Advantages of Friend-Modelled Social Interactive Feedforward for VR Exergaming
VR exergaming is a promising motivational tool to incentivise exercise. We present a novel VR exergaming method called social interactive feedforward. The player competes with an 'enhanced model' of one of their friends in a real-time VR environment, showing improved performance levels in a way the player can relate to. Social interactive feedforward was tested in a cycling-based VR exergame and players competed with enhanced models of themselves, their friend, and a stranger moving at the same enhanced pace. Results show that friend-modelled social interactive feedforward improves performance and intrinsic motivation the most. This indicates that the mere association of the enhanced model with their friend results in a rapid improvement in performance and motivation which implies that social feedforward was successfully elicited by using an enhanced friend's model. This widens the application of self-modelled feedforward to a wide range of social options which enables players to also reap the benefits of socialising in addition to feedforward benefits.
Authors
- Michael J. Proulx (ORCID: https://orcid.org/0000-0003-4066-3645)
- Daniel Finnegan (ORCID: https://orcid.org/0000-0003-1169-2842)
- Christof Lutteroth (ORCID: https://orcid.org/0000-0003-0634-7569)
- Soumya C. Barathi (ORCID: https://orcid.org/0000-0002-8416-9318)
- Eamonn O’Neill (ORCID: https://orcid.org/0000-0002-1637-458X)
Institutions
- University of Bath (GB)
- Cardiff University (GB)
Publication Details
- Journal
- Proceedings of the ACM on Human-Computer Interaction
- Published
- 2024-10-14
- DOI
- https://doi.org/10.1145/3677103
- Citations
- 1
- Primary Topic
- Behavioral Health and Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.41
Funders
- European Commission
- Cardiff University
- Engineering and Physical Sciences Research Council
- Centre for Digital Entertainment