Deceit and Interactional Synchrony In Different Social Constellations

人类是一个社会物种，但任何两个人之间的联系的性质是不同的。通常情况下，两个朋友的关系比两个陌生人的关系更牢固。这种互动的性质也会根据所传达的信息而有所不同，比如在什么时候说真话或谎话。一种捕捉人与人之间基本社交动态的指标被称为互动同步性，它反映了两个或更多个人的行为在短时间内相互关联的程度。过去的研究表明，互动的同步性会加强一段关系。然而，一种能够捕捉行为多个方面的内聚性同步衡量标准还有待测试。这个项目探索了欺骗在三个不同的社交星座中互动同步中的作用：与陌生人建立融洽关系的个人，朋友个人，以及属于同一社会组织的个人。面试者和被采访者之间社会关系的不同层次之间的同步性，将在被采访者撒谎并说出关于某一行为的真相时被捕捉到。这项研究使用计算机视觉和机器学习技术来分析和揭示面孔、声调、身体、姿势以及采访者和被采访者看不见的生理反应的同步性。这一结果将告诉我们，在研究欺骗行为时，以及在评估真实世界互动中的举止时，有必要考虑社会联系，例如采访犯罪嫌疑人或潜在的恐怖分子。该项目探索了欺骗在三个不同社交群体中互动同步中的作用：与陌生人建立融洽关系的个人，朋友个人，以及属于同一社会组织的个人。互动同步性预计会更高，涉及高度融洽、更亲密的友谊和共享的群体成员资格。欺骗场景既包括批准的谎言，也包括未经批准的谎言。将评估由于在参与者中撒谎与说真话的结果，以及作为与融洽、友谊和共享的小组成员的真相/谎言互动的函数的互动同步性的变化。使用计算机视觉和机器学习算法对同步性进行分析，应用于不同的渠道，从更可控的行为，如姿势，到那些较不可控的行为，如皮肤电反应，将使全球互动同步性测量成为可能，并有助于理解作为一个概念的互动同步性，将有意模仿与更自动和无意识的同步分开。这种相互作用同步性测量技术的改进将在发现欺骗行为方面具有特殊价值，从而有助于国家的安全优先事项。

Humans are a social species, but the nature of the connection between any two persons varies. Typically, two friends have a stronger relationship than do two strangers. The nature of the interaction also varies depending on the messages conveyed, such as when a truth versus a lie is told. A measure that captures the fundamental social dynamics between people is called interactional synchrony, and it reflects the extent to which the behavior of two or more individuals correlates within a short time window. Past research shows that interactional synchrony strengthens a relationship. However, a cohesive synchrony measure that captures multiple facets of behavior has yet to be tested. This project explores the role of deception in interactional synchrony in three different social constellations: individuals who have built rapport with a stranger, individuals who are friends, and individuals who belong to the same social organization. The synchrony between an interviewer and an interviewee, of varying levels of social relationship, will be captured when the interviewee lies and tells the truth about an action. The research uses computer vision and machine learning techniques to analyze and uncover synchrony in the faces, vocal tones, bodies, postures, and sub-visible physiological responses of interviewers and interviewees. The results will inform the need to consider social ties in research on deceptive behavior and when assessing demeanor during real world interactions, such as interviews with criminal suspects or potential terrorists.This project explores the role of deception in interactional synchrony in three different social constellations: individuals who have built rapport with a stranger, individuals who are friends, and individuals who belong to the same social organization. Interactional synchrony is expected to be higher for interactions that involve high rapport, closer friendship, and shared group membership. The deception scenarios involve both sanctioned and unsanctioned lying. The variation in interactional synchrony as a result of lying compared to truth telling within participants and as a function of truth/lie interactions with rapport, friendship, and shared group membership will be evaluated. The analysis of synchrony using computer vision and machine learning algorithms applied to different channels, ranging from more controllable behaviors, such as posture, to those less controllable, such as electrodermal responses, will enable a global interactional synchrony measure and also aid in the understanding of interactional synchrony as a concept, separating intentional mimicry from synchrony that is more automatic and unconscious. This refinement in the measurement technology of interactional synchrony will be of special value in detecting deceit, thereby contributing to the nation's security priorities.