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Interactive feedforward for improving performance and maintaining intrinsic motivation in VR exergaming

Barathi, Soumya C., O'Neill, Eamonn, Lutteroth, Christof, Finnegan, Daniel J., Farrow, Matthew, Whaley, Alexander, Heath, Pippa, Buckley, Jude, Dowrick, Peter W., Wuensche, Burkhard C. and Bilzon, James L. J. 2018. Interactive feedforward for improving performance and maintaining intrinsic motivation in VR exergaming. Presented at: 2018 CHI Conference on Human Factors in Computing Systems, Montreal QC, Canada, 21 - 26 April 2018. CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, 10.1145/3173574.3173982

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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.

Item Type: Conference or Workshop Item (Paper)
Status: Published
Schools: Computer Science & Informatics
Publisher: ACM
ISBN: 978-1-4503-5620-6
Funders: EPSRC
Date of First Compliant Deposit: 15 July 2019
Date of Acceptance: 21 April 2018
Last Modified: 19 Jul 2019 14:00
URI: http://orca-mwe.cf.ac.uk/id/eprint/124222

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