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Fatigue and Stress Levels in Digital Collaboration: A Pilot Study with Video Conferencing and the Metaverse

In: Information Systems and Neuroscience

Author

Listed:
  • Fabian J. Stangl

    (School of Business and Management, University of Applied Sciences Upper Austria)

  • René Riedl

    (School of Business and Management, University of Applied Sciences Upper Austria
    Johannes Kepler University Linz)

  • Wolfgang J. Weitzl

    (School of Business and Management, University of Applied Sciences Upper Austria)

  • Sebastian Martin

    (University of Applied Sciences Upper Austria)

Abstract

This pilot study investigated the effects of digital collaboration technologies on heart rate variability (HRV), fatigue, and perceived stress. Experimental data were collected from university students who performed a digital collaboration task in either the metaverse or MS Teams. Heart rate (HR) was measured at baseline and throughout the task using an electrocardiogram-based measurement device (Polar H7 chest strap). HRV data (time domain metrics) and self-reported data were compared during and after the task and between groups. The results show that digital collaboration technologies cause a decrease in parasympathetic activity (RMSSD) with higher self-reported stress levels of individuals collaborating in metaverse compared to those working with the videoconferencing tool MS Teams. These results suggest that digital collaboration technologies are related to variations in parasympathetic nervous system activity and perceived stress, suggesting that monitoring autonomic nervous system activity during digital collaboration needs to be considered to counteract symptoms of fatigue or digital stress.

Suggested Citation

  • Fabian J. Stangl & René Riedl & Wolfgang J. Weitzl & Sebastian Martin, 2024. "Fatigue and Stress Levels in Digital Collaboration: A Pilot Study with Video Conferencing and the Metaverse," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph & Gernot (ed.), Information Systems and Neuroscience, pages 89-103, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-58396-4_9
    DOI: 10.1007/978-3-031-58396-4_9
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