A fear-directed approach to a novel affective virtual reality game system

Lead Research Organisation: University of York
Department Name: Computer Science

Abstract

Affective computing methods have presented potential in providing engaging and immersive game experiences, as well as in facilitating the effects of purposeful games related to emotions. There are however inconsistent findings when it comes to the assessment of biofeedback data and its interpretation into a model of emotional states. This is partly due to unfocused approaches over multiple gaming systems, a lack of informed comparisons between measurement devices, and a generalized view of emotions, reducing the complexity and usefulness of affective data. The proposed study will therefore focus only on VR systems and fear-related experiences to build a system that precisely and reliably outputs emotional data in the best possible way suited for VR games. Upon succession, this system will be able to advance emotion-related gameplay development, empathetic social agents for better interactions, as well as provide new evidence for effective psychological training interventions using affective data in video games.

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S022325/1 01/10/2019 31/03/2028
2449620 Studentship EP/S022325/1 01/10/2020 30/09/2024 Maximilian Croissant