Interactive Feedforward for Improving Performance and Maintaining Intrinsic Motivation in VR Exergaming
- Submitting institution
-
The University of Bath
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 188625693
- Type
- E - Conference contribution
- DOI
-
10.1145/3173574.3173982
- Title of conference / published proceedings
- Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
- First page
- 1
- Volume
- -
- Issue
- -
- ISSN
- 1062-9432
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3173574.3173982&file=pn3445-file5.mp4&download=true
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
10
- Research group(s)
-
-
- Citation count
- 13
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper introduces the novel "interactive feedforward" method, which can be used to improve performance and motivation in a VR exergame. Furthermore, the paper shows that interactive feedforward can address some of the motivational problems caused by competition in exergames. The paper has been cited in a number of top-tier publications in various areas including CHI, Interact, IEEE VR, Frontiers in Psychology and JMIR Serious Games. The VR Exergaming project has attracted attention from the media (Irish Examiner, BT Tech News); a YouTube video on the project received 50k views within a week.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
