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.
Original language | English |
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Article number | 338 |
Number of pages | 8 |
Journal | Proceedings of the ACM on Human-Computer Interaction |
Volume | 8 |
Issue number | CHI PLAY |
DOIs | |
Publication status | Published - 15 Oct 2024 |
Keywords
- Exergaming
- Feedforward
- Intrinsic Motivation
- Performance
- Social Interactive Feedforward
- VR
ASJC Scopus subject areas
- Social Sciences (miscellaneous)
- Human-Computer Interaction
- Computer Networks and Communications