11,601 research outputs found
Exploring the movement dynamics of deception
Both the science and the everyday practice of detecting a lie rest on the same assumption: hidden cognitive states that the liar would like to remain hidden nevertheless influence observable behavior. This assumption has good evidence. The insights of professional interrogators, anecdotal evidence, and body language textbooks have all built up a sizeable catalog of non-verbal cues that have been claimed to distinguish deceptive and truthful behavior. Typically, these cues are discrete, individual behaviors—a hand touching a mouth, the rise of a brow—that distinguish lies from truths solely in terms of their frequency or duration. Research to date has failed to establish any of these non-verbal cues as a reliable marker of deception. Here we argue that perhaps this is because simple tallies of behavior can miss out on the rich but subtle organization of behavior as it unfolds over time. Research in cognitive science from a dynamical systems perspective has shown that behavior is structured across multiple timescales, with more or less regularity and structure. Using tools that are sensitive to these dynamics, we analyzed body motion data from an experiment that put participants in a realistic situation of choosing, or not, to lie to an experimenter. Our analyses indicate that when being deceptive, continuous fluctuations of movement in the upper face, and somewhat in the arms, are characterized by dynamical properties of less stability, but greater complexity. For the upper face, these distinctions are present despite no apparent differences in the overall amount of movement between deception and truth. We suggest that these unique dynamical signatures of motion are indicative of both the cognitive demands inherent to deception and the need to respond adaptively in a social context
First impressions: A survey on vision-based apparent personality trait analysis
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Personality analysis has been widely studied in psychology, neuropsychology, and signal processing fields, among others. From the past few years, it also became an attractive research area in visual computing. From the computational point of view, by far speech and text have been the most considered cues of information for analyzing personality. However, recently there has been an increasing interest from the computer vision community in analyzing personality from visual data. Recent computer vision approaches are able to accurately analyze human faces, body postures and behaviors, and use these information to infer apparent personality traits. Because of the overwhelming research interest in this topic, and of the potential impact that this sort of methods could have in society, we present in this paper an up-to-date review of existing vision-based approaches for apparent personality trait recognition. We describe seminal and cutting edge works on the subject, discussing and comparing their distinctive features and limitations. Future venues of research in the field are identified and discussed. Furthermore, aspects on the subjectivity in data labeling/evaluation, as well as current datasets and challenges organized to push the research on the field are reviewed.Peer ReviewedPostprint (author's final draft
Being tough doesn’t always pay off: The culture of honor vs dignity in negotiation
Early work on cross-cultural negotiation has focused on East-West differences. In the current study we investigate the negotiation scripts employed by Middle Eastern negotiators, more specifically Iranian negotiators, in an intracultural interaction, compared to North American negotiators. We examine how the Iranian worldviews, beliefs, norms, and social behavior influence their goals and aspirations, negotiation tactics, and ultimately final outcome. We formulated our hypotheses based on the theory of honor-dignity cultures and illustrate how the importance of preserving and maintaining honor influences the Iranian negotiation strategies in business dealings. Our results illustrate that consistent with the culture of honor, Iranian negotiators are more likely to be competitive, express emotions, and employ distributive tactics compared to Canadian negotiators. Moreover, this competitive mindset leaves Iranian negotiators at a disadvantage as the overall joint gain is significantly lower than Canadian negotiators
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Implicit Bias Predicts Liking of Ingroup Members Who Are Comfortable With Intergroup Interaction.
We test a novel framework for how ingroup members are perceived during intergroup interaction. Across three experiments, we found that, above and beyond egalitarian attitudes and motivations, White observers' automatic responses to Blacks (i.e., their implicit anti-Black bias) shaped their affiliation toward ingroup targets who appeared comfortable engaging in interracial versus same-race interaction. White observers' implicit anti-Black bias negatively correlated with liking of White targets who were comfortable with Blacks (Experiments 1-3). The relationship between implicit bias and liking varied as a function of targets' nonverbal comfort in interracial interactions (Experiment 1). Specifically, implicit bias negatively correlated with liking of targets when targets' nonverbal behaviors revealed observers felt comfortable with interracial contact, irrespective of the nature of those behaviors (Experiment 2). Finally, the relationship between implicit bias and target liking was mediated by perceived similarity (Experiment 3). Theoretical implications for stigma-by-association, social network homogeneity, and extended contact are discussed
Facial expression of pain: an evolutionary account.
This paper proposes that human expression of pain in the presence or absence of caregivers, and the detection of pain by observers, arises from evolved propensities. The function of pain is to demand attention and prioritise escape, recovery, and healing; where others can help achieve these goals, effective communication of pain is required. Evidence is reviewed of a distinct and specific facial expression of pain from infancy to old age, consistent across stimuli, and recognizable as pain by observers. Voluntary control over amplitude is incomplete, and observers can better detect pain that the individual attempts to suppress rather than amplify or simulate. In many clinical and experimental settings, the facial expression of pain is incorporated with verbal and nonverbal vocal activity, posture, and movement in an overall category of pain behaviour. This is assumed by clinicians to be under operant control of social contingencies such as sympathy, caregiving, and practical help; thus, strong facial expression is presumed to constitute and attempt to manipulate these contingencies by amplification of the normal expression. Operant formulations support skepticism about the presence or extent of pain, judgments of malingering, and sometimes the withholding of caregiving and help. To the extent that pain expression is influenced by environmental contingencies, however, "amplification" could equally plausibly constitute the release of suppression according to evolved contingent propensities that guide behaviour. Pain has been largely neglected in the evolutionary literature and the literature on expression of emotion, but an evolutionary account can generate improved assessment of pain and reactions to it
Speech-driven Animation with Meaningful Behaviors
Conversational agents (CAs) play an important role in human computer
interaction. Creating believable movements for CAs is challenging, since the
movements have to be meaningful and natural, reflecting the coupling between
gestures and speech. Studies in the past have mainly relied on rule-based or
data-driven approaches. Rule-based methods focus on creating meaningful
behaviors conveying the underlying message, but the gestures cannot be easily
synchronized with speech. Data-driven approaches, especially speech-driven
models, can capture the relationship between speech and gestures. However, they
create behaviors disregarding the meaning of the message. This study proposes
to bridge the gap between these two approaches overcoming their limitations.
The approach builds a dynamic Bayesian network (DBN), where a discrete variable
is added to constrain the behaviors on the underlying constraint. The study
implements and evaluates the approach with two constraints: discourse functions
and prototypical behaviors. By constraining on the discourse functions (e.g.,
questions), the model learns the characteristic behaviors associated with a
given discourse class learning the rules from the data. By constraining on
prototypical behaviors (e.g., head nods), the approach can be embedded in a
rule-based system as a behavior realizer creating trajectories that are timely
synchronized with speech. The study proposes a DBN structure and a training
approach that (1) models the cause-effect relationship between the constraint
and the gestures, (2) initializes the state configuration models increasing the
range of the generated behaviors, and (3) captures the differences in the
behaviors across constraints by enforcing sparse transitions between shared and
exclusive states per constraint. Objective and subjective evaluations
demonstrate the benefits of the proposed approach over an unconstrained model.Comment: 13 pages, 12 figures, 5 table
Does Talking the Talk Help Walking the Walk? An Examination of the Effect of Vocal Attractiveness in Leader Effectiveness
The authors tested the hypothesis that leaders\u27 vocal attractiveness is positively related to perceptions of leadership effectiveness. In a first study using vocal spectral analysis on a sample of U.S. presidents and Canadian prime ministers, vocal attractiveness accounted for significant variance in historians\u27 perceptions of leadership effectiveness (β = .35, p \u3c .05), explaining an additional 12% of the variance above that explained by personality, motives, and charisma. A second study of 255 subjects distributed into 85 teams in a laboratory setting found similar results for the relationship between vocal attractiveness and perceptions of leadership effectiveness. The second study also supported the hypothesis that personal reactions mediate the relationship between vocal attractiveness and perceptions of leadership effectiveness. In contrast, vocal attractiveness and personal reactions were found to have no significant effects on leadership effectiveness outcomes
Artificial Intelligence: Robots, Avatars, and the Demise of the Human Mediator
Published in cooperation with the American Bar Association Section of Dispute Resolutio
An examination of social presence in an online learning environment.
The distance education literature is lacking studies investigating the construct of social presence, the value placed on it by online learners, and whether its existence in text-based environments is necessary for learning, satisfaction, and contributing to course retention. The purpose of this study was to explore learner perceptions and experiences of the learning process within the Web-based online learning medium in terms of social presence. More specifically, it examines the relationship among learners\u27 perceptions of social presence in asynchronous online courses and how it relates to satisfaction with learning, whether course activities perceived as having high levels of social presence also have high levels of satisfaction and quality of learning, and whether perceptions of social presence and satisfaction with learning affects their likelihood of enrolling in future online courses. The research design of this study utilized an online survey administered to 280 students enrolled in online courses of nine disciplines; both undergraduate- and graduate- level at a large urban university. Open-ended questions from the online survey were examined as well to help inform and support the findings from the quantitative data. Data were analyzed using correlations, ANOVAs, and hierarchical regression analysis. The findings demonstrated that students\u27 perceived social presence was statistically, significantly, and positively related to their overall perceived satisfaction with learning in online courses. Furthermore, students\u27 perceived social presence was statistically, significantly, and positively related to their perception of quality of and satisfaction with learning for each of the five course activities examined in this study. The hierarchical regression analysis suggested that perceived social presence contributed substantially more incremental variance to the decision to enroll again in an online course than the satisfaction with learning variable. Overall, the theoretical model including social presence and satisfaction with learning explained 18 percent of the variance in the dependent variable. The potential implications for theory and practice for online course designers and instructors are provided
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