Walking in the Wild – Using an Always-On Smartphone Application to Increase Physical Activity

  • Tim Harries
  • Parisa Eslambolchilar
  • Chris Stride
  • Ruth Rettie
  • Simon Walton
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8120)

Abstract

This multidisciplinary paper reports on a large-scale field trial, designed and implemented by a group of social scientists, computer scientists and statisticians, of a new smartphone-based app for the promotion of walking in everyday life. The app, bActive, is designed for a more diverse range of users than the typical active-lifestyle app, since it requires neither additional equipment nor a great deal of commitment to exercise. As a result, it can raise awareness of walking and promote walking amongst those with only a casual or hesitant engagement with the topic. The 6-week randomised controlled trial with 22-40 year-old male participants (N=152) indicates that bActive prompted users to increase the amount of walking they did by encouraging them to value and increase walking that is incidental to normal everyday activities. Longitudinal data analysis showed that use of the app increased walking by an average of 64% but did not find any evidence to suggest that the inclusion of comparative social feedback improves the impact of such apps on male participants.

Keywords

walking feedback norms app active-lifestyle social sharing 

References

  1. 1.
    Allcott, H.: Social Norms and Energy Conservation. J. Public Econ. 95(9-10), 1082–1095 (2011)CrossRefGoogle Scholar
  2. 2.
    Andersen, L.B.: Physical Activity and Health: Even Low Intensity Exercise Such as Walking is Associated with Better Health. Brit. Med. J. 334, 1173 (2007)CrossRefGoogle Scholar
  3. 3.
    Baker, G., Mutrie, N., Lowry, R.: Using Pedometers as Motivational Tools: Are Goals Set in Steps More Effective Than Goals Set in Minutes for Increasing Walking? International Journal of Health Promotion and Education 46 (2008)Google Scholar
  4. 4.
    Berkowitz, A.D.: The Social Norms Approach: Theory, Research, and Annotated Bibliography (2004), http://www.alanberkowitz.com
  5. 5.
    Bohannon, R.W.: Number of Pedometer-Assessed Steps Taken Per Day by Adults: A Descriptive Meta-Analysis. Phys. Ther. 87(12), 1642–1650 (2007)CrossRefGoogle Scholar
  6. 6.
    Bosari, B., Carey, K.B.: Descriptive and Injunctive Norms in College Drinking: A Meta-analytic Integration. J. Stud. Alcohol. 64(3), 331–341 (2003)Google Scholar
  7. 7.
    Bravata, D.M., Smith-Spangler, C., Sundaram, V., Gienger, A.L., Lin, N., Lewis, R., Stave, C.D., Olkin, I., Sirard, J.R.: Using Pedometers to Increase Physical Activity and Improve Health: A Systematic Review. J. Am. Med. Assoc. 298(19), 2296–2304 (2007)CrossRefGoogle Scholar
  8. 8.
    Brusso, R.C., Orvis, K.A.: The Impeding Role of Initial Unrealistic Goal-Setting on Videogame-Based Training Performance: Identifying Underpinning Processes and a Solution. Computers in Human Behavior 29(4), 1686–1694 (2013)CrossRefGoogle Scholar
  9. 9.
    Burchell, K., Rettie, R., Patel, K.: Marketing Social Norms: Social Marketing and the ‘Social Norm Approach’. Journal of Consumer Behaviour 12, 1–9 (2013)CrossRefGoogle Scholar
  10. 10.
    Choi, B.C.K., Pak, A.W.P., Choi, J.C.L., Choi, E.C.L.: Daily Step Goal of 10,000 Steps: A Literature Review. Clinical Investigative Medicine 30(3), E146–E151 (2007)Google Scholar
  11. 11.
    Cialdini, R.B., Goldstein, N.J.: Social Influence: Compliance and Conformity. Annu. Rev. Psychol. 55, 591–621 (2004)CrossRefGoogle Scholar
  12. 12.
    Cialdini, R.B., Reno, R.R., Kallgren, C.A.: A Focus Theory of Normative Conduct: Recycling the Concept of Norms to Reduce Littering in Public Places. J. Pers. Soc. Psychol. 58(6), 1015–1026 (1990)CrossRefGoogle Scholar
  13. 13.
    Consolvo, S., Everitt, K., Smith, I., Landay, J.A.: Design Requirements for Technologies that Encourage Physical Activity. In: CHI 2006, pp. 457–466. ACM (2006)Google Scholar
  14. 14.
    Consolvo, S., Klasnja, P., McDonald, D.W., Avrahami, D., Froehlich, J., LeGrand, L., Libby, R., Mosher, K., Landay, J.A.: Flowers or a Robot Army? Encouraging Awareness & Activity with Personal, Mobile Displays. In: UBICOMP 10, pp. 54–63. ACM (2008)Google Scholar
  15. 15.
    Consolvo, S., McDonald, D.W., Toscos, T., Chen, M.Y., Froehlich, J., Harrison, B., Klasnja, P., LaMarca, A., LeGrand, L., Libby, R., Smith, I., Landay, J.A.: Activity Sensing in the Wild: A Field Trial of Ubifit Garden. In: CHI 2008, pp. 1797–1806. ACM (2008)Google Scholar
  16. 16.
    Dewa, C.S., deRuiter, W., Chau, N., Karioja, K.: Walking for Wellness: Using Pedometers to Decrease Sedentary Behaviour and Promote Mental Health. The International Journal of Mental Health Promotion 11(2), 24–28 (2009)CrossRefGoogle Scholar
  17. 17.
    Groves, A.: Using Pedometers as a Valid Method of Determining Physical Activity Intensity Level. MSc thesis, Brigham Young University, Dept. of Exercise Sciences (2008)Google Scholar
  18. 18.
    Harries, T., Rettie, R., Studley, M., Chambers, S., Burchell, K.: Is social norms marketing effective? A case study in domestic electricity consumption. European Journal of Marketing (in press)Google Scholar
  19. 19.
    Ilies, R., Judge, T.: Goal Regulation Across Time: The Effects of Feedback and Affect. J. Appl. Psychol. 90(3), 453–467 (2005)CrossRefGoogle Scholar
  20. 20.
    Iwane, M., Arita, M., Tomimoto, S.: Walking 10,000 Steps/Day or More Reduces Blood Pressure and Sympathetic Nerve Activity in Mild Essential Hypertension. Hypertens. Res. 23, 573–580 (2000)CrossRefGoogle Scholar
  21. 21.
    Jackson, E.M., Howton, A.: Increasing Walking in College Students Using a Pedometer Intervention: Differences According to Body Mass Index. J. Am. Coll. Health 57(2), 159–164 (2008)CrossRefGoogle Scholar
  22. 22.
    Jones, H., Millward, P., Buraimo, B.: Analysis of the Taking Part Survey. University of Lancashire, Lancaster (2011)Google Scholar
  23. 23.
    Kang, M., Marshall, S.J., Barreira, T.V., Lee, J.-O.: Effect of Pedometer-Based Physical Activity Interventions: A Meta-Analysis. Res. Q. Exercise Sport 80(3), 648–655 (2009)Google Scholar
  24. 24.
    Lewis, M.A., Neighbors, C.: Gender-Specific Misperceptions of College Student Drinking Norms. Psychol. Addict. Behav. 18, 334–339 (2004)CrossRefGoogle Scholar
  25. 25.
    Lin, J.J., Mamykina, L., Lindtner, S., Delajoux, G., Strub, H.B.: Fish’n’Steps: Encouraging Physical Activity with an Interactive Computer Game. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 261–278. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  26. 26.
    Locke, E., Latham, G.: Building a Practically Useful Theory of Goal Setting and Task Motivation: A 35-Year Odyssey. Am. Psychol. 57(9), 705–717 (2002)CrossRefGoogle Scholar
  27. 27.
    Locke, E., Latham, G.: New Directions in Goal-Setting Theory. Curr. Dir. Psychol. Sci. 15(5), 265–268 (2006)CrossRefGoogle Scholar
  28. 28.
    MacLellan, G., Baillie, L., Granat, M.: The Application of a Physical Activity and Location Measurement System to Public Health Interventions to Promote Physical Activity. In: Proceedings of the 2nd International Conference on Pervasive Technologies Related to Assistive Environments, pp. 1–8. ACM, New York (2009)CrossRefGoogle Scholar
  29. 29.
    McCormack, G., Milligan, R., Giles-Corti, B., Clarkson, J.P.: Physical Activity Levels of Western Australian Adults 2002: Results from the Adult Physical Activity Survey and Pedometer Study. Western Australian Government, Perth (2003)Google Scholar
  30. 30.
    Mladenov, M., Mock, M.: A Step Counter Service for Java-Enabled Devices Using a Built-in Accelerometer. In: Proceedings of the Fourth International Conference on Communication System Software and Middleware, pp. 1–5. ACM (2009)Google Scholar
  31. 31.
    Morris, J., Hardman, A.: Walking to health. Sports Med. 23(5), 306–332 (1997)CrossRefGoogle Scholar
  32. 32.
    Pooley, C., Tight, M., Jones, T., Horton, D., Scheldeman, G., Jopson, A., Mullen, C., Chisholm, A., Strano, E., Constantine, S.: Understanding Walking and Cycling: Summary of Key Findings and Recommendations. University of Lancaster, Lancaster (2011)Google Scholar
  33. 33.
    Schneider, P.L., Bassett, D.R., Thompson, D.L.: Effects of 10,000 Steps per Day Goal in Overweight Adults. Am. J. Health Promot. 21(2), 85–89 (2006)Google Scholar
  34. 34.
    Schultz, P.W., Nolan, J.M., Cialdini, R.B., Goldstein, N.J., Griskevicius, V.: The Constructive, Destructive, and Reconstructive Power of Social Norms. Psychol. Sci. 18(5), 429–434 (2007)CrossRefGoogle Scholar
  35. 35.
    Singer, J.D., Willet, J.B.: Applied Longitudinal Data Analysis – modelling change and event occurrence. Oxford University Press (2003)Google Scholar
  36. 36.
    Steel, P., König, C.J.: Integrating Theories of Motivation. Acad. Manage. Rev. 31, 889–913 (2006)CrossRefGoogle Scholar
  37. 37.
    Thaler, R., Sunstein, C.: Nudge: Improving Decisions about Health, Wealth, and Happiness. Yale University Press, New Haven (2008)Google Scholar
  38. 38.
    Toscos, T., Faber, A., An, S., Gandhi, M.P.: Chick Clique: Persuasive Technology to Motivate Teenage Girls to Exercise. Extended Abstracts on Human Factors in Computing Systems, pp. 1873–1878. ACM (2006)Google Scholar
  39. 39.
    Tudor-Locke, C., Ainsworth, B.E., Thompson, R.W., Matthews, C.E.: Comparison of Pedometer and Accelerometer Measures of Free-Living Physical Activity. Med. Sci. Sport. Exer. 34, 2045–2051 (2002)CrossRefGoogle Scholar
  40. 40.
    Winnet, R.: Guide to Health: Nutrition and Physical Activity Outcomes of a Group-Randomized Trial of an Internet-Based Intervention in Churches. Ann. Beh. Med. 33(3), 251–261 (2007)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Tim Harries
    • 1
  • Parisa Eslambolchilar
    • 2
  • Chris Stride
    • 3
  • Ruth Rettie
    • 1
  • Simon Walton
    • 4
  1. 1.Business SchoolKingston UniversityKingston Upon ThamesUK
  2. 2.Computer Science DepartmentSwansea UniversityUK
  3. 3.Institute of Work Psychology, Management SchoolThe University of SheffieldUK
  4. 4.Oxford e-Research CentreUniversity of OxfordUK

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