Advantages of friend-modelled social interactive feedforward for VR exergaming

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. Proceedings of the ACM on Human-Computer Interaction. , vol.8 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:	In Press
Schools:	Computer Science & Informatics
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:	08 Nov 2024 08:00
URI:	https://orca.cardiff.ac.uk/id/eprint/171138

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