Exploring Possibilities of Designing Virtual Personal Health Coach in Relation to Gender Differences

  • Hakan Kuru
  • Armagan Kuru
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8519)


Nowadays, technology affects our quality of life in various ways. One necessary aspect of using technology as a tool is to achieve optimal health, in other words, to make health focused decisions about everything in life. Different applications of technology now enable people to track their activity or food intake through applications, web-sites or mobile products. Now, the challenge is to interpret and use large sums of available data in order to improve people’s wellbeing and promote health. In order to understand the possible approaches to promoting health, a study was designed with an aim of understanding what people would expect from a virtual personal health coach and whether there is a difference by gender on priorities. The paper makes conclusions of the possibilities of designing according to the different needs and expectations of women and men from a virtual health coach.


Health promotion virtual health coach personal technologies 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Hassenzahl, M., Tractinsky, N.: User experience - a research agenda. Behaviour & Information Technology 25(2), 91–97 (2006)CrossRefGoogle Scholar
  2. 2.
    McCarthy, J., Wright, P.: Technology as experience. MIT Press, USA (2004)Google Scholar
  3. 3.
    Jonas, S.: What are Health and Wellness? AMAA Journal 23(1), 10–11 (2010)Google Scholar
  4. 4.
    Corbin, C.B., Pangrazi, R.P.: Toward a Uniform Definition of Wellness: A Commentary. President’s Council on Physical Fitness and Sports Research Digest (2001)Google Scholar
  5. 5.
    Corbin, C.B., Pangrazi, R.P., Franks, B.D.: Definitions: Health, Fitness, and Physical Activity. President’s Council on Physical Fitness and Sports Research Digest (2000)Google Scholar
  6. 6.
    Adams, T.: The Power of Perceptions: Measuring Wellness in a Globally Acceptable, Philosophically Consistent Way, Wellness Management (2003)Google Scholar
  7. 7.
    Diener, E., Wirtz, D., Biswas-Diener, R., Tov, W., Kim-Prieto, C., Choi, D.-W., Oishi, S.: New measures of well-being. Springer (2009)Google Scholar
  8. 8.
    Jonas, S.: The wellness process for healthy living: A mental tool for facilitating progress through the stages of change. AMAA Journal, Health Care Industry (2005)Google Scholar
  9. 9.
    Hettler, B.: Six Dimensions of Wellness Model (1976)Google Scholar
  10. 10.
    Miller, G.D., Foster, L.T.: Critical synthesis of wellness literature. University of Victoria, Faculty of Human and Social Development & Department of Geography (2010)Google Scholar
  11. 11.
    Chen, M.Y., Wang, E.K., Yang, R.J., Liou, Y.M.: Adolescent health promotion scale: development and psychometric testing. Public Health Nursing 20(2), 104–110 (2003)CrossRefGoogle Scholar
  12. 12.
    Van Rensburg, C.J., Surujlal, J., Dhurup, M.: Exploring wellness practices and barriers: A qualitative study of university student-athletes. African Journal for Physical, Health Education, Recreation & Dance 17(2), 248–265 (2011)Google Scholar
  13. 13.
    Chen, M., Wang, E.K., Yang, R., Liou, Y.: Adolescent Health Promotion Scale: development and psychometric testing. Public Health Nursing 20(2), 104–110 (2003)CrossRefGoogle Scholar
  14. 14.
    Monroe, M.: what is wellness? IDEA Fitness Journal 3(8), 103–106 (2006)Google Scholar
  15. 15.
    Williams, L.C., Day, B.T.: Medical Cost Savings for Web-Based Wellness Program Participants From Employers Engaged in Health Promotion Activities. American Journal of Health Promotion 25(4), 272–280 (2011)CrossRefGoogle Scholar
  16. 16.
    Ahtinen, A., Mattila, E., Väätänen, A., Hynninen, L., Salminen, J., Koskinen, E., Laine, K.: User Experiences of Mobile Wellness Applications in Health Promotion: User Study of Wellness Diary, Mobile Coach and Self Relax. In: Proceedings of the PERVASIVEHEALTH. 3rd International Conference on Pervasive Computing Technologies for Healthcare, IEEE (2009)Google Scholar
  17. 17.
    Demiris, G., Thompson, H.J., Reeder, B., Wilamowska, K., Zaslavsky, O.: Using informatics to capture older adults’ wellness. International Journal of Medical Informatics 82(11), e232–e241 (2013)CrossRefGoogle Scholar
  18. 18.
    Milner, C.: Changing the Way We AGE. Fitness Business Canada 14(2), 24–29 (2013)Google Scholar
  19. 19.
    Jae-Hyoung, C., Hyuk-Sang, K., Hun-Sung, K., Jeong-Ah, O., Kun-Ho, Y.: Effects on diabetes management of a health-care provider mediated, remote coaching system via a PDA-type glucometer and the Internet. Journal of Telemedicine & Telecare 17(7), 365–370 (2011)CrossRefGoogle Scholar
  20. 20.
    Arteaga, S.M., Kudeki, M., Woodworth, A., Kurniawan, S.: Mobile system to motivate teenagers’ physical activity. In: Proceedings of the 9th International Conference on Interaction Design and Children, Barcelona, Spain. ACM (2010)Google Scholar
  21. 21.
    Berkovsky, S., Coombe, M., Helmer, R.: Activity interface for physical activity motivating games. In: Proceedings of the 15th International Conference on Intelligent User Interfaces, Hong Kong, China. ACM (2010)Google Scholar
  22. 22.
    Consolvo, S., Klasnja, P., McDonald, D.W., Landay, J.A.: Goal-setting considerations for persuasive technologies that encourage physical activity. In: Proceedings of the 4th International Conference on Persuasive Technology, Claremont, California. ACM (2009)Google Scholar
  23. 23.
    Fujiki, Y.: iPhone as a physical activity measurement platform. In: Proceedings of the 28th International Conference Extended Abstracts on Human Factors in Computing Systems, Atlanta, Georgia, USA. ACM (2010)Google Scholar
  24. 24.
    Fujiki, Y., Kazakos, K., Puri, C., Buddharaju, P., Pavlidis, I., Levine, J.: NEAT-o-Games: blending physical activity and fun in the daily routine. Comput. Entertain. 6(2), 1–22 (2008)CrossRefGoogle Scholar
  25. 25.
    Welk, G.J., McClain, J.J., Eisenmann, J.C., Wickel, E.E.: Field Validation of the MTI Actigraph and BodyMedia Armband Monitor Using the IDEEA Monitor. Obesity 15(4), 918–928 (2007)CrossRefGoogle Scholar
  26. 26.
    Li, I., Dey, A.K., Forlizzi, J.: Using Context to Reveal Factors that Affect Physical Activity. ACM Trans. Comput.-Hum. Interact. 19(1), 21 (2012)CrossRefGoogle Scholar
  27. 27.
    Kuru, A., Erbuğ, Ç., Tümer, M.: Creating Awareness Through Personal Informatics Systems: User Expectations Analysis. Tasarım+ Kuram 9(16), 58–70 (2013)Google Scholar
  28. 28.
    Franks, B.D., Wood, R.H.: Use of technology in health-related fitness programs. Quest (00336297) 49(3), 315–321 (1997)Google Scholar
  29. 29.
    Davis, R.G.: Fitness and Wellness Industry Game Changers: A Window Into the Next 30 Years. IDEA Fitness Journal 10(1), 32–40 (2013)Google Scholar
  30. 30.
    Rayle, A.D.: Adolescent gender differences in mattering and wellness. Journal of Adolescence 28(6), 753–763 (2005)CrossRefGoogle Scholar
  31. 31.
    Crose, R., Nicholas, D.R., Gobble, D.C., Frank, B.: Gender and Wellness: A Multidimensional Systems Model for Counseling. Journal of Counseling & Development 71(2), 149–156 (1992)CrossRefGoogle Scholar
  32. 32.
    Roothman, B., Kirsten, D.K., Wissing, M.P.: Gender Differences in Aspects of Psychological Well-Being. South African Journal of Psychology 33(4), 212–218 (2003)CrossRefGoogle Scholar
  33. 33.
    Krippendorff, K.: Content Analysis: An introduction to Its Methodology. Sage Publications, Inc., USA (2004)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Hakan Kuru
    • 1
  • Armagan Kuru
    • 2
  1. 1.Physical Education and SportsMiddle East Technical UniversityTurkey
  2. 2.UTEST Product Usability UnitMiddle East Technical UniversityTurkey

Personalised recommendations