24 Citations (Scopus)
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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.
Original languageEnglish
Title of host publicationProceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York, U. S. A.
PublisherAssociation for Computing Machinery
Number of pages14
ISBN (Electronic)9781450356206, 9781450356213
ISBN (Print)9781450356206
Publication statusPublished - 21 Apr 2018

Publication series

NameCHI: Conference on Human Factors and Computing Systems
PublisherACM Press
ISSN (Electronic)1062-9432


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

ASJC Scopus subject areas

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

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