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Facial Appearance Dissatisfaction Explains Differences in Zoom Fatigue
Cyberpsychology, Behavior, and Social Networking ( IF 6.135 ) Pub Date : 2022-02-10 , DOI: 10.1089/cyber.2021.0112
Rabindra Ratan 1 , Dave B Miller 2 , Jeremy N Bailenson 3
Affiliation  

Viewing self-video during videoconferences potentially causes negative self-focused attention that contributes to virtual meeting (VM) or “Zoom” fatigue. The present research examines this proposition, focusing on facial dissatisfaction—feeling unhappy about one's own facial appearance—as a potential psychological mechanism of VM fatigue. A study of survey responses from a panel of 613 adults found that VM fatigue was 14.9 percent higher for women than for men, and 11.1 percent higher for Asian than for White participants. These gender and race/ethnicity differences were found to be mediated by facial dissatisfaction. This study replicates earlier VM fatigue research, extends the theoretical understanding of facial dissatisfaction as a psychological mechanism of VM fatigue, and suggests that practical approaches to mitigating VM fatigue could include implementing technological features that reduce self-focused attention during VMs (e.g., employing avatars).

中文翻译:

面部外观不满意解释了变焦疲劳的差异

在视频会议期间观看自我视频可能会导致负面的自我关注,从而导致虚拟会议 (VM) 或“缩放”疲劳。本研究检验了这一命题,重点关注面部不满意——对自己的面部外观感到不满意——作为 VM 疲劳的潜在心理机制。一项由 613 名成年人组成的小组对调查答复的研究发现,女性的 VM 疲劳比男性高 14.9%,亚洲人比白人参与者高 11.1%。这些性别和种族/民族差异被发现是由面部不满意介导的。本研究复制了早期的 VM 疲劳研究,扩展了对面部不满意作为 VM 疲劳心理机制的理论理解,
更新日期:2022-02-11
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