Citation:Bassano, C., Ballestin, G., Ceccaldi, E., Larradet, F. I., Mancini, M., Volta, E. and Niewiadomski, R. (2019) 'A VR game-based system for multimodal emotion data collection', MIG '19 Motion, Interaction and Games, Newcastle upon Tyne, United Kingdom, 28-30 October. doi: 10.1145/3359566.3364695
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.
This website uses cookies. By using this website, you consent to the use of cookies in accordance with the UCC Privacy and Cookies Statement. For more information about cookies and how you can disable them, visit our Privacy and Cookies statement