A VR Game-based System for Multimodal Emotion Data Collection

Authors:

Chiara Bassano, Giorgio Ballestin, Eleonora Ceccaldi, Fanny Isabelle Larradet, Maurizio Mancini, Erica Volta, Radoslaw Niewiadomski

Publication Type:

Refereed Conference Meeting Proceeding

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.

Conference Name:

Motion, Interaction and Games (MIG’19)

Digital Object Identifer (DOI):

10.1145/3359566.3364695

Publication Date:

28/10/2019

Pages:

1-3

Research Group:

Personal Sensing

Institution:

National University of Ireland, Cork (UCC)