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      Facial Appearance Dissatisfaction Explains Differences in Zoom Fatigue

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          Abstract

          <p class="first" id="d2876288e187">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). </p>

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          Most cited references52

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          The Proteus Effect: The Effect of Transformed Self-Representation on Behavior

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            Nonverbal Overload: A Theoretical Argument for the Causes of Zoom Fatigue

            For decades, scholars have predicted that videoconference technology will disrupt the practice of commuting daily to and from work and will change the way people socialize. In 2020, the Covid-19 pandemic forced a drastic increase in the number of videoconference meetings, and Zoom became the leading software package because it was free, robust, and easy to use. While the software has been an essential tool for productivity, learning, and social interaction, something about being on videoconference all day seems particularly exhausting, and the term “Zoom Fatigue” caught on quickly. In this article, I focus on nonverbal overload as a potential cause for fatigue and provide four arguments outlining how various aspects of the current Zoom interface likely lead to psychological consequences. The arguments are based on academic theory and research, but also have yet to be directly tested in the context of Zoom, and require future experimentation to confirm. Instead of indicting the medium, my goal is to point out these design flaws to isolate research areas for social scientists and to suggest design improvements for technologists.
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              Connecting Through Technology During the Coronavirus Disease 2019 Pandemic: Avoiding “Zoom Fatigue”

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                Author and article information

                Contributors
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                Journal
                Cyberpsychology, Behavior, and Social Networking
                Cyberpsychology, Behavior, and Social Networking
                Mary Ann Liebert Inc
                2152-2715
                2152-2723
                November 25 2021
                Affiliations
                [1 ]Department of Media & Information, Michigan State University, East Lansing, Michigan, USA.
                [2 ]Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, Florida, USA.
                [3 ]Department of Communication, Stanford University, Stanford, California, USA.
                Article
                10.1089/cyber.2021.0112
                6e35210c-3e98-4dbf-b9ac-e431a5f8f849
                © 2021

                https://www.liebertpub.com/nv/resources-tools/text-and-data-mining-policy/121/

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