Barathi, Soumya C., Finnegan, Daniel J.  ORCID: https://orcid.org/0000-0003-1169-2842, Proulx, Michael J., O'Neill, Eammon and Lutteroth, Christof
2024.
Advantages of friend-modelled social interactive feedforward for VR exergaming.
Presented at: CHI PLAY 2024,
Tampere, Finland,
14-17 October 2024.
Published in: Nichols, Jeff ed.
Proceedings of the ACM on Human-Computer Interaction.
, vol.8
New York, NY, USA:
ACM,
p. 338.
10.1145/3677103
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Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Computer Science & Informatics |
| Publisher: | ACM |
| ISSN: | 2573-0142 |
| Funders: | UK's EPSRC Centre for Doctoral Training in Digital Entertainment, Marie Sklodowska-Curie grant, Entertainment Research and Applications, Centre for the Analysis of Motion |
| Date of First Compliant Deposit: | 4 August 2024 |
| Date of Acceptance: | 5 July 2024 |
| Last Modified: | 17 Jul 2025 11:15 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/171138 |
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