Skip to main content

Exploring Behavior Change Features for Mobile Workout Applications

  • Conference paper
  • First Online:
Mobile Web and Intelligent Information Systems (MobiWIS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10486))

Included in the following conference series:

  • 1193 Accesses

Abstract

With the rapid emergence of mobile technologies in recent years, mobile health (m-health) has become fundamental to healthcare. Persuasion strategies and behavior change support features are widely used in m-health applications to increase the effectiveness of these applications on users. However, in the literature, there is a lack of research to analyze the current situation of m-health applications particularly from the perspective of behavior change approaches. In this study, the workout applications in the health and fitness category of Google Play store were selected and explored in terms of the relation of the features with the number of downloads and rating statistics obtained from the store. The findings are expected to be a guideline for application developers in order for m-health applications to be more effective in changing users’ behaviors to lead a healthy life.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Istepanian, R.S.H., Pattichis, C.S., Laxminarayan, S.: Introduction to mobile M-health systems. In: Micheli-Tzanakou, E. (ed.) M-Health: Emerging Mobile Health Systems, pp. 3–14. Springer, New York (2006)

    Chapter  Google Scholar 

  2. Norris, A.C., Stockdale, R.S., Sharma, S.: A strategic approach to M-Health. Health Inform. J. 15(3), 244–253 (2009)

    Article  Google Scholar 

  3. Fogg, B.J.: Persuasive technology: using computers to change what we think and do. Ubiquity 3(44), 2 (2002)

    Article  Google Scholar 

  4. Oinas-Kukkonen, H.: A foundation for the study of behavior change support systems. Pers. Ubiquitous Comput. 17(6), 1223–1235 (2012)

    Article  Google Scholar 

  5. Oinas-Kukkonen, H., Harjumaa, M.: Persuasive systems design: key issues, process model, and system features. Commun. Assoc. Inf. Syst. 24, 485–500 (2009)

    Google Scholar 

  6. Ploderer, B., Reitberger, W., Oinas-Kukkonen, H., van Gemert-Pijnen, J.: Social interaction and reflection for behaviour change. Pers. Ubiquitous Comput. 18, 1667–1676 (2014)

    Article  Google Scholar 

  7. Munson S., Consolvo, S.: Exploring goal-setting, rewards, self-monitoring, and sharing to motivate physical activity. In: Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare, pp. 25–32. IEEE Press, San Diego (2012)

    Google Scholar 

  8. Liu, C., Zhu, Q., Holroyd, K.A., Seng, E.K.: Status and trends of mobile-health applications for ios devices: a developer’s perspective. J. Syst. Softw. 84(11), 2022–2033 (2011)

    Article  Google Scholar 

  9. Harjumaa, M., Segerståhl, K., Oinas-Kukkonen, H.: Understanding Persuasive System Functionality in Practice: A Field Trial of Polar FT60. In: Proceedings of the Fourth International Conference on Persuasive Technology, PERSUASIVE 2009, Claremont, California, USA (2009)

    Google Scholar 

  10. Dennison, L., Morrison, L., Conway, G., Yardley, L.: Opportunities and challenges for smartphone applications in supporting health behavior change: qualitative study. J. Med. Internet Res. 15(4), e86 (2013)

    Article  Google Scholar 

  11. Chang, T., Kaasinen, E., Kaipainen, K.: What Influences users’ decisions to take apps into use? A framework for evaluating persuasive and engaging design in mobile apps for well-being. In: Proceedings of the 11th International Conference on Mobile and Ubiquitous Multi Proceeding, MUM 2012, pp. 1–10. ACM New York (2012)

    Google Scholar 

  12. Unal, P., Temizel, T.T., Eren, P.E.: An exploratory study on the outcomes of influence strategies in mobile application recommendations. In: 2nd International Workshop on Behavior Change Support Systems, pp. 27–40 (2014)

    Google Scholar 

  13. Butler, M.: Android: changing the mobile landscape. IEEE Pervasive Comput. 10(1), 4–7 (2011)

    Article  MathSciNet  Google Scholar 

  14. Gavalas, D., Economou, D.: Development platforms for mobile applications: status and trends. IEEE Softw. 28(1), 77–86 (2011)

    Article  Google Scholar 

  15. Peng, H., Long, F., Ding, C.: Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans. Pattern Anal. Mach. Intell. 27(8), 1226–1238 (2005)

    Article  Google Scholar 

  16. Cohen, J.: A power primer. Psychol. Bull. 112(1), 155–159 (1992)

    Article  Google Scholar 

  17. Oduor, M., Alahäivälä, T., Oinas-Kukkonen, H.: Persuasive software design patterns for social influence. Pers. Ubiquitous Comput. 18(7), 1689–1704 (2014)

    Article  Google Scholar 

  18. Stibe, A.: Advancing typology of computer-supported influence: moderation effects in socially influencing systems. In: MacTavish, T., Basapur, S. (eds.) PERSUASIVE 2015. LNCS, vol. 9072, pp. 253–264. Springer, Cham (2015). doi:10.1007/978-3-319-20306-5_23

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Perin Ünal .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Ünal, P., Cavdar, S.K., Temizel, T.T., Eren, P.E., Iyengar, S. (2017). Exploring Behavior Change Features for Mobile Workout Applications. In: Younas, M., Awan, I., Holubova, I. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2017. Lecture Notes in Computer Science(), vol 10486. Springer, Cham. https://doi.org/10.1007/978-3-319-65515-4_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-65515-4_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65514-7

  • Online ISBN: 978-3-319-65515-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics