Chiara Bassano, Giorgio Ballestin, Eleonora Ceccaldi, Fanny Isabelle Larradet, Maurizio Mancini, Erica Volta, Radoslaw Niewiadomski
Refereed Conference Meeting Proceeding
The rising popularity of learning techniques in data analysis has recently led to an increased need of large-scale datasets. In this study, we propose a system consisting of a VR game and a software platform designed to collect the player’s multimodal data, synchronized with the VR content, with the aim of creating a dataset for emotion detection and recognition. The game was implemented ad-hoc in order to elicit joy and frustration, following the emotion elicitation process described by Roseman’s appraisal theory. In this preliminary study, 5 participants played our VR game along with pre-existing ones and self-reported experienced emotions.
Motion, Interaction and Games (MIG’19)
Digital Object Identifer (DOI):
National University of Ireland, Cork (UCC)
Open access repository: