Projects per year
Abstract
Customised avatars are a powerful tool to increase identification, engagement and intrinsic motivation in digital games. We investigated the effects of customisation in a self-competitive VR exergame by modelling players and their previous performance in the game with customised avatars. In a first study we found that, similar to non-exertion games, customisation significantly increased identification and intrinsic motivation, as well as physical performance in the exergame. In a second study we identified a more complex relationship with the customisation style: idealised avatars increased wishful identification but decreased exergame performance compared to realistic avatars. In a third study, we found that 'enhancing' realistic avatars with idealised characteristics increased wishful identification, but did not have any adverse effects. We discuss the findings based on feedforward and self-determination theory, proposing notions of intrinsic identification (fostering a sense of self) and extrinsic identification (drawing away from the self) to explain the results.
Original language | English |
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Title of host publication | Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems |
Place of Publication | New York, USA |
Publisher | Association for Computing Machinery |
Pages | 1-17 |
Number of pages | 17 |
Volume | 2020-April |
ISBN (Electronic) | 9781450367080 |
DOIs | |
Publication status | Published - 30 Apr 2020 |
Publication series
Name | CHI Conference on Human Factors and Computing Systems |
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Publisher | ACM |
ISSN (Electronic) | 1062-9432 |
Fingerprint
Dive into the research topics of 'Me vs. Super(wo)man: Effects of Customization and Identification in a VR Exergame'. 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., Bilzon, J., Campbell, N., Cazzola, D., Colyer, S., Fincham Haines, T., Hall, P., Kim, K. I., Lutteroth, C., McGuigan, P., O'Neill, E., Richardt, C., Salo, A., Seminati, E., Tabor, A. & Yang, Y.
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)
- Human-Computer Interaction
- EPSRC Centre for Doctoral Training in Advanced Automotive Propulsion Systems (AAPS CDT)
Person: Research & Teaching, Affiliate staff
Datasets
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Supplement for "Me vs. Super(wo)man: Effects of Customization and Identification in a VR Exergame"
Jeffery, Z. (Creator), Koulouris, J. (Creator), Best, J. (Creator), Lutteroth, C. (Creator) & O'Neill, E. (Creator), University of Bath, 15 Jan 2020
DOI: 10.15125/BATH-00757
Dataset