Meeting needs: How social interaction anxiety, zoom fatigue, relatedness, and demographics predict virtual meeting feature preferences

Virtual Meetings (VMs) have become a prevalent form of workplace communication since the COVID-19 pandemic. Despite their many advantages, workers face challenges due to the technological limitations of contemporary platforms. This study investigated workers' preferences for VM features and their associations with social and psychological factors intertwined with workplace dynamics. Through a survey of workers who regularly use VM platforms ( N = 2,448), we categorized feature preferences into eight groups based on common underlying mechanisms. We then identified features related to social interaction anxiety (SIA), VM fatigue, and basic psychological need satisfaction, drawing on Self-Determination Theory and uses and gratification theory, and examined how these factors are associated with preferences for VM features by gender, race, and tenure. Notably, SIA, VM fatigue, and relatedness with colleagues emerged as key predictors of feature use and preferences. Features supporting impression management, accessibility, and video muting were linked to SIA and VM fatigue across the overall sample. Among all predictors, SIA was the strongest predictor of accessibility, collaborative, playful, and video management feature usage—especially for women, people of color, and less experienced workers. In terms of VM fatigue, impression management feature use was particularly salient for women and people of color experiencing high fatigue, while less experienced workers with high fatigue were more likely to use video management features. Perceived relatedness was positively related to the use of accessibility features and the preference for collaborative and playful features across the entire sample. This study contributes to our understanding of how to design VM features that support workers’ well-being, with a focus on those more vulnerable to ambiguous social situations in professional environments.

Authors

Institutions

Publication Details

Journal
Computers in Human Behavior Reports
Published
2025-04-09
DOI
https://doi.org/10.1016/j.chbr.2025.100673
Citations
1
Primary Topic
Team Dynamics and Performance
Type
article
Field-Weighted Citation Impact
2.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Meeting needs: How social interaction anxiety, zoom fatigue, relatedness, and demographics predict virtual meeting feature preferences

Maxwell Foxman, Rabindra Ratan, Alex Leith, Chaeyun Lim et al.
1 citations
Computers in Human Behavior Reports
Team Dynamics and Performance
2.44
article

Meeting needs: How social interaction anxiety, zoom fatigue, relatedness, and demographics predict virtual meeting feature preferences

Maxwell Foxman, Rabindra Ratan, Alex Leith, Chaeyun Lim, Dalton Bouzek
article en
1 citations

Abstract

Virtual Meetings (VMs) have become a prevalent form of workplace communication since the COVID-19 pandemic. Despite their many advantages, workers face challenges due to the technological limitations of contemporary platforms. This study investigated workers' preferences for VM features and their associations with social and psychological factors intertwined with workplace dynamics. Through a survey of workers who regularly use VM platforms ( N = 2,448), we categorized feature preferences into eight groups based on common underlying mechanisms. We then identified features related to social interaction anxiety (SIA), VM fatigue, and basic psychological need satisfaction, drawing on Self-Determination Theory and uses and gratification theory, and examined how these factors are associated with preferences for VM features by gender, race, and tenure. Notably, SIA, VM fatigue, and relatedness with colleagues emerged as key predictors of feature use and preferences. Features supporting impression management, accessibility, and video muting were linked to SIA and VM fatigue across the overall sample. Among all predictors, SIA was the strongest predictor of accessibility, collaborative, playful, and video management feature usage—especially for women, people of color, and less experienced workers. In terms of VM fatigue, impression management feature use was particularly salient for women and people of color experiencing high fatigue, while less experienced workers with high fatigue were more likely to use video management features. Perceived relatedness was positively related to the use of accessibility features and the preference for collaborative and playful features across the entire sample. This study contributes to our understanding of how to design VM features that support workers’ well-being, with a focus on those more vulnerable to ambiguous social situations in professional environments.

Computers in Human Behavior ReportsVol. 18
University of Oregon (US), Michigan State University (US), Southern Illinois University Edwardsville (US)
Reduced inequalities
Openalex Percentile: Top 14%
Team Dynamics and Performance
2.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.