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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advantages of Friend-Modelled Social Interactive Feedforward for VR Exergaming

Michael J. Proulx, Daniel Finnegan, Christof Lutteroth, Soumya C. Barathi et al.
1 citations
Proceedings of the ACM on Human-Computer Interaction
Behavioral Health and Interventions
0.41
article

Advantages of Friend-Modelled Social Interactive Feedforward for VR Exergaming

Michael J. Proulx, Daniel Finnegan, Christof Lutteroth, Soumya C. Barathi, Eamonn O’Neill
article en
1 citations

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.

Proceedings of the ACM on Human-Computer InteractionVol. 8(CHI PLAY)
University of Bath (GB), Cardiff University (GB)
European Commission, Cardiff University, Engineering and Physical Sciences Research Council, Centre for Digital Entertainment
Reduced inequalities
Openalex Percentile: Top 33%
Behavioral Health and Interventions
0.41
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.