Universität zu Köln

Roessler, Jannik, Sun, Jiachen and Gloor, Peter ORCID: 0000-0002-7271-3224 (2021). Reducing Videoconferencing Fatigue through Facial Emotion Recognition. Future Internet, 13 (5). BASEL: MDPI. ISSN 1999-5903

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Abstract

In the last 14 months, COVID-19 made face-to-face meetings impossible and this has led to rapid growth in videoconferencing. As highly social creatures, humans strive for direct interpersonal interaction, which means that in most of these video meetings the webcam is switched on and people are looking each other in the eyes. However, it is far from clear what the psychological consequences of this shift to virtual face-to-face communication are and if there are methods to alleviate videoconferencing fatigue. We have studied the influence of emotions of meeting participants on the perceived outcome of video meetings. Our experimental setting consisted of 35 participants collaborating in eight teams over Zoom in a one semester course on Collaborative Innovation Networks in bi-weekly video meetings, where each team presented its progress. Emotion was tracked through Zoom face video snapshots using facial emotion recognition that recognized six emotions (happy, sad, fear, anger, neutral, and surprise). Our dependent variable was a score given after each presentation by all participants except the presenter. We found that the happier the speaker is, the happier and less neutral the audience is. More importantly, we found that the presentations that triggered wide swings in fear and joy among the participants are correlated with a higher rating. Our findings provide valuable input for online video presenters on how to conduct better and less tiring meetings; this will lead to a decrease in videoconferencing fatigue.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Roessler, Jannik UNSPECIFIED UNSPECIFIED UNSPECIFIED Sun, Jiachen UNSPECIFIED UNSPECIFIED UNSPECIFIED Gloor, Peter UNSPECIFIED orcid.org/0000-0002-7271-3224 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-578227
DOI:	10.3390/fi13050126
Journal or Publication Title:	Future Internet
Volume:	13
Number:	5
Date:	2021
Publisher:	MDPI
Place of Publication:	BASEL
ISSN:	1999-5903
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language EXPRESSION RECOGNITION Multiple languages Computer Science, Information Systems Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/57822