Multi-componential analysis of emotions using virtual reality

Abstract

In this study, we propose our data-driven approach to investigate the emotional experience triggered using Virtual Reality (VR) games. We considered a full Component Process Model (CPM) which theorise emotional experience as a multi-process phenomenon. We validated the possibility of the proposed approach through a pilot experiment and confirmed that VR games can be used to trigger a diverse range of emotions. Using hierarchical clustering, we showed a clear distinction between positive and negative emotion in the CPM space.