Balancing different fitness levels in competitive exergames based on heart rate and performance

Aslihan Tece Bayrak, Rahul Kumar, Jak Tan, Devon AhMu, Jordan Hohepa, Lindsay A. Shaw, Christof Lutteroth, Burkhard C. Wünsche

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

3 Citations (Scopus)

Abstract

Combining exercises with game elements (exergaming) is a promising approach to increase physical activity of users not intrinsically motivated to exercise. Multiplayer games are particularly promising, since they add a social (competitive or collaborative) component. However, exercising together can become frustrating if users have vastly different abilities. In this paper, we review existing approaches for balancing differing physical abilities of players in competitive exergames, and based on this, we propose a novel exertion-based balancing formula. In contrast to previous work, we evaluate exertion-based balancing formulas with a moderately complex gameplay and show that it results in closer competitive gameplay and a more enjoyable game experience. The proposed formula can be applied to a wide variety of exergames and has the potential to increase compliance and long-term use of exergames.

Original languageEnglish
Title of host publicationProceedings of the 29th Australian Computer-Human Interaction Conference
Subtitle of host publicationHuman-Nature, OzCHI 2017
EditorsMargot Brereton, Dhaval Vyas, Alessandro Soro, Bernd Ploderer, Jenny Waycott, Ann Morrison
PublisherAssociation for Computing Machinery
Pages210-217
Number of pages8
ISBN (Electronic)9781450353793
DOIs
Publication statusPublished - 28 Nov 2017
Event29th Australian Computer-Human Interaction Conference, OzCHI 2017 - Brisbane, Australia
Duration: 28 Nov 20171 Dec 2017

Publication series

NameACM International Conference Proceeding Series

Conference

Conference29th Australian Computer-Human Interaction Conference, OzCHI 2017
CountryAustralia
CityBrisbane
Period28/11/171/12/17

Keywords

  • Competitive gameplay
  • Exercise games
  • Exergames
  • Game balancing
  • Heart rate scaling
  • Motivation

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Bayrak, A. T., Kumar, R., Tan, J., AhMu, D., Hohepa, J., Shaw, L. A., Lutteroth, C., & Wünsche, B. C. (2017). Balancing different fitness levels in competitive exergames based on heart rate and performance. In M. Brereton, D. Vyas, A. Soro, B. Ploderer, J. Waycott, & A. Morrison (Eds.), Proceedings of the 29th Australian Computer-Human Interaction Conference: Human-Nature, OzCHI 2017 (pp. 210-217). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3152771.3152794