skip to main content
10.1145/3079628.3079679acmconferencesArticle/Chapter ViewAbstractPublication PagesumapConference Proceedingsconference-collections
research-article

Towards a Long Term Model of Virtual Reality Exergame Exertion

Published:09 July 2017Publication History

ABSTRACT

Virtual reality (VR) exergames have the potential to be a fun way to get exercise. People have different preferences and responses when it comes to both exercising an playing games, meaning that there are potential benefits from creating a user model for exergaming. This could support various forms of personalization, such as game recommenders, and personalization within a game. We define a VR exergame user model, VRex, that represents a user's exertion as well a their goals and preferences for exercise and for games We illustrate the use of VRex to represent 1 users who played 4 games, based on data about their actual and perceived exertion and their satisfaction with each game. This demonstrates the diversity of the user models, in terms of the user model's components. This is the first work to explore the design of user models for virtual reality exergames and has the potential to serve as a foundation for game personalization, recommenders and open model interfaces.

References

  1. Debjanee Barua, Judy Kay, Bob Kummerfeld, and Cécile Paris. 2014. Modelling long term goals. In International Conference on User Modeling, Adaptation, and Personalization. Springer, 1--12.Google ScholarGoogle ScholarCross RefCross Ref
  2. John Bolton, Denis Lirette, Mike Lambert, and Ben Unsworth. 2014. PaperDude: A Virtual Reality Cycling Exergame. CHI '14 Extended Abstracts on Human Factors in Computing Systems (2014), 475--478. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Gunnar Borg. 1982. Psychophysical bases of perceived exertion. (1982).Google ScholarGoogle Scholar
  4. Gunnar Borg. 1998. Borg ffis perceived exertion and pain scales. Human Kinetics July 1998 (1998), 104 vii.Google ScholarGoogle Scholar
  5. Carl J Caspersen, Kenneth E Powell, and Gregory M Christenson. 1985. Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. Public health reports 100, 2 (1985), 126.Google ScholarGoogle Scholar
  6. BetterHealth Channel. 2017. Exercise Intensity. (2017). https://www.betterhealth. vic.gov.au/health/healthyliving/exercise-intensityGoogle ScholarGoogle Scholar
  7. Christopher R Cole, JoAnne M Foody, Eugene H Blackstone, and Michael S Lauer. 2000. Heart rate recovery after submaximal exercise testing as a predictor of mortality in a cardiovascularly healthy cohort. Annals of internal medicine 132, 7 (2000), 552--555.Google ScholarGoogle ScholarCross RefCross Ref
  8. Gaston Godin, RJ Shephard, and others. 1985. A simple method to assess exercise behavior in the community. Can J Appl Sport Sci 10, 3 (1985), 141--146.Google ScholarGoogle Scholar
  9. Kristoffer Hagen. 2016. Gameplay as Exercise Designing an Engaging Multiplayer Biking Exergame. (2016), 1872--1878. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Sandro Hardy, Stefan Göbel, Michael Gutjahr, Josef Wiemeyer, and Ralf Steinmetz. 2011. Adaptation Model for Indoor Exergames. September (2011), 1--13.Google ScholarGoogle Scholar
  11. William L. Haskell, I. Min Lee, Russell R. Pate, Kenneth E. Powell, Steven N. Blair, Barry A. Franklin, Caroline A. Macera, Gregory W. Heath, Paul D. Thompson, and Adrian Bauman. 2007. Physical activity and public health: Updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Circulation 116, 9 (2007), 1081--1093.Google ScholarGoogle ScholarCross RefCross Ref
  12. Han-Chung Huang, May-Kuen Wong, Ju Lu, Wei-Fan Huang, and Ching-I Teng. 2017. Can using exergames improve physical fitness? A 12-week randomized controlled trial. Computers in Human Behavior 70 (2017), 310--316. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Magnus Thorsten Jensen, Poul Suadicani, Hans Ole Hein, and Finn Gyntelberg. 2013. Elevated resting heart rate, physical fitness and all-cause mortality: a 16-year follow-up in the Copenhagen Male Study. Heart 99, 12 (2013), 882--887.Google ScholarGoogle ScholarCross RefCross Ref
  14. Juha Karvonen and Timo Vuorimaa. 1988. Heart Rate and Exercise Intensity During Sports Activities. Sports Medicine 5, 5 (1988), 303--311.Google ScholarGoogle ScholarCross RefCross Ref
  15. Matthew J. Klein and Christina S. Simmers. 2009. Exergaming: virtual inspiration, real perspiration. Young Consumers: Insight and Ideas for Responsible Marketers 10, 1 (2009), 35--45.Google ScholarGoogle ScholarCross RefCross Ref
  16. Stephanie Lee. 2016. How Long You Should Rest Between Sets for the Biggest Training Benefits. (2016). http://vitals.lifehacker.com/ how-long-you-should-rest-between-sets-for-the-biggest-t-1782785683Google ScholarGoogle Scholar
  17. Steven R. McClaran. 2003. The effectiveness of personal training on changing attitudes towards physical activity. Journal of Sports Science and Medicine 2, 1 (2003), 10--14.Google ScholarGoogle Scholar
  18. A Mesquita, M Trabulo, M Mendes, JF Viana, and R Seabra-Gomes. 1996. The maximum heart rate in the exercise test: the 220-age formula or Sheffeld's table? Revista portuguesa de cardiologia: orgao oficial da Sociedade Portuguesa de Cardiologia= Portuguese journal of cardiology: an oficial journal of the Portuguese Society of Cardiology 15, 2 (1996), 139--44.Google ScholarGoogle Scholar
  19. B. M. Nes, I. Janszky, U. Wisløff, A. Støylen, and T. Karlsen. 2013. Age-predicted maximal heart rate in healthy subjects: The HUNT Fitness Study. Scandinavian Journal of Medicine and Science in Sports 23, 6 (2013), 697--704.Google ScholarGoogle ScholarCross RefCross Ref
  20. J Adam Noah, David K Spierer, Atsumichi Tachibana, and Shaw Bronner. 2011. Vigorous energy expenditure with a dance exer-game. J Exerc Physiol Online 14, 4 (2011), 13--28.Google ScholarGoogle Scholar
  21. Harm op den Akker, Valerie M Jones, and Hermie J Hermens. 2014. Tailoring real-time physical activity coaching systems: a literature survey and model. User modeling and user-adapted interaction 24, 5 (2014), 351--392. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Rita Orji, Julita Vassileva, and Regan L Mandryk. 2014. Modeling the efficacy of persuasive strategies for different gamer types in serious games for health. User Modeling and User-Adapted Interaction 24, 5 (2014), 453--498. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Sergej M Ostojic, Marko D Stojanovic, and Julio Calleja-Gonzalez. 2011. Ultra short-term heart rate recovery after maximal exercise: relations to aerobic power in sportsmen. Chin J Physiol 54, 2 (2011), 105--110.Google ScholarGoogle ScholarCross RefCross Ref
  24. Russell R Pate, Michael Pratt, Steven N Blair, William L Haskell, Caroline A Macera, Claude Bouchard, David Buchner, Walter Ettinger, Gregory W Heath, Abby C King, and others. 1995. Physical activity and public health: a recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine. Jama 273, 5 (1995), 402--407.Google ScholarGoogle ScholarCross RefCross Ref
  25. Lindsay Alexander Shaw, Burkhard Claus Wunsche, Christof Lutteroth, Stefan Marks, Jude Buckley, and Paul Corballis. 2015. Development and Evaluation of an Exercycle Game Using Immersive Technologies. 8th Australasian Workshop on Health Informatics and Knowledge Management (HIKM 2015) January (2015), 27--30.Google ScholarGoogle Scholar
  26. Jeff Sinclair, Philip Hingston, and Martin Masek. 2007. Considerations for the design of exergames. In Proceedings of the 5th international conference on Com- puter graphics and interactive techniques in Australia and Southeast Asia. ACM, 289--295. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Scott J Strath, Leonard A Kaminsky, Barbara E Ainsworth, Ulf Ekelund, Patty S Freedson, Rebecca A Gary, Caroline R Richardson, Derek T Smith, Ann M Swartz, and others. 2013. Guide to the assessment of physical activity: clinical and research applications. Circulation 128, 20 (2013), 2259--2279.Google ScholarGoogle ScholarCross RefCross Ref
  28. Alasdair G. Thin and Nicola Poole. 2010. Dance-Based ExerGaming: User Experience Design Implications for Maximizing Health Benefits Based on Exercise Intensity and Perceived Enjoyment. Springer Berlin Heidelberg, Berlin, Heidelberg, 189--199. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Bob G Witmer and Michael J Singer. 1998. Measuring Presence in Virtual Environments: A Presence Questionnaire. Presence: Teleoper. Virtual Environ. 7, 3 (1998), 225--240. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Soojeong Yoo. 2016. VRun: Running-in-place virtual reality exergame. (2016), 1--5. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. Soojeong Yoo, Christopher Ackad, Tristan Heywood, and Judy Kay. 2017. Evaluating the Actual and Perceived Exertion Provided by Virtual Reality Games. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, 3050--30 Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Towards a Long Term Model of Virtual Reality Exergame Exertion

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          UMAP '17: Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization
          July 2017
          420 pages
          ISBN:9781450346351
          DOI:10.1145/3079628
          • General Chairs:
          • Maria Bielikova,
          • Eelco Herder,
          • Program Chairs:
          • Federica Cena,
          • Michel Desmarais

          Copyright © 2017 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 9 July 2017

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article

          Acceptance Rates

          UMAP '17 Paper Acceptance Rate29of80submissions,36%Overall Acceptance Rate162of633submissions,26%

          Upcoming Conference

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader