Interactive feedforward for improving performance and maintaining intrinsic motivation in VR exergaming
- Submitting institution
-
Cardiff University / Prifysgol Caerdydd
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 97032694
- Type
- E - Conference contribution
- DOI
-
10.1145/3173574.3173982
- Title of conference / published proceedings
- CHI '18: CHI Conference on Human Factors in Computing Systems
- First page
- 1
- Volume
- 0
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- April
- Year of publication
- 2018
- URL
-
http://dx.doi.org/10.1145/3173574.3173982
- Supplementary information
-
-
- 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)
-
C - Cybersecurity, privacy and human centred computing
- Citation count
- 13
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Resulting from an interdisciplinary collaboration between the departments of computer science and health, this work is the first to implement feedforward in an interactive experience, leading to interactive feedforward (IF), a psychophysiological technique to increase exercise performance and maintain motivation. We combine a cycling-based exercise with a virtual reality game where players compete against an artificially improved self-model, with players exerting more effort while reporting an enjoyable experience. IF requires no bespoke hardware/software other than that required to play the exergame and is adaptable to the individual player.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -