Zoom fatigue in review: A meta-analytical examination of videoconferencing fatigue's antecedents
As videoconferencing increasingly integrates with modern life, becoming a regular part of work, education, and socialization, the adverse outcomes of increased usage have become a concern to researchers. Multiple scholars have examined Videoconference Fatigue (VF) to identify the causes of this new...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Computers in Human Behavior Reports |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2451958824002045 |
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| author | David Beyea Chaeyun Lim Alex Lover Maxwell Foxman Rabindra Ratan Alex Leith |
| author_facet | David Beyea Chaeyun Lim Alex Lover Maxwell Foxman Rabindra Ratan Alex Leith |
| author_sort | David Beyea |
| collection | DOAJ |
| description | As videoconferencing increasingly integrates with modern life, becoming a regular part of work, education, and socialization, the adverse outcomes of increased usage have become a concern to researchers. Multiple scholars have examined Videoconference Fatigue (VF) to identify the causes of this new phenomenon. However, research has revealed conflicting findings regarding the causes of VF, highlighting the need for a meta-analysis. The present study uses quantitative meta-analysis techniques to examine 56 VF antecedents across 38 quantitative studies to examine the extent antecedent variables may affect VF. We collected quantitative studies on VF from Google Scholar, Web of Science, and PsychINFO. The present study organizes and examines the antecedents using two conceptualizations of VF (Bailenson, 2021; Li & Yee, 2022) and the Zoom Exhaustion and Fatigue (ZEF) scale (Fauv ille et al., 2021). We observed the largest effects on VF within the psychological factors category (r = 0.24, k = 28), with “feeling trapped” (r = 0.33, k = 5) being the largest predictor among uncategorized variables. The results for this study provide a map forward for research concerning negative facets of videoconferencing. |
| format | Article |
| id | doaj-art-154b7fe2bd8049bf8b63c3a71743a1e7 |
| institution | OA Journals |
| issn | 2451-9588 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Computers in Human Behavior Reports |
| spelling | doaj-art-154b7fe2bd8049bf8b63c3a71743a1e72025-08-20T02:04:18ZengElsevierComputers in Human Behavior Reports2451-95882025-03-011710057110.1016/j.chbr.2024.100571Zoom fatigue in review: A meta-analytical examination of videoconferencing fatigue's antecedentsDavid Beyea0Chaeyun Lim1Alex Lover2Maxwell Foxman3Rabindra Ratan4Alex Leith5Department of Communication, University of Wisconsin, Whitewater, United States; Corresponding author. University of Wisconsin, Whitewater, 800 West Main St., Whitewater, WI, 53190, United States.Department of Media and Information, Michigan State University, United StatesDepartment of Communication, Michigan State University, United StatesSchool of Journalism and Communication, University of Oregon, United StatesDepartment of Media and Information, Michigan State University, United StatesMass Communications, Southern Illinois University Edwardsville, United StatesAs videoconferencing increasingly integrates with modern life, becoming a regular part of work, education, and socialization, the adverse outcomes of increased usage have become a concern to researchers. Multiple scholars have examined Videoconference Fatigue (VF) to identify the causes of this new phenomenon. However, research has revealed conflicting findings regarding the causes of VF, highlighting the need for a meta-analysis. The present study uses quantitative meta-analysis techniques to examine 56 VF antecedents across 38 quantitative studies to examine the extent antecedent variables may affect VF. We collected quantitative studies on VF from Google Scholar, Web of Science, and PsychINFO. The present study organizes and examines the antecedents using two conceptualizations of VF (Bailenson, 2021; Li & Yee, 2022) and the Zoom Exhaustion and Fatigue (ZEF) scale (Fauv ille et al., 2021). We observed the largest effects on VF within the psychological factors category (r = 0.24, k = 28), with “feeling trapped” (r = 0.33, k = 5) being the largest predictor among uncategorized variables. The results for this study provide a map forward for research concerning negative facets of videoconferencing.http://www.sciencedirect.com/science/article/pii/S2451958824002045Zoom fatigueVideoconference fatigueMeta-analysisZoom exhaustion and fatigue scale |
| spellingShingle | David Beyea Chaeyun Lim Alex Lover Maxwell Foxman Rabindra Ratan Alex Leith Zoom fatigue in review: A meta-analytical examination of videoconferencing fatigue's antecedents Computers in Human Behavior Reports Zoom fatigue Videoconference fatigue Meta-analysis Zoom exhaustion and fatigue scale |
| title | Zoom fatigue in review: A meta-analytical examination of videoconferencing fatigue's antecedents |
| title_full | Zoom fatigue in review: A meta-analytical examination of videoconferencing fatigue's antecedents |
| title_fullStr | Zoom fatigue in review: A meta-analytical examination of videoconferencing fatigue's antecedents |
| title_full_unstemmed | Zoom fatigue in review: A meta-analytical examination of videoconferencing fatigue's antecedents |
| title_short | Zoom fatigue in review: A meta-analytical examination of videoconferencing fatigue's antecedents |
| title_sort | zoom fatigue in review a meta analytical examination of videoconferencing fatigue s antecedents |
| topic | Zoom fatigue Videoconference fatigue Meta-analysis Zoom exhaustion and fatigue scale |
| url | http://www.sciencedirect.com/science/article/pii/S2451958824002045 |
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