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. Interactivefeedforwardledtoimprovedperformance while maintaining intrinsic motivation even when participants wereawareoftheinterventions,andwassuperiortocompeting against a virtual competitor.
LanguageEnglish
Title of host publicationCHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York, U. S. A.
PublisherACM and Addison-Wesley
Number of pages14
Volume2018-April
ISBN (Electronic)9781450356206, 9781450356213
ISBN (Print)9781450356206
DOIs
StatusPublished - 21 Apr 2018

Keywords

  • Exergame
  • Feedforward
  • Intrinsic motivation
  • Performance
  • Virtual reality (VR)

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Barathi, S. C., Finnegan, D. J., Farrow, M., Whaley, A., Heath, P., Buckley, J., ... Lutteroth, C. (2018). Interactive Feedforward for Improving Performance and Maintaining Intrinsic Motivation in VR Exergaming. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (Vol. 2018-April). New York, U. S. A.: ACM and Addison-Wesley. https://doi.org/10.1145/3173574.3173982

Interactive Feedforward for Improving Performance and Maintaining Intrinsic Motivation in VR Exergaming. / Barathi, Soumya C.; Finnegan, Daniel J.; Farrow, Matthew; Whaley, Alexander; Heath, Pippa; Buckley, Jude; Dowrick, Peter W.; Wünsche, Burkhard C; Bilzon, James L. J.; O'Neill, Eamonn; Lutteroth, Christof.

CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems. Vol. 2018-April New York, U. S. A. : ACM and Addison-Wesley, 2018.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Barathi, SC, Finnegan, DJ, Farrow, M, Whaley, A, Heath, P, Buckley, J, Dowrick, PW, Wünsche, BC, Bilzon, JLJ, O'Neill, E & Lutteroth, C 2018, Interactive Feedforward for Improving Performance and Maintaining Intrinsic Motivation in VR Exergaming. in CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems. vol. 2018-April, ACM and Addison-Wesley, New York, U. S. A. https://doi.org/10.1145/3173574.3173982
Barathi SC, Finnegan DJ, Farrow M, Whaley A, Heath P, Buckley J et al. Interactive Feedforward for Improving Performance and Maintaining Intrinsic Motivation in VR Exergaming. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems. Vol. 2018-April. New York, U. S. A.: ACM and Addison-Wesley. 2018 https://doi.org/10.1145/3173574.3173982
Barathi, Soumya C. ; Finnegan, Daniel J. ; Farrow, Matthew ; Whaley, Alexander ; Heath, Pippa ; Buckley, Jude ; Dowrick, Peter W. ; Wünsche, Burkhard C ; Bilzon, James L. J. ; O'Neill, Eamonn ; Lutteroth, Christof. / Interactive Feedforward for Improving Performance and Maintaining Intrinsic Motivation in VR Exergaming. CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems. Vol. 2018-April New York, U. S. A. : ACM and Addison-Wesley, 2018.
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