From frequency to fatigue: Exploring the influence of videoconference use on videoconference fatigue in Singapore

Benjamin J. Li, Edmund W.J. Lee, Zhang Hao Goh, Edson Tandoc

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The use of videoconferencing platforms has increased drastically as a result of the COVID-19 pandemic. As a result of work-from-home orders, many employees found themselves attending meetings through virtual communication technologies instead of usual face-to-face discussions. As employees spend more time on videoconferencing, there have been increasing concerns of users affected by an occurrence we define as videoconference fatigue (VF). In this study, we explore the link between frequency of videoconferencing and VF. We further explore videoconference users' satisfaction with their internet connection as a moderator of this relationship. We study these in the context of the Technology Acceptance Model (TAM), which provides a framework for us to understand the factors leading to VF. A survey was conducted in Singapore with 1145 respondents who use videoconference apps. Results from structural equation modeling supported a model where perceived ease of use of videoconference apps led to perceived usefulness of these apps, which led to an increased frequency of use. There was a significant relationship between frequency of use and feelings of videoconference fatigue, with this relationship moderated by users’ perceived satisfaction with their internet connection. When usage frequency is low, having a reliable internet connection helps mitigate the impact of use on VF. However, high levels of usage can override the mitigating impact of internet satisfaction. We discuss the implications of these findings, which lend understanding into potential factors that can result in VF.

Original languageEnglish
Article number100214
JournalComputers in Human Behavior Reports
Volume7
DOIs
StatePublished - Aug 2022

Keywords

  • Internet satisfaction
  • Technology acceptance model
  • Videoconference fatigue
  • Videoconference use
  • Wellbeing

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