Improving Collaborative Learning in Virtual Reality With Facial Expressions - Archive ouverte HAL
Conference Papers Year : 2022

Improving Collaborative Learning in Virtual Reality With Facial Expressions

Améliorer l'apprentissage collaboratif en réalité virtuelle avec les expressions faciales

Abstract

This article presents an approach to improve collaborative learning in terms of performance & satisfaction through the generation of non-verbal behavior of users displayed on their avatar in virtual reality. Various works have focused on the behavioral realism of avatars, which can considerably improve interactions. The purpose of this paper is to investigate the impact of displaying the facial expressions of a user in real time on the performance of the task, the satisfaction and the behavioral changes of the users interacting in a virtual environment. To evaluate this approach, we carried out a study where the users collaborated to build a TV stand in dyad including a novice (the participant) and an expert assistant (the experimenter).
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Dates and versions

hal-03880377 , version 1 (01-12-2022)

Identifiers

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Hugo Le Tarnec, Olivier Augereau, Elisabetta Bevacqua, Pierre de Loor. Improving Collaborative Learning in Virtual Reality With Facial Expressions. ACM international joint conference on pervasive and ubiquitous computing (UbiComp), Sep 2022, Atlanta, United States. ⟨10.1145/3544793.3560387⟩. ⟨hal-03880377⟩
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