A VR game-based system for multimodal emotion data collection

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Bassano, Chiara
Ballestin, Giorgio
Ceccaldi, Eleonora
Larradet, Fanny Isabelle
Mancini, Maurizio
Volta, Erica
Niewiadomski, Radoslaw
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Association for Computing Machinery (ACM)
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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.
VR interaction , Emotion elicitation , Appraisal theory , Multimodal
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
© 2019, the Authors. Publication rights licensed to ACM. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of MIG '19 Motion, Interaction and Games: https://dx.doi.org/10.1145/3359566.3364695