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Abstract
Exergames commonly use low to moderate intensity exercise protocols. Their effectiveness in implementing high intensity protocols remains uncertain. We propose a method for improving performance while maintaining intrinsic motivation in high intensity VR exergaming. Our method is based on an interactive adaptation of the feedforward method: a psychophysical training technique achieving rapid improvement in performance by exposing participants to self models showing previously unachieved performance levels. We evaluated our method in a cycling-based exergame. Participants competed against (i) a self model which represented their previous speed; (ii) a self model representing their previous speed but increased resistance therefore requiring higher performance to keep up; or (iii) a virtual competitor at the same two levels of performance. We varied participants’ awareness of these differences. Interactive feedforward led to improved performance while maintaining intrinsic motivation even when participants were aware of the interventions,and was superior to competing against a virtual competitor.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 665992
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 665992
Original language | English |
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Title of host publication | Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems |
Place of Publication | New York, U. S. A. |
Publisher | Association for Computing Machinery |
Pages | 1-14 |
Number of pages | 14 |
Volume | 2018-April |
ISBN (Electronic) | 9781450356206, 9781450356213 |
ISBN (Print) | 9781450356206 |
DOIs | |
Publication status | Published - 21 Apr 2018 |
Publication series
Name | CHI: Conference on Human Factors and Computing Systems |
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Publisher | ACM Press |
ISSN (Electronic) | 1062-9432 |
Bibliographical note
Paper No. 408Keywords
- Exergame
- Feedforward
- Intrinsic motivation
- Performance
- Virtual reality (VR)
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design
- Software
Fingerprint
Dive into the research topics of 'Interactive Feedforward for Improving Performance and Maintaining Intrinsic Motivation in VR Exergaming'. Together they form a unique fingerprint.Projects
- 1 Finished
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Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA)
Cosker, D. (PI), Bilzon, J. (CoI), Campbell, N. (CoI), Cazzola, D. (CoI), Colyer, S. (CoI), Fincham Haines, T. (CoI), Hall, P. (CoI), Kim, K. I. (CoI), Lutteroth, C. (CoI), McGuigan, P. (CoI), O'Neill, E. (CoI), Richardt, C. (CoI), Salo, A. (CoI), Seminati, E. (CoI), Tabor, A. (CoI) & Yang, Y. (CoI)
Engineering and Physical Sciences Research Council
1/09/15 → 28/02/21
Project: Research council
Profiles
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Eamonn O'Neill
- Department of Computer Science - Head of Department
- UKRI CDT in Accountable, Responsible and Transparent AI
- Centre for the Analysis of Motion, Entertainment Research & Applications
- Centre for Networks and Collective Behaviour
- Centre for Doctoral Training in Decarbonisation of the Built Environment (dCarb)
- REal and Virtual Environments Augmentation Labs (REVEAL)
- Bath Institute for the Augmented Human
- Human-Computer Interaction
Person: Research & Teaching, Core staff