Improving Collaborative Learning in Virtual Reality With Facial Expressions

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

Hugo Le Tarnec (1) , Olivier Augereau (1) , Elisabetta Bevacqua (1) , Pierre de Loor (1)

1 Lab-STICC_COMMEDIA - Equipe COgnition, Models and Machines for Engaging Digital Interactive Applications

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).

Keywords: Virtual Reality; Collaboration; Non verbal communication; Facial expressions

Domains: Computer Science [cs]

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⟩