Burgoon Judee K, Wang Xinran, Chen Xunyu, Pentland Steven J, Dunbar Norah E
Center for the Management of Information, The University of Arizona, Tucson, AZ, United States.
Information Technology and Supply Chain Management, Boise State University, Boise, ID, United States.
Front Psychol. 2021 Jan 26;12:624177. doi: 10.3389/fpsyg.2021.624177. eCollection 2021.
Nonverbal signals color the meanings of interpersonal relationships. Humans rely on facial, head, postural, and vocal signals to express relational messages along continua. Three of relevance are dominance-submission, composure-nervousness and trust-distrust. Machine learning and new automated analysis tools are making possible a deeper understanding of the dynamics of relational communication. These are explored in the context of group interactions during a game entailing deception. The "messiness" of studying communication under naturalistic conditions creates many measurement and design obstacles that are discussed here. Possibilities for their mitigation are considered.
非语言信号为人际关系赋予色彩。人类依靠面部、头部、姿势和声音信号,在连续统一体上表达关系信息。其中三个相关维度是支配-服从、沉着-紧张和信任-不信任。机器学习和新的自动化分析工具使人们能够更深入地理解关系沟通的动态过程。这在一场涉及欺骗的游戏中的群体互动背景下进行了探讨。在自然主义条件下研究沟通的“杂乱性”带来了许多测量和设计障碍,本文对此进行了讨论,并考虑了缓解这些障碍的可能性。