot-Initiated Social Touch: Toward Understanding the Opportunities and Limitations of Physical Contact in Human–Robot Interaction

    Directory of Open Access Journals (Sweden)

    Christian J. A. M. Willemse

    2017-05-01

    Full Text Available Social touch forms an important aspect of the human non-verbal communication repertoire, but is often overlooked in human–robot interaction. In this study, we investigated whether robot-initiated touches can induce physiological, emotional, and behavioral responses similar to those reported for human touches. Thirty-nine participants were invited to watch a scary movie together with a robot that spoke soothing words. In the Touch condition, these words were accompanied by a touch on the shoulder. We hypothesized that this touch—as compared with no touch—could (H1 attenuate physiological [heart rate (variability, skin conductance, cortisol, and respiration rate] and subjective stress responses that were caused by the movie. Moreover, we expected that a touch could (H2 decrease aversion toward the movie, (H3 increase positive perceptions of the robot (e.g., its appearance and one’s attitude toward it, and (H4 increase compliance to the robot’s request to make a monetary donation. Although the movie did increase arousal as intended, none of the hypotheses could be confirmed. Our findings suggest that merely simulating a human touching action with the robot’s limbs is insufficient to elicit physiological, emotional, and behavioral responses in this specific context and with this amount of participants. To inform future research on the opportunities and limitations of robot-initiated touch, we reflect on our methodology and identify dimensions that may play a role in physical human–robot interactions: e.g., the robot’s touching behavior, its appearance and behavior, the user’s personality, the body location where the touch is applied, and the (social context of the interaction. Social touch can only become an integral and effective part of a robot’s non-verbal communication repertoire, when we better understand if, and under which boundary conditions such touches can elicit responses in humans.

  19. Harsh Parenting, Deviant Peers, Adolescent Risky Behavior: Understanding the Meditational Effect of Attitudes and Intentions.

    Science.gov (United States)

    Neppl, Tricia K; Dhalewadikar, Jui; Lohman, Brenda J

    2016-09-01

    Although research supports the influence of parents and peers on adolescent risky behavior, less is known about mechanisms proposed to explain this relation. This study examined the influence of adolescent attitudes and intentions about such behaviors. Prospective, longitudinal data came from rural youth who participated throughout adolescence (n= 451). Observed harsh parenting and relationship with deviant peers was assessed in early adolescence, attitudes and intentions were measured during middle adolescence, and risky behavior was assessed in late adolescence. Results indicated that parenting and deviant peers was related to engagement in tobacco use, alcohol use, and risky sexual behaviors. Moreover, attitudes and intentions mediated this relationship even after parent use and adolescent early involvement in these behaviors were taken into account.

  20. Reward-based behaviors and emotional processing in human with narcolepsy-cataplexy

    Directory of Open Access Journals (Sweden)

    Sophie eBayard

    2013-05-01

    Full Text Available ajor advances in the past decade have led a better understanding of the pathophysiology of narcolepsy with cataplexy caused by the early loss of hypothalamic hypocretin neurons. Although a role for hypocretin in the regulation of sleep/wakefulness state is widely recognized, other functions, not necessarily related to arousal, have been identified. Hence, the hypocretin system enhances signaling in the mesolimbic pathways regulating reward processing, emotion and mood regulation, and addiction. Although studies on hypocretin-deficient mice have shown that hypocretin plays an essential role in reward-seeking, depression-like behavior and addiction, results in human narcolepsy remained subject to debate. Most of studies revealed that hypocretin-deficient narcolepsy patients either drug-free or medicated with psychostimulant had preferences towards risky choices in a decision-making task under ambiguity together with higher frequency of depressive symptoms and binge eating disorder compared to controls. However, human studies mostly reported the lack of association with pathological impulsivity and gambling, and substance and alcohol abuse in the context of narcolepsy-cataplexy. Prospective larger studies are required to confirm these findings in drug-free and medicated patients with narcolepsy. Inclusion of patients with other central hypersomnias without hypocretin deficiency will provide answer to the major question of the role of the hypocretin system in reward-based behaviors and emotional processing in humans.

  1. Understanding coupling between natural and human systems to ensure disease resilient societies

    Science.gov (United States)

    Jutla, A.; Nguyen, T. H.; Colwell, R. R.; Akanda, A. S.

    2016-12-01

    Human well-being is one of the key long-term indicators of a sustainable environment. John Snow, a prominent 19th century physician, provided insights on the role of drinking contaminated water and cholera outbreak(s). Extrapolation of Snow's discovery on locating source of cholera bacteria (in local wells) lead to the tenets of traditional doctrines of environmental sustainability of water where source capacities (such as physical condition of water) are directly linked to sink capacities (e.g., bacterial growth in water) of a system, a balance that must be maintained to sustain human life supporting mechanisms. With a changing climate, stress on availability of safe drinking water is likely to increase, particularly where population vulnerability intersects with hydroclimatic extremes. This raises a critical question on how environmental sustainability of water will affect human societies. A dynamic equilibrium exists between large scale geophysical (e.g., sea surface temperature-SST; precipitation, evaporative fluxes) and local scale water-ecological processes (salinity, plankton, organic matter) in water resources (ponds, rivers, lakes). The ecological processes aid in growth and proliferation of water based pathogens (such as cholera, Rotavirus, Shigella and other vibrios). Societal determinants, such as access to safe drinking water and sanitation facilities, defines interaction of human population with water. The feedback loop, between geophysical and water-ecological processes is fundamental to ensure a sustainable environment for human well-being. However, the feedback loops are often misconstrued resulting in massive loss of human life, and further leading to outbreak of diseases at various spatial and temporal scales across region(s). Using historical data on Cholera and Zika virus as examples, we will demonstrate the intricacies involved in understanding coupled human-natural system. The two infections result from a very different asymmetric

  2. Gut microbiota: next frontier in understanding human health and development of biotherapeutics

    Directory of Open Access Journals (Sweden)

    Prakash S

    2011-07-01

    Full Text Available Satya Prakash, Laetitia Rodes, Michael Coussa-Charley, Catherine Tomaro-DuchesneauBiomedical Technology and Cell Therapy Research Laboratory, Department of Biomedical Engineering and Artificial Cells and Organs Research Centre, Faculty of Medicine, McGill University, Montreal, Quebec, CanadaAbstract: The gut microbiota is a remarkable asset for human health. As a key element in the development and prevention of specific diseases, its study has yielded a new field of promising biotherapeutics. This review provides comprehensive and updated knowledge of the human gut microbiota, its implications in health and disease, and the potentials and limitations of its modification by currently available biotherapeutics to treat, prevent and/or restore human health, and future directions. Homeostasis of the gut microbiota maintains various functions which are vital to the maintenance of human health. Disruption of the intestinal ecosystem equilibrium (gut dysbiosis is associated with a plethora of human diseases, including autoimmune and allergic diseases, colorectal cancer, metabolic diseases, and bacterial infections. Relevant underlying mechanisms by which specific intestinal bacteria populations might trigger the development of disease in susceptible hosts are being explored across the globe. Beneficial modulation of the gut microbiota using biotherapeutics, such as prebiotics, probiotics, and antibiotics, may favor health-promoting populations of bacteria and can be exploited in development of biotherapeutics. Other technologies, such as development of human gut models, bacterial screening, and delivery formulations eg, microencapsulated probiotics, may contribute significantly in the near future. Therefore, the human gut microbiota is a legitimate therapeutic target to treat and/or prevent various diseases. Development of a clear understanding of the technologies needed to exploit the gut microbiota is urgently required.Keywords: gut microbiota, human

  3. Understanding the self-assembly process and behavior of metal-seamed pyrogallol[4]arene nanocapsules

    Science.gov (United States)

    Mossine, Andrew V.

    time of measurement as well as the solvent system during synthesis were also performed. Furthermore, SANS was also used to study Fe3+-PgC complexes. These complexes are difficult if not impossible to crystallize, and therefore cannot be studied using scXRD. SANS was used in conjunction with elemental analysis to deduce a structure for these materials. In addition to understanding the synthesis of MONCs, another goal was to also use them for other (possibly practical) purposes. To this end, PgC-based MONCs were used as building blocks in metal-organic frameworks (MOFs). This involved the use of divergent ligands to "link" capsular monomers together, resulting in one and two dimensional frameworks. This work not only produced functional materials that may be useful in future research efforts, but also showed that exo-ligand exchange can be used to derivatize MONCs into potentially useful and functional materials. The introduction of radioisotopes into the nanocapsule was another method by which functionality could theoretically be imparted into MONCs. It was envisioned that MONCs could potentially be used as carrier systems for radioisotopes, and thereby function as agents for therapy or medical imaging. Copper hexamers constructed from 64Cu2+ were therefore prepared and studied in a living system. However, these studies were unsuccessful at showing that the copper-seamed MONCs differed in behavior from 64Cu in vivo, either due to poor labeling efficiency or metabolism. Nevertheless, radiolabeling of hexameric nanocapsules was helpful in broadening our understanding of these materials. Some of the studies that were conducted include those that gauge the solubility and stability of nanocapsules, as well as others that explore the conditions required for cationic uptake and exchange.

  4. The Study on Human-Computer Interaction Design Based on the Users’ Subconscious Behavior

    Science.gov (United States)

    Li, Lingyuan

    2017-09-01

    Human-computer interaction is human-centered. An excellent interaction design should focus on the study of user experience, which greatly comes from the consistence between design and human behavioral habit. However, users’ behavioral habits often result from subconsciousness. Therefore, it is smart to utilize users’ subconscious behavior to achieve design's intention and maximize the value of products’ functions, which gradually becomes a new trend in this field.

  5. Multi-Agent Simulation of Human Behavior in Naval Air Defense

    Science.gov (United States)

    2004-10-01

    TECHNICAL 3. DATES COVERED (From - To) APR 2002-MAR 2003 4. TITLE AND SUBTITLE MULTI-AGENT SIMULATION OF HUMAN BEHAVIOR IN NAVAL AIR DEFENSE...34’-... ··-· ~ ... ,_,. .. ~- PAGE 57 ---------- ·~­- From Multi-Agent Simulation of Human Behavior in Naval Air Defense, Figure 2: Example view of...of Human Behavior in Naval Air Defense." lt is based on the AEGIS Crwser Au-Defense Commander Simulation Program, which models the operations of a

  6. Medical Drama Viewing and Healthy Lifestyle Behaviors: Understanding the Role of Health Locus of Control Beliefs and Education Level.

    Science.gov (United States)

    Kim, Sungsu; Baek, Young Min

    2017-11-22

    The present study advances the understanding of how medical drama viewing influences healthy lifestyle behaviors (e.g., smoking, exercising, and consuming vegetables) by examining the role of the health locus of control (HLOC) beliefs and education level. An analysis of nationally representative data reveals that watching medical dramas is positively associated with chance and powerful others' HLOC beliefs. In addition, healthy lifestyle behaviors are positively associated with the internal HLOC belief and are negatively associated with the chance and powerful others' HLOC beliefs. Research findings demonstrate that there are indirect effects of medical drama viewing on these behaviors via chance and powerful others' HLOC beliefs. The indirect effect through the powerful others' HLOC belief is also contingent on the education level. The implications for the role of HLOC beliefs and education level in terms of the effects of medical dramas on health-promoting behaviors are discussed.

  7. Understanding Irrigator Bidding Behavior in Australian Water Markets in Response to Uncertainty

    Directory of Open Access Journals (Sweden)

    Alec Zuo

    2014-11-01

    Full Text Available Water markets have been used by Australian irrigators as a way to reduce risk and uncertainty in times of low water allocations and rainfall. However, little is known about how irrigators’ bidding trading behavior in water markets compares to other markets, nor is it known what role uncertainty and a lack of water in a variable and changing climate plays in influencing behavior. This paper studies irrigator behavior in Victorian water markets over a decade (a time period that included a severe drought. In particular, it studies the evidence for price clustering (when water bids/offers end mostly around particular numbers, a common phenomenon present in other established markets. We found that clustering in bid/offer prices in Victorian water allocation markets was influenced by uncertainty and strategic behavior. Water traders evaluate the costs and benefits of clustering and act according to their risk aversion levels. Water market buyer clustering behavior was mostly explained by increased market uncertainty (in particular, hotter and drier conditions, while seller-clustering behavior is mostly explained by strategic behavioral factors which evaluate the costs and benefits of clustering.

  8. What Happened, and Why: Toward an Understanding of Human Error Based on Automated Analyses of Incident Reports. Volume 1

    Science.gov (United States)

    Maille, Nicolas P.; Statler, Irving C.; Ferryman, Thomas A.; Rosenthal, Loren; Shafto, Michael G.; Statler, Irving C.

    2006-01-01

    The objective of the Aviation System Monitoring and Modeling (ASMM) project of NASA s Aviation Safety and Security Program was to develop technologies that will enable proactive management of safety risk, which entails identifying the precursor events and conditions that foreshadow most accidents. This presents a particular challenge in the aviation system where people are key components and human error is frequently cited as a major contributing factor or cause of incidents and accidents. In the aviation "world", information about what happened can be extracted from quantitative data sources, but the experiential account of the incident reporter is the best available source of information about why an incident happened. This report describes a conceptual model and an approach to automated analyses of textual data sources for the subjective perspective of the reporter of the incident to aid in understanding why an incident occurred. It explores a first-generation process for routinely searching large databases of textual reports of aviation incident or accidents, and reliably analyzing them for causal factors of human behavior (the why of an incident). We have defined a generic structure of information that is postulated to be a sound basis for defining similarities between aviation incidents. Based on this structure, we have introduced the simplifying structure, which we call the Scenario as a pragmatic guide for identifying similarities of what happened based on the objective parameters that define the Context and the Outcome of a Scenario. We believe that it will be possible to design an automated analysis process guided by the structure of the Scenario that will aid aviation-safety experts to understand the systemic issues that are conducive to human error.

  9. Understanding Challenges in the Front Lines of Home Health Care: A Human-Systems Approach

    Science.gov (United States)

    Beer, Jenay M.; McBride, Sara E.; Mitzner, Tracy L.; Rogers, Wendy A.

    2014-01-01

    A human-systems perspective is a fruitful approach to understanding home health care because it emphasizes major individual components of the system – persons, equipment/technology, tasks, and environments –as well as the interaction between these components. The goal of this research was to apply a human-system perspective to consider the capabilities and limitations of the persons, in relation to the demands of the tasks and equipment/technology in home health care. Identification of challenges and mismatches between the person(s) capabilities and the demands of providing care provide guidance for human factors interventions. A qualitative study was conducted with 8 home health Certified Nursing Assistants and 8 home health Registered Nurses interviewed about challenges they encounter in their jobs. A systematic categorization of the challenges the care providers reported was conducted and human factors recommendations were proposed in response, to improve home health. The challenges inform a human-systems model of home health care. PMID:24958610

  10. Aspects of elephant behavior, ecology, and interactions with humans

    Science.gov (United States)

    O'Connell, Caitlin Elizabeth

    This dissertation is comprised of two chapters relating to the acoustic behavior of elephants, their surrounding ecology and interactions with humans. The first chapter investigates the seismic aspects of Asian elephant (Elephus maximus) acoustic communication. The second chapter is comprised of a synthesis of two separate studies conducted on the African elephant (Loxodonta africana) in Namibia, both in Etosha National Park and the Caprivi region. The two studies were combined and published in Biological Conservation as one large study on aspects of the economic and social impacts of elephant/human conflict and experiments conducted to reduce conflict. In chapter one, seismic and acoustic data were recorded simultaneously from Asian elephants during periods of vocalizations and locomotion. Acoustic and seismic signals from rumbles were highly correlated at near and far distances and were in phase near the elephant and were out of phase at an increased distance from the elephant. Data analyses indicated that elephant generated signals associated with rumbles and "foot stomps" propagated at different velocities in the two media, the acoustic signals traveling at 309 m/s and the seismic signals at 248--264 m/s. Both types of signals had predominant frequencies in the range of 20 Hz. Seismic signal amplitudes considerably above background noise were recorded at 40 m from the generating elephants for both the rumble and the stomp. Seismic propagation models suggest that seismic waveforms from vocalizations are potentially detectable by instruments at distances of up to 16 km, and up to 32 km for locomotion generated signals. Thus, if detectable by elephants, these seismic signals could be useful for long distance communication. In chapter two, the economic impact of elephants, Loxodonta africana , and predators, particularly lions, Panthera leo, on rural agriculturists in the Kwando region of the East Caprivi, Namibia was assessed from the years 1991 to 1995. Elephants

  11. Cultural influences on children's understanding of the human body and the concept of life.

    Science.gov (United States)

    Panagiotaki, Georgia; Nobes, Gavin

    2014-09-01

    This study aimed to identify the age by which children begin to demonstrate a biological understanding of the human body and the idea that the purpose of body functioning is to maintain life. The study also explored the influence of education, culturally specific experiences and religion on knowledge acquisition in this domain. Children aged between 4 and 7 years from three different cultural backgrounds (White British, British Muslim, and Pakistani Muslim) were interviewed about the human body and its functioning. At least half of the 4- to 5-year-olds in each cultural group, and almost all 6- to 7-year-olds, referred to the maintenance of life when explaining organs' functions and so were classified as 'life theorizers'. Pakistani Muslim children gave fewer biological responses to questions about organs' functions and the purpose of eating and breathing, but referred to life more than their British counterparts. Irrespective of cultural group, older children understood organ location and function better than younger children. These findings support Jaakkola and Slaughter's (2002, Br. J. Dev. Psychol., 20, 325) view that children's understanding of the body as a 'life machine' emerges around the ages of 4-5 years. They also suggest that, despite many similarities in children's ideas cross-culturally, different educational input and culturally specific experiences influence aspects of their biological understanding. © 2014 The British Psychological Society.

  12. Simulating Irrational Human Behavior to Prevent Resource Depletion

    Science.gov (United States)

    Sircova, Anna; Karimi, Fariba; Osin, Evgeny N.; Lee, Sungmin; Holme, Petter; Strömbom, Daniel

    2015-01-01

    In a situation with a limited common resource, cooperation between individuals sharing the resource is essential. However, people often act upon self-interest in irrational ways that threaten the long-term survival of the whole group. A lack of sustainable or environmentally responsible behavior is often observed. In this study, we examine how the maximization of benefits principle works in a wider social interactive context of personality preferences in order to gain a more realistic insight into the evolution of cooperation. We used time perspective (TP), a concept reflecting individual differences in orientation towards past, present, or future, and relevant for making sustainable choices. We developed a personality-driven agent-based model that explores the role of personality in the outcomes of social dilemmas and includes multiple facets of diversity: (1) The agents have different behavior strategies: individual differences derived by applying cluster analysis to survey data from 22 countries (N = 10,940) and resulting in 7 cross-cultural profiles of TP; (2) The non-uniform distribution of the types of agents across countries; (3) The diverse interactions between the agents; and (4) diverse responses to those interactions in a well-mixed population. As one of the results, we introduced an index of overall cooperation for each of the 22 countries, which was validated against cultural, economic, and sustainability indicators (HDI, dimensions of national culture, and Environment Performance Index). It was associated with higher human development, higher individualism, lower power distance, and better environmental performance. The findings illustrate how individual differences in TP can be simulated to predict the ways people in different countries solve the personal vs. common gain dilemma in the global limited-resource situation. This interdisciplinary approach to social simulation can be adopted to explain the possible causes of global environmental issues

  13. Simulating irrational human behavior to prevent resource depletion.

    Science.gov (United States)

    Sircova, Anna; Karimi, Fariba; Osin, Evgeny N; Lee, Sungmin; Holme, Petter; Strömbom, Daniel

    2015-01-01

    In a situation with a limited common resource, cooperation between individuals sharing the resource is essential. However, people often act upon self-interest in irrational ways that threaten the long-term survival of the whole group. A lack of sustainable or environmentally responsible behavior is often observed. In this study, we examine how the maximization of benefits principle works in a wider social interactive context of personality preferences in order to gain a more realistic insight into the evolution of cooperation. We used time perspective (TP), a concept reflecting individual differences in orientation towards past, present, or future, and relevant for making sustainable choices. We developed a personality-driven agent-based model that explores the role of personality in the outcomes of social dilemmas and includes multiple facets of diversity: (1) The agents have different behavior strategies: individual differences derived by applying cluster analysis to survey data from 22 countries (N = 10,940) and resulting in 7 cross-cultural profiles of TP; (2) The non-uniform distribution of the types of agents across countries; (3) The diverse interactions between the agents; and (4) diverse responses to those interactions in a well-mixed population. As one of the results, we introduced an index of overall cooperation for each of the 22 countries, which was validated against cultural, economic, and sustainability indicators (HDI, dimensions of national culture, and Environment Performance Index). It was associated with higher human development, higher individualism, lower power distance, and better environmental performance. The findings illustrate how individual differences in TP can be simulated to predict the ways people in different countries solve the personal vs. common gain dilemma in the global limited-resource situation. This interdisciplinary approach to social simulation can be adopted to explain the possible causes of global environmental issues

  14. Simulating irrational human behavior to prevent resource depletion.

    Directory of Open Access Journals (Sweden)

    Anna Sircova

    Full Text Available In a situation with a limited common resource, cooperation between individuals sharing the resource is essential. However, people often act upon self-interest in irrational ways that threaten the long-term survival of the whole group. A lack of sustainable or environmentally responsible behavior is often observed. In this study, we examine how the maximization of benefits principle works in a wider social interactive context of personality preferences in order to gain a more realistic insight into the evolution of cooperation. We used time perspective (TP, a concept reflecting individual differences in orientation towards past, present, or future, and relevant for making sustainable choices. We developed a personality-driven agent-based model that explores the role of personality in the outcomes of social dilemmas and includes multiple facets of diversity: (1 The agents have different behavior strategies: individual differences derived by applying cluster analysis to survey data from 22 countries (N = 10,940 and resulting in 7 cross-cultural profiles of TP; (2 The non-uniform distribution of the types of agents across countries; (3 The diverse interactions between the agents; and (4 diverse responses to those interactions in a well-mixed population. As one of the results, we introduced an index of overall cooperation for each of the 22 countries, which was validated against cultural, economic, and sustainability indicators (HDI, dimensions of national culture, and Environment Performance Index. It was associated with higher human development, higher individualism, lower power distance, and better environmental performance. The findings illustrate how individual differences in TP can be simulated to predict the ways people in different countries solve the personal vs. common gain dilemma in the global limited-resource situation. This interdisciplinary approach to social simulation can be adopted to explain the possible causes of global

  15. Do behavioral scientists really understand HIV-related sexual risk behavior? A systematic review of longitudinal and experimental studies predicting sexual behavior.

    Science.gov (United States)

    Huebner, David M; Perry, Nicholas S

    2015-10-01

    Behavioral interventions to reduce sexual risk behavior depend on strong health behavior theory. By identifying the psychosocial variables that lead causally to sexual risk, theories provide interventionists with a guide for how to change behavior. However, empirical research is critical to determining whether a particular theory adequately explains sexual risk behavior. A large body of cross-sectional evidence, which has been reviewed elsewhere, supports the notion that certain theory-based constructs (e.g., self-efficacy) are correlates of sexual behavior. However, given the limitations of inferring causality from correlational research, it is essential that we review the evidence from more methodologically rigorous studies (i.e., longitudinal and experimental designs). This systematic review identified 44 longitudinal studies in which investigators attempted to predict sexual risk from psychosocial variables over time. We also found 134 experimental studies (i.e., randomized controlled trials of HIV interventions), but of these only 9 (6.7 %) report the results of mediation analyses that might provide evidence for the validity of health behavior theories in predicting sexual behavior. Results show little convergent support across both types of studies for most traditional, theoretical predictors of sexual behavior. This suggests that the field must expand the body of empirical work that utilizes the most rigorous study designs to test our theoretical assumptions. The inconsistent results of existing research would indicate that current theoretical models of sexual risk behavior are inadequate, and may require expansion or adaptation.

  16. Racial Bias in Drivers' Yielding Behavior at Crosswalks : Understanding the Effect

    Science.gov (United States)

    2017-10-01

    This project explores social identity factors (race and gender) that influence drivers' behavior in interactions with pedestrians at crosswalks. One dangerous potential point of conflict for pedestrians within the transportation system is interaction...

  17. Understanding adolescent peer sexual harassment and abuse: using the theory of planned behavior.

    Science.gov (United States)

    Li, Man Yu; Frieze, Irene; Tang, Catherine So-kum

    2010-06-01

    This study examines intentions to take protective action against peer sexual harassment and abuse (PSHA). The theory of planned behavior (TPB) proposes that attitudes about protective action, perceptions of what others would think about doing this (subjective norms), and behavioral control would be important predictors. A total of 1,531 Chinese secondary school students (769 boys and 762 girls) from Hong Kong were surveyed to test this model. Results showed that the TPB model was predictive for girls, but only subjective norms and behavioral control significantly predicted boys' intentions to protect themselves. Results supported the influence of subjective norms and perceived behavioral control on youths' intentions to reject PSHA. These factors may be useful in guiding the development of an educational program for prevention of PSHA.

  18. A Better Understanding of Parental Emotional Socialization Behaviors With an Illustrative Context

    OpenAIRE

    Kılıç, Şükran

    2014-01-01

    The goal of this study is to provide an illustrative framework for synthesizing derived from a growing body of crucial studies on parental emotional socialization behaviors and processes with regard to children’s emotional competence. This explanatory perspective has also been tried to be established with other relevant parental characteristics. Explaining the parental emotional socialization behaviors are firstly established upon the parental styles which is one of the basic conc...

  19. Travel Behavior Change in Older Travelers: Understanding Critical Reactions to Incidents Encountered in Public Transport

    Directory of Open Access Journals (Sweden)

    Catherine Sundling

    2015-11-01

    Full Text Available Accessibility of travel may be better understood if psychological factors underlying change in travel behavior are known. This paper examines older (65+ travelers’ motives for changing their travel behavior. These changes are grounded in critical incidents earlier encountered in public-transport travel. A scientific framework is developed based on cognitive and behavioral theory. In 29 individual interviews, travelers’ critical reactions (i.e., cognitive, emotional, and/or behavioral to 77 critical incidents were examined. By applying critical incident technique (CIT, five reaction themes were identified that had generated travel-behavior change: firm restrictions, unpredictability, unfair treatment, complicated trips, and earlier adverse experiences. To improve older travelers’ access to public transport, key findings were: (a service must be designed so as to strengthen the feeling of being in control throughout the journey; (b extended personal service would increase predictability in the travel chain and decrease travel complexity; consequently, (c when designing new services and making effective accessibility interventions, policy makers should consider and utilize underlying psychological factors that could direct traveler behavior.

  20. Travel Behavior Change in Older Travelers: Understanding Critical Reactions to Incidents Encountered in Public Transport.

    Science.gov (United States)

    Sundling, Catherine

    2015-11-18

    Accessibility of travel may be better understood if psychological factors underlying change in travel behavior are known. This paper examines older (65+) travelers' motives for changing their travel behavior. These changes are grounded in critical incidents earlier encountered in public-transport travel. A scientific framework is developed based on cognitive and behavioral theory. In 29 individual interviews, travelers' critical reactions (i.e., cognitive, emotional, and/or behavioral) to 77 critical incidents were examined. By applying critical incident technique (CIT), five reaction themes were identified that had generated travel-behavior change: firm restrictions, unpredictability, unfair treatment, complicated trips, and earlier adverse experiences. To improve older travelers' access to public transport, key findings were: (a) service must be designed so as to strengthen the feeling of being in control throughout the journey; (b) extended personal service would increase predictability in the travel chain and decrease travel complexity; consequently, (c) when designing new services and making effective accessibility interventions, policy makers should consider and utilize underlying psychological factors that could direct traveler behavior.

  1. From Trust in Automation to Decision Neuroscience: Applying Cognitive Neuroscience Methods to Understand and Improve Interaction Decisions Involved in Human Automation Interaction.

    Science.gov (United States)

    Drnec, Kim; Marathe, Amar R; Lukos, Jamie R; Metcalfe, Jason S

    2016-01-01

    Human automation interaction (HAI) systems have thus far failed to live up to expectations mainly because human users do not always interact with the automation appropriately. Trust in automation (TiA) has been considered a central influence on the way a human user interacts with an automation; if TiA is too high there will be overuse, if TiA is too low there will be disuse. However, even though extensive research into TiA has identified specific HAI behaviors, or trust outcomes, a unique mapping between trust states and trust outcomes has yet to be clearly identified. Interaction behaviors have been intensely studied in the domain of HAI and TiA and this has led to a reframing of the issues of problems with HAI in terms of reliance and compliance. We find the behaviorally defined terms reliance and compliance to be useful in their functionality for application in real-world situations. However, we note that once an inappropriate interaction behavior has occurred it is too late to mitigate it. We therefore take a step back and look at the interaction decision that precedes the behavior. We note that the decision neuroscience community has revealed that decisions are fairly stereotyped processes accompanied by measurable psychophysiological correlates. Two literatures were therefore reviewed. TiA literature was extensively reviewed in order to understand the relationship between TiA and trust outcomes, as well as to identify gaps in current knowledge. We note that an interaction decision precedes an interaction behavior and believe that we can leverage knowledge of the psychophysiological correlates of decisions to improve joint system performance. As we believe that understanding the interaction decision will be critical to the eventual mitigation of inappropriate interaction behavior, we reviewed the decision making literature and provide a synopsis of the state of the art understanding of the decision process from a decision neuroscience perspective. We forward

  2. From Trust in Automation to Decision Neuroscience: Applying Cognitive Neuroscience Methods to Understand and Improve Interaction Decisions Involved in Human Automation Interaction

    Science.gov (United States)

    Drnec, Kim; Marathe, Amar R.; Lukos, Jamie R.; Metcalfe, Jason S.

    2016-01-01

    Human automation interaction (HAI) systems have thus far failed to live up to expectations mainly because human users do not always interact with the automation appropriately. Trust in automation (TiA) has been considered a central influence on the way a human user interacts with an automation; if TiA is too high there will be overuse, if TiA is too low there will be disuse. However, even though extensive research into TiA has identified specific HAI behaviors, or trust outcomes, a unique mapping between trust states and trust outcomes has yet to be clearly identified. Interaction behaviors have been intensely studied in the domain of HAI and TiA and this has led to a reframing of the issues of problems with HAI in terms of reliance and compliance. We find the behaviorally defined terms reliance and compliance to be useful in their functionality for application in real-world situations. However, we note that once an inappropriate interaction behavior has occurred it is too late to mitigate it. We therefore take a step back and look at the interaction decision that precedes the behavior. We note that the decision neuroscience community has revealed that decisions are fairly stereotyped processes accompanied by measurable psychophysiological correlates. Two literatures were therefore reviewed. TiA literature was extensively reviewed in order to understand the relationship between TiA and trust outcomes, as well as to identify gaps in current knowledge. We note that an interaction decision precedes an interaction behavior and believe that we can leverage knowledge of the psychophysiological correlates of decisions to improve joint system performance. As we believe that understanding the interaction decision will be critical to the eventual mitigation of inappropriate interaction behavior, we reviewed the decision making literature and provide a synopsis of the state of the art understanding of the decision process from a decision neuroscience perspective. We forward

  3. Advances in Understanding Energy Consumption Behavior and the Governance of Its Change – Outline of an Integrated Framework

    International Nuclear Information System (INIS)

    Burger, Paul; Bezençon, Valéry; Bornemann, Basil; Brosch, Tobias; Carabias-Hütter, Vicente; Farsi, Mehdi; Hille, Stefanie Lena; Moser, Corinne; Ramseier, Céline; Samuel, Robin; Sander, David; Schmidt, Stephan; Sohre, Annika; Volland, Benjamin

    2015-01-01

    Transforming today’s energy systems in industrialized countries requires a substantial reduction of the total energy consumption at the individual level. Selected instruments have been found to be effective in changing people’s behavior in single domains. However, the so far weak success story on reducing overall energy consumption indicates that our understanding of the determining factors of individual energy consumption as well as of its change is far from being conclusive. Among others, the scientific state of the art is dominated by analyzing single domains of consumption and by neglecting embodied energy. It also displays strong disciplinary splits and the literature often fails to distinguish between explaining behavior and explaining change of behavior. Moreover, there are knowledge gaps regarding the legitimacy and effectiveness of the governance of individual consumption behavior and its change. Against this backdrop, the aim of this paper is to establish an integrated interdisciplinary framework that offers a systematic basis for linking the different aspects in research on energy related consumption behavior, thus paving the way for establishing a better evidence base to inform societal actions. The framework connects the three relevant analytical aspects of the topic in question: (1) it systematically and conceptually frames the objects, i.e., the energy consumption behavior and its change (explananda); (2) it structures the factors that potentially explain the energy consumption behavior and its change (explanantia); (3) it provides a differentiated understanding of change inducing interventions in terms of governance. Based on the existing states of the art approaches from different disciplines within the social sciences, the proposed framework is supposed to guide interdisciplinary empirical research.

  4. Advances in Understanding Energy Consumption Behavior and the Governance of Its Change – Outline of an Integrated Framework

    Energy Technology Data Exchange (ETDEWEB)

    Burger, Paul, E-mail: paul.burger@unibas.ch [Sustainability Research Group, University of Basel, Basel (Switzerland); Bezençon, Valéry [Enterprise Institute, University of Neuchâtel, Neuchâtel (Switzerland); Bornemann, Basil [Sustainability Research Group, University of Basel, Basel (Switzerland); Brosch, Tobias [Department of Psychology, Swiss Center for Affective Sciences, University of Geneva, Geneva (Switzerland); Carabias-Hütter, Vicente [Institute of Sustainable Development, Zurich University of Applied Sciences, Winterthur (Switzerland); Farsi, Mehdi [Institute of Economic Research, University of Neuchâtel, Neuchâtel (Switzerland); Hille, Stefanie Lena [Institute for Economy and the Environment, University of St. Gallen, St. Gallen (Switzerland); Moser, Corinne [Institute of Sustainable Development, Zurich University of Applied Sciences, Winterthur (Switzerland); Ramseier, Céline [Center for Energy Policy and Economics, ETH Zurich, Zurich (Switzerland); Samuel, Robin [Institute of Sociology, University of Bern, Bern (Switzerland); Social Research and Methodology Group, University of Basel, Basel (Switzerland); Sander, David [Department of Psychology, Swiss Center for Affective Sciences, University of Geneva, Geneva (Switzerland); Schmidt, Stephan; Sohre, Annika [Sustainability Research Group, University of Basel, Basel (Switzerland); Volland, Benjamin [Institute of Economic Research, University of Neuchâtel, Neuchâtel (Switzerland)

    2015-06-15

    Transforming today’s energy systems in industrialized countries requires a substantial reduction of the total energy consumption at the individual level. Selected instruments have been found to be effective in changing people’s behavior in single domains. However, the so far weak success story on reducing overall energy consumption indicates that our understanding of the determining factors of individual energy consumption as well as of its change is far from being conclusive. Among others, the scientific state of the art is dominated by analyzing single domains of consumption and by neglecting embodied energy. It also displays strong disciplinary splits and the literature often fails to distinguish between explaining behavior and explaining change of behavior. Moreover, there are knowledge gaps regarding the legitimacy and effectiveness of the governance of individual consumption behavior and its change. Against this backdrop, the aim of this paper is to establish an integrated interdisciplinary framework that offers a systematic basis for linking the different aspects in research on energy related consumption behavior, thus paving the way for establishing a better evidence base to inform societal actions. The framework connects the three relevant analytical aspects of the topic in question: (1) it systematically and conceptually frames the objects, i.e., the energy consumption behavior and its change (explananda); (2) it structures the factors that potentially explain the energy consumption behavior and its change (explanantia); (3) it provides a differentiated understanding of change inducing interventions in terms of governance. Based on the existing states of the art approaches from different disciplines within the social sciences, the proposed framework is supposed to guide interdisciplinary empirical research.

  5. Snakes, evolution, behavior systems, and autism spectrum disorder. Comment on: ;Implications of the idea of neurodiversity for understanding the origins of developmental disorders; by Nobuo Masataka

    Science.gov (United States)

    Burghardt, Gordon M.

    2017-03-01

    Nobuo Masataka [1] has provided a novel and ambitious approach to understanding variations in mental and neural functioning in humans by embedding them in the concept of neurodiversity. He is particularly interested in Autism Spectrum Disorder (ASD) and views it as on a continuum falling within normal human behavioral variation. If this is true and ASD has been maintained in a population by selection, then, he argues, ASD individuals may have had survival advantages during the EEA (environment of evolutionary adaptiveness), before the advent of large and complex societies. After this point, properly interpreting and responding to social and global cues gained importance at the expense of detailed feature based processing of nonsocial features of the environment.

  6. Understanding determinants of government and consumer behavior relative to product safety : an application of the theory of planned behavior to China and the United States

    OpenAIRE

    Domke, Laura

    2008-01-01

    The following thesis applies Icek Ajzen's Theory of Planned Behavior to explain consumer and government response to safety of Chinese-made products sold in China and the United States. The thesis relies on secondary data as it considers the responses and actions relative to product safety by four different groups: Chinese government, U.S. government, Chinese consumers and U.S. consumers. Increased globalization has heightened the need for a better understanding and agreement...

  7. An essay concerning human understanding: how the cerebri anatome of Thomas Willis influenced John Locke.

    Science.gov (United States)

    Lega, Bradley C

    2006-03-01

    Neurosurgeons are familiar with the anatomic investigations of Thomas Willis, but his intellectual legacy actually extends into the arena of philosophy. John Locke was a student of Willis while at Oxford, and this essay explores how some of Willis's anatomic discoveries might have influenced the ideas Locke expressed in his Essay Concerning Human Understanding. It also includes historical information about 17th century England and the group of men (including Christopher Wren and Robert Boyle) who worked with Willis and founded the Oxford Experimental Philosophy Club, which became the Royal Society.

  8. Toward a better understanding of the impact of mass transit air pollutants on human health.

    Science.gov (United States)

    Kim, Ki-Hyun; Kumar, Pawan; Szulejko, Jan E; Adelodun, Adedeji A; Junaid, Muhammad Faisal; Uchimiya, Minori; Chambers, Scott

    2017-05-01

    Globally, modern mass transport systems whether by road, rail, water, or air generate airborne pollutants in both developing and developed nations. Air pollution is the primary human health concern originating from modern transportation, particularly in densely-populated urban areas. This review will specifically focus on the origin and the health impacts of carbonaceous traffic-related air pollutants (TRAP), including particulate matter (PM), volatile organic compounds (VOCs), and elemental carbon (EC). We conclude that the greatest current challenge regarding urban TRAP is understanding and evaluating the human health impacts well enough to set appropriate pollution control measures. Furthermore, we provide a detailed discussion regarding the effects of TRAP on local environments and pedestrian health in low and high traffic-density environments. Copyright © 2017 Elsevier Ltd. All rights reserved.

  9. Understanding Human Perception of Building Categories in Virtual 3d Cities - a User Study

    Science.gov (United States)

    Tutzauer, P.; Becker, S.; Niese, T.; Deussen, O.; Fritsch, D.

    2016-06-01

    Virtual 3D cities are becoming increasingly important as a means of visually communicating diverse urban-related information. To get a deeper understanding of a human's cognitive experience of virtual 3D cities, this paper presents a user study on the human ability to perceive building categories (e.g. residential home, office building, building with shops etc.) from geometric 3D building representations. The study reveals various dependencies between geometric properties of the 3D representations and the perceptibility of the building categories. Knowledge about which geometries are relevant, helpful or obstructive for perceiving a specific building category is derived. The importance and usability of such knowledge is demonstrated based on a perception-guided 3D building abstraction process.

  10. Modeling Humans as Reinforcement Learners: How to Predict Human Behavior in Multi-Stage Games

    Science.gov (United States)

    Lee, Ritchie; Wolpert, David H.; Backhaus, Scott; Bent, Russell; Bono, James; Tracey, Brendan

    2011-01-01

    This paper introduces a novel framework for modeling interacting humans in a multi-stage game environment by combining concepts from game theory and reinforcement learning. The proposed model has the following desirable characteristics: (1) Bounded rational players, (2) strategic (i.e., players account for one anothers reward functions), and (3) is computationally feasible even on moderately large real-world systems. To do this we extend level-K reasoning to policy space to, for the first time, be able to handle multiple time steps. This allows us to decompose the problem into a series of smaller ones where we can apply standard reinforcement learning algorithms. We investigate these ideas in a cyber-battle scenario over a smart power grid and discuss the relationship between the behavior predicted by our model and what one might expect of real human defenders and attackers.

  11. Understanding human thiol dioxygenase enzymes: structure to function, and biology to pathology.

    Science.gov (United States)

    Sarkar, Bibekananda; Kulharia, Mahesh; Mantha, Anil K

    2017-04-01

    Amino acid metabolism is a significant metabolic activity in humans, especially of sulphur-containing amino acids, methionine and cysteine (Cys). Cys is cytotoxic and neurotoxic in nature; hence, mammalian cells maintain a constant intracellular level of Cys. Metabolism of Cys is mainly regulated by two thiol dioxygenases: cysteine dioxygenase (CDO) and 2-aminoethanethiol dioxygenase (ADO). CDO and ADO are the only human thiol dioxygenases reported with a role in Cys metabolism and localized to mitochondria. This metabolic pathway is important in various human disorders, as it is responsible for the synthesis of antioxidant glutathione and is also for the synthesis of hypotaurine and taurine. CDO is the most extensively studied protein, whose high-resolution crystallographic structures have been solved. As compared to CDO, ADO is less studied, even though it has a key role in cysteamine metabolism. To further understand ADO's structure and function, the three-dimensional structures have been predicted from I-TASSER and SWISS-MODEL servers and validated with PROCHECK software. Structural superimposition approach using iPBA web server further confirmed near-identical structures (including active sites) for the predicted protein models of ADO as compared to CDO. In addition, protein-protein interaction and their association in patho-physiology are crucial in understanding protein functions. Both ADO and CDO interacting partner profiles have been presented using STRING database. In this study, we have predicted a 3D model structure for ADO and summarized the biological roles and the pathological consequences which are associated with the altered expression and functioning of ADO and CDO in case of cancer, neurodegenerative disorders and other human diseases. © 2017 The Authors. International Journal of Experimental Pathology © 2017 International Journal of Experimental Pathology.

  12. Symmetry States of the physical space: an expanded reference frame for understanding human consciousness.

    Science.gov (United States)

    Manek, Nisha J

    2012-01-01

    A remarkable phenomenon is taking place around the globe, one that I have been fortunate enough to witness and in which to participate. The relics of the historical Buddha, also known as Siddhartha or Shakyamuni Buddha, still survive today over 2500 years since his enlightenment, and, for the first time in history, are traveling throughout the world. In common Buddhist practice, relics are highly venerated and treasured remains of realized Masters. It is very rare for relics to travel from city to city and be available for viewing by the general public. The Buddha relic tour is demonstrating that a direct experience of the spiritual state is not mysterious, nor is it for a select few. The spiritual state, here defined as a universal theme of unconditional love, is a component of human evolutionary unfoldment, a process through which thousands of human beings have passed, and through which thousands more will pass. We are "waking up" as a species. Consequently, more information is required about this transformation of human consciousness. The Buddha relics offer us a priceless means by which we can obtain a richer perspective about the nature of human consciousness, spiritual realities such as love, and ultimately understanding ourselves.

  13. Understanding multicellular function and disease with human tissue-specific networks

    Science.gov (United States)

    Greene, Casey S.; Krishnan, Arjun; Wong, Aaron K.; Ricciotti, Emanuela; Zelaya, Rene A.; Himmelstein, Daniel S.; Zhang, Ran; Hartmann, Boris M.; Zaslavsky, Elena; Sealfon, Stuart C.; Chasman, Daniel I.; FitzGerald, Garret A.; Dolinski, Kara; Grosser, Tilo; Troyanskaya, Olga G.

    2016-01-01

    Tissue and cell-type identity lie at the core of human physiology and disease. Understanding the genetic underpinnings of complex tissues and individual cell lineages is crucial for developing improved diagnostics and therapeutics. We present genome-wide functional interaction networks for 144 human tissues and cell types developed using a data-driven Bayesian methodology that integrates thousands of diverse experiments spanning tissue and disease states. Tissue-specific networks predict lineage-specific responses to perturbation, reveal genes’ changing functional roles across tissues, and illuminate disease-disease relationships. We introduce NetWAS, which combines genes with nominally significant GWAS p-values and tissue-specific networks to identify disease-gene associations more accurately than GWAS alone. Our webserver, GIANT, provides an interface to human tissue networks through multi-gene queries, network visualization, analysis tools including NetWAS, and downloadable networks. GIANT enables systematic exploration of the landscape of interacting genes that shape specialized cellular functions across more than one hundred human tissues and cell types. PMID:25915600

  14. When Violence Pays: A Cost-Benefit Analysis of Aggressive Behavior in Animals and Humans

    Directory of Open Access Journals (Sweden)

    Alexander V. Georgiev

    2013-07-01

    Full Text Available An optimization analysis of human behavior from a comparative perspective can improve our understanding of the adaptiveness of human nature. Intra-specific competition for resources provides the main selective pressure for the evolution of violent aggression toward conspecifics, and variation in the fitness benefits and costs of aggression can account for inter-specific and inter-individual differences in aggressiveness. When aggression reflects competition for resources, its benefits vary in relation to the characteristics of the resources (their intrinsic value, abundance, spatial distribution, and controllability while its costs vary in relation to the characteristics of organisms and how they fight (which, in turn, affects the extent to which aggression entails risk of physical injury or death, energetic depletion, exposure to predation, psychological and physiological stress, or damage to social relationships. Humans are a highly aggressive species in comparison to other animals, probably as a result of an unusually high benefit-to-cost ratio for intra-specific aggression. This conclusion is supported by frequent and widespread occurrence of male-male coalitionary killing and by male-female sexual coercion. Sex differences in violent aggression in humans and other species probably evolved by sexual selection and reflect different optimal competitive strategies for males and females.

  15. When violence pays: a cost-benefit analysis of aggressive behavior in animals and humans.

    Science.gov (United States)

    Georgiev, Alexander V; Klimczuk, Amanda C E; Traficonte, Daniel M; Maestripieri, Dario

    2013-07-18

    An optimization analysis of human behavior from a comparative perspective can improve our understanding of the adaptiveness of human nature. Intra-specific competition for resources provides the main selective pressure for the evolution of violent aggression toward conspecifics, and variation in the fitness benefits and costs of aggression can account for inter-specific and inter-individual differences in aggressiveness. When aggression reflects competition for resources, its benefits vary in relation to the characteristics of the resources (their intrinsic value, abundance, spatial distribution, and controllability) while its costs vary in relation to the characteristics of organisms and how they fight (which, in turn, affects the extent to which aggression entails risk of physical injury or death, energetic depletion, exposure to predation, psychological and physiological stress, or damage to social relationships). Humans are a highly aggressive species in comparison to other animals, probably as a result of an unusually high benefit-to-cost ratio for intra-specific aggression. This conclusion is supported by frequent and widespread occurrence of male-male coalitionary killing and by male-female sexual coercion. Sex differences in violent aggression in humans and other species probably evolved by sexual selection and reflect different optimal competitive strategies for males and females.

  16. Shared strategies for behavioral switching: understanding how locomotor patterns are turned on and off

    Directory of Open Access Journals (Sweden)

    Karen A Mesce

    2010-07-01

    Full Text Available Animals frequently switch from one behavior to another, often to meet the demands of their changing environment or internal state. What factors control these behavioral switches and the selection of what to do or what not to do? To address these issues, we will focus on the locomotor behaviors of two distantly related ‘worms’, the medicinal leech Hirudo verbana (clade Lophotrochozoa and the nematode Caenorhabditis elegans (clade Ecdysozoa. Although the neural architecture and body morphology of these organisms are quite distinct, they appear to switch between different forms of locomotion by using similar strategies of decision-making. For example, information that distinguishes between liquid and more solid environments dictates whether an animal swims or crawls. In the leech, dopamine biases locomotor neural networks so that crawling is turned on and swimming is turned off. In C. elegans, dopamine may also promote crawling, a form of locomotion that has gained new attention.

  17. Alcohol Use and Sexual Risk Behavior among College Students: Understanding Gender and Ethnic Differences

    Science.gov (United States)

    Randolph, Mary E.; Torres, Hector; Gore-Felton, Cheryl; Lloyd, Bronwyn; McGarvey, Elizabeth L.

    2015-01-01

    Objectives The purpose of the current study was to assess the role of gender and ethnicity in the relationship between alcohol use and risky sexual behavior. Method Sexually active college students (n = 425) reported on alcohol expectancies, perceived risk of HIV, and drinking and sexual behavior in the context of a larger health behavior survey. Results Approximately one-third of participants reported binge drinking 3 or more times in the past two weeks. African American women reported less drinking and less positive alcohol expectancies than other women. Older men engaged more often than younger men in binge drinking and reported more sexual partners in the past year. Younger age and greater perceived risk for HIV were positively associated with condom use for both women and men. Conclusion Collectively, these findings suggest that alcohol abuse and HIV prevention efforts among young adults need to consider gender, ethnicity, and age. PMID:19253158

  18. Understanding environment-influenced swarm behavior from a social force perspective

    Science.gov (United States)

    Jiang, J.; Lu, D.; Jiang, Y.; Lee, Z.; Zhang, Y.; Yu, J.

    2018-02-01

    The relevant research on swarm behavior has focused on the facts that when individuals agree with other members in the system globally consistent behaviors are generated and that individual decisions are completely dominated by other members. In fact, when individuals generate their own behavior strategies, they tend to consider not only the influences of other members but also autonomically consider their current environment. For example, in the social foraging of flocks, the behavior strategy of each individual animal is influenced by the food distribution, and individual movement patterns are characterized by a highly efficient search strategy-Lévy walks. To investigate this, this paper proposes using an environment-driven social force perspective to explore the Lévy walks of individuals in a group in patchy food environments. This model adopts the concept of social force to quantify the social effects and the interactions between individuals and food. The coordination between forces is a key in the formation of individual behavior strategies. Our simulation results show a power-law frequency distribution for agent flight lengths that conforms to Lévy walks and verifies the hypothesis of a relationship between food density and the Lévy index. In our model, the flock still exhibits collective consistency and cohesion and yields a high value for the order parameter and population density when moving between food patches. In addition, our model explains the intraspecific cooperation and competition that occurs during foraging as proposed in related work. The simulation also validates the impact of two inducements for individual behaviors compared with several benchmark models.

  19. Reprint of "Suboptimal choice by pigeons: an analog of human gambling behavior".

    Science.gov (United States)

    Zentall, Thomas R

    2014-05-01

    Human gambling often involves the choice of a low probability but high valued outcome over a high probability (certain) low valued outcome (not gambling) that is economically more optimal. We have developed an analog of gambling in which pigeons prefer a suboptimal alternative that infrequently provides a signal for a high probability (or high magnitude) of reinforcement over an optimal alternative that always provides a signal for a lower probability (or lower magnitude) of reinforcement. We have identified two mechanisms that may be responsible for this suboptimal behavior. First, the effect of nonreinforcement results in considerably less inhibition of choice than ideally it should. Second, the frequency of the occurrence of the signal for a high probability or high magnitude of reinforcement is less important than ideally it should. Also analogous to human gambling is the finding that pigeons that are normally food restricted choose suboptimally, whereas those that are minimally food restricted choose optimally. In addition, pigeons that are singly housed choose suboptimally, whereas those that are exposed to a more enriched environment choose less suboptimally. We believe that these findings have implications for the understanding and treatment of problem gambling behavior. Copyright © 2014 Elsevier B.V. All rights reserved.

  20. Perceiving Group Behavior: Sensitive Ensemble Coding Mechanisms for Biological Motion of Human Crowds

    Science.gov (United States)

    Sweeny, Timothy D.; Haroz, Steve; Whitney, David

    2013-01-01

    Many species, including humans, display group behavior. Thus, perceiving crowds may be important for social interaction and survival. Here, we provide the first evidence that humans use ensemble-coding mechanisms to perceive the behavior of a crowd of people with surprisingly high sensitivity. Observers estimated the headings of briefly presented…