Psychology Department, Colby College, Waterville, ME, USA.
Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA; Center for the Ecological Study of Perception and Action, University of Connecticut, Storrs, CT, USA.
Acta Psychol (Amst). 2021 Nov;221:103453. doi: 10.1016/j.actpsy.2021.103453. Epub 2021 Nov 29.
Interpersonal coordination of body movement-or the similarity in patterning and timing of body movement between interaction partners over time-is a well-documented phenomenon in face-to-face (FTF) conversation. The present study will investigate the degree to which interpersonal coordination is impacted by the amount of visual information available and the type of interaction conversation partners are having. To do so within a naturalistic context, we take advantage of changes induced by the 2020 COVID-19 pandemic. The pandemic has changed communication, with mitigation efforts having forced nearly everyone to engage over videoconferencing (VC) platforms (which limit body visibility but not face visibility) or to meet FTF with public health constraints (which limit face visibility but not body visibility). We will ask 69 pairs of participants to communicate in one of three ways: (1) socially distanced FTF while wearing masks; (2) VC in a laboratory where each partner will see one another's full torso; or (3) VC in a remote setting where each partner will see only one another's face and shoulders. Each pair will hold three conversations: (a) affiliative, (b) argumentative, and (c) task-based. We will quantify interpersonal coordination by extracting overall amounts of movement from videos of the participants using well-validated computer vision methods and then calculating the relationship between the two participants' movement using nonlinear time series analyses. In doing so, we will be able to identify the degree to which visual information and conversational context shape the emergence of interpersonal coordination within now-naturalistic modes of interaction.
身体运动的人际协调——即在面对面(FTF)对话中,随着时间的推移,互动伙伴之间的身体运动模式和时间的相似性——是一个有充分文献记录的现象。本研究将调查人际协调受可用视觉信息量和互动伙伴正在进行的对话类型影响的程度。为了在自然环境中进行研究,我们利用 2020 年 COVID-19 大流行引起的变化。大流行改变了沟通方式,缓解措施迫使几乎每个人都通过视频会议(VC)平台进行交流(这限制了身体可见性但不限制面部可见性),或者在公共卫生限制下进行 FTF 会议(这限制了面部可见性但不限制身体可见性)。我们将要求 69 对参与者以三种方式之一进行交流:(1)在戴口罩的情况下保持社交距离的 FTF;(2)在实验室中的 VC,每个伙伴都能看到彼此的整个躯干;或(3)在远程环境中的 VC,每个伙伴只能看到彼此的脸和肩膀。每对参与者将进行三次对话:(a)亲和性,(b)争议性,和(c)基于任务的对话。我们将通过使用经过充分验证的计算机视觉方法从参与者的视频中提取总体运动量来量化人际协调,并使用非线性时间序列分析计算两个参与者运动之间的关系。通过这样做,我们将能够确定视觉信息和对话背景在多大程度上塑造了人际协调在现在自然互动模式中的出现。