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.
A VR game-based system for multimodal emotion data collection / Bassano, C.; Ballestin, G.; Ceccaldi, E.; Larradet, F. I.; Mancini, M.; Volta, E.; Niewiadomsky, R.. - (2019), pp. 1-3. (Intervento presentato al convegno 2019 ACM Conference on Motion, Interaction, and Games, MIG 2019 tenutosi a UK) [10.1145/3359566.3364695].
A VR game-based system for multimodal emotion data collection
Mancini M.;
2019
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
