Ma Yundi, Ren Jingjing, Qiu Yan, Zhu Jiahong
Department of General Practice, The First Affiliated Hospital, Zhejiang University School of Medicine, #79 Qingchun Road, Hangzhou, 310003, Zhejiang, China.
Sci Rep. 2025 May 30;15(1):19043. doi: 10.1038/s41598-025-04157-3.
This study investigated videoconferencing fatigue and its influencing factors among Chinese people to inform interventions for reducing fatigue and enhancing well-being during COVID-19 and post-pandemic times. Data were collected via an online questionnaire from February 7 to 13, 2023, using convenience sampling. The questionnaire covered general profiles, health status, videoconferencing usage and intensity, and five nonverbal mechanisms, along with the Zoom Exhaustion and Fatigue scale, which assessed the main indicators. Univariate and step-wise multiple linear regression analyses were used to identify influencing factors. Of the 293 participants, 291 completed the survey (99.32%). The mean Zoom Exhaustion and Fatigue score was 2.18 out of 5. Factors significantly associated with increased fatigue included greater technological complexity, worse health status, more negative attitudes, higher levels of mirror anxiety and sense of feeling physically trapped, and higher cognitive load associated with producing nonverbal cues. Given the widespread use of videoconferencing tools, it is essential to understand the variables that influence videoconferencing fatigue thoroughly and to take the necessary steps to reduce it. According to the results of the study, recommendations to reduce fatigue include familiarizing with software, occasionally turning off cameras and microphones, changing posture, maintaining positive attitudes, reducing unnecessary meetings, and increasing break duration and frequency.
本研究调查了中国人的视频会议疲劳及其影响因素，以便为在新冠疫情期间及疫情后减少疲劳和增进幸福感提供干预措施。数据于2023年2月7日至13日通过在线问卷收集，采用便利抽样法。问卷涵盖一般情况、健康状况、视频会议使用情况和强度、五种非语言机制，以及评估主要指标的Zoom疲劳量表。采用单因素和逐步多元线性回归分析来确定影响因素。293名参与者中，291人完成了调查（99.32%）。Zoom疲劳量表的平均得分在5分制中为2.18分。与疲劳增加显著相关的因素包括技术复杂性更高、健康状况更差、态度更消极、镜前焦虑和身体被困感更强，以及产生非语言线索时的认知负荷更高。鉴于视频会议工具的广泛使用，全面了解影响视频会议疲劳的变量并采取必要措施加以减少至关重要。根据研究结果，减少疲劳的建议包括熟悉软件、偶尔关闭摄像头和麦克风、改变姿势、保持积极态度、减少不必要的会议，以及增加休息时长和频率。
