Han Ming, Wang Xue-Min, Kuai Shu-Guang
Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, Key Laboratory of Brain Functional Genomics (Ministry of Education), Institute of Brain and Education Innovation, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.
NYU-ECNU Institute of Brain and Cognitive Science, New York University Shanghai, Shanghai, China.
Psych J. 2023 Feb;12(1):34-43. doi: 10.1002/pchj.595. Epub 2022 Sep 21.
Interpersonal distance plays an important role in human social interaction. With the increasing usage of virtual reality in social interaction, people's interpersonal distance in virtual space attracts great attention. It remains unclear whether and to what extent human-required interpersonal distance is altered by crowded virtual scenes. In this study, we manipulated crowd density in virtual environments and used the classical stop-distance paradigm to measure required interpersonal distances at different crowd densities. We found that people's required interpersonal distance decreased with increased social crowdedness but not with physical crowdedness. Moreover, the decrease of two types of interpersonal distance was associated with the globally averaged crowd density rather than local crowd density. The reduction is not due to the imitation of other virtual humans in the crowd. Moreover, we developed a model to describe the quantitative relationships between the crowdedness of the environment and the required interpersonal distance. Our finding provides insights into designing user-friendly virtual humans in metaverse virtual worlds.
人际距离在人类社交互动中起着重要作用。随着虚拟现实在社交互动中的使用日益增加,人们在虚拟空间中的人际距离备受关注。目前尚不清楚拥挤的虚拟场景是否以及在多大程度上改变了人类所需的人际距离。在本研究中,我们在虚拟环境中操纵人群密度,并使用经典的停止距离范式来测量不同人群密度下所需的人际距离。我们发现,人们所需的人际距离随着社交拥挤程度的增加而减小,但与物理拥挤程度无关。此外,两种人际距离的减小与全局平均人群密度相关,而非局部人群密度。这种减小并非由于模仿人群中的其他虚拟人。此外,我们开发了一个模型来描述环境拥挤程度与所需人际距离之间的定量关系。我们的研究结果为在元宇宙虚拟世界中设计用户友好型虚拟人提供了见解。