skip to main content
10.1145/2811780.2811917acmotherconferencesArticle/Chapter ViewAbstractPublication PageswhConference Proceedingsconference-collections
research-article

Role model in human physical activity

Published:14 October 2015Publication History

ABSTRACT

Physical activity is an area of life in which social influence plays a major role. Observing the activity of a sedentary person may cause the observer to exercise less; observing a persistently active person can serve as a motivating factor. The goal of this research is to determine how to optimally pair individuals in order to facilitate motivational relationships with respect to physical activity. This research performs an observational study of data collected from a mobile health and fitness application, iBurnCalorie, which allows users to follow each other in addition to tracking physical activity. Through this social feature, this study examines the influence of users on each other's activity patterns. Our preliminary results indicate that some users have chosen effective role models without any intervention. If this natural effect can be replicated, such a novel interventional networking feature could have a significant impact within iBurnCalorie and all similar applications.

References

  1. Bastian, M., Heymann, S., Jacomy, M., et al. Gephi: an open source software for exploring and manipulating networks. ICWSM 8 (2009), 361--362.Google ScholarGoogle ScholarCross RefCross Ref
  2. Christakis, N. A. A., and Fowler, J. H. H. The Spread of obesity in a large social network over 32 years. New England Journal of Medicine 357, 4 (July 2007), 370--379.Google ScholarGoogle ScholarCross RefCross Ref
  3. Dawber, T. The Framingham Study: The Epidemiology of Atherosclerotic Disease. Harvard University Press, 1980.Google ScholarGoogle ScholarCross RefCross Ref
  4. Du, H., Youngblood, G. M., and Pirolli, P. Efficacy of a smartphone system to support groups in behavior change programs. In Proceedings of the Wireless Health 2014 on National Institutes of Health, ACM (2014), 1--8. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. McPherson, M., Smith-Lovin, L., and Cook, J. M. Birds of a feather: Homophily in social networks. Annual Review of Sociology 27, 1 (2001), 415--444.Google ScholarGoogle ScholarCross RefCross Ref
  6. Pinheiro, F. L., Santos, M. D., Santos, F. C., and Pacheco, J. M. Origin of peer influence in social networks. Physical Review Letters 112, 9 (2014), 098702.Google ScholarGoogle ScholarCross RefCross Ref
  7. Squazzoni, F., Jager, W., and Edmonds, B. Social simulation in the social sciences a brief overview. Social Science Computer Review 32, 3 (2014), 279--294. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Valente, T. W., Fujimoto, K., Chou, C.-P., and Spruijt-Metz, D. Adolescent affiliations and adiposity: a social network analysis of friendships and obesity. Journal of Adolescent Health 45, 2 (2009), 202--204.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Role model in human physical activity

    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 Other conferences
      WH '15: Proceedings of the conference on Wireless Health
      October 2015
      157 pages
      ISBN:9781450338516
      DOI:10.1145/2811780

      Copyright © 2015 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: 14 October 2015

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      WH '15 Paper Acceptance Rate28of106submissions,26%Overall Acceptance Rate35of139submissions,25%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader