ABSTRACT
Physical inactivity is an increasingly serious global health problem, which implies a strong need for effective and engaging interventions. Smartphone technology offers new possibilities to address physical activity promotion. For app-based interventions to have an impact, both the effectiveness and user appreciation of the app are important. In this paper, we explore the user appreciation of the Active2Gether intervention, which offers personalized coaching to increase physical activity levels in daily life. The results are compared to the evaluation of a simplified version of the Active2Gether app (in which no coaching messages are sent) and the Fitbit app. Overall, the results reveal that users of a physical activity app appreciate a coaching feature to be included (on top of self-monitoring functionalities), but are also critical of how it is implemented (in terms of the number and content of the messages). The results also show that it is important to find a balance in the number of messages sent: too many messages seem to be perceived as annoying, but on the other hand, such system-initiated user interaction seems to reduce dropout.
- W. H. O. "Global Recommendations on Physical Activity for Health," 2010. {Online}. Available: http://www.webcitation.org/6ITBUAKj 4. {Accessed March 2017}.Google Scholar
- I. M. Lee, E. J. Shiroma, F. Lobelo, P. Puska, S. N. Blair, P. T. Katzmarzyk and L. P. A. S. W. G., "Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy," The Lancet, vol. 380, no. 9838, pp. 219--229, 2012.Google ScholarCross Ref
- W. H. O. "Physical activity Fact Sheet No.385," February 2014. {Online}. Available: http://www.webcitation.org/6SMZsQsXZ. {Accessed March 2017}.Google Scholar
- M. Y. Kwan, J. Cairney, G. E. Faulkner and E. E. Pullenayegum, "Physical activity and other health-risk behaviors during the transition into early adulthood: a longitudinal cohort study," American Journal of Preventive Medicine, vol. 42, no. 1, pp. 14--20, 2012.Google ScholarCross Ref
- S. Bell and C. Lee, "Emerging adulthood and patterns of physical activity among young Australian women," International Journal of Behavioral Medicine, vol. 12, no. 4, pp. 227--235, 2005.Google ScholarCross Ref
- TelecomNieuwsNet, "Onderzoek: Smartphonepenetratie vlakt in Nederland af," 2016. {Online}. Available: https://telecomnieuwsnet.wordpress.com/2016/03/08/onderzoek-smartphonepenetratie-vlakt-in-nederland-af/. {Accessed March 2017}.Google Scholar
- "Motivating Patients to Use Smartphone Health Apps," Consumer Health Information Corporation (CHIC), 2011. {Online}. Available: http://www.consumer-health.com/motivating-patients-to-use-smartphone-health-apps/. {Accessed March 2017}.Google Scholar
- S. Schoeppe, S. Alley, W. V. Lippevelde, N. A. Bray, S. L. Williams, M. J. Duncan and C. Vandelanotte, "Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review," International Journal of Behavioral Nutrition and Physical Activity, vol. 13, no. 1, p. 127, 2016.Google ScholarCross Ref
- A. C. King, E. B. Hekler, L. A. Grieco, S. J. Winter, J. L. Sheats, M. P. Buman, B. Banerjee, T. N. Robinson and J. Cirimele, "Harnessing different motivational frames via mobile phones to promote daily physical activity and reduce sedentary behavior in aging adults," PLoS One, vol. 8, no. 4, p. e62613, 2013.Google ScholarCross Ref
- J. S. Mollee and C. N. van der Wal, "A Computational Agent Model of Influences on Physical Activity Based on the Social Cognitive Theory," in Boella G., Elkind E., Savarimuthu B.T.R., Dignum F., Purvis M.K. (eds) PRIMA 2013: Principles and Practice of Multi-Agent Systems. PRIMA 2013. Lecture Notes in Computer Science, vol 8291. Springer, Berlin, Heidelberg, 2013.Google Scholar
- M. C. A. Klein, A. Manzoor, A. Middelweerd, J. S. Mollee and S. J. te Velde, "Encouraging Physical Activity via a Personalized Mobile System," IEEE Internet Computing, vol. 19, no. 4, pp. 20--27, 2015.Google ScholarCross Ref
- "International Physical Activity Questionnaire," {Online}. Available: https://sites.google.com/site/theipaq/home. {Accessed March 2017}.Google Scholar
- American College of Sports Medicine position stand, "The recommended quantity and quality of exercise for developing and maintaining cardiorespiratory and muscular fitness, and flexibility in healthy adults," Medicine & Science in Sports & Exercise, vol. 30, no. 6, pp. 975--991, 1998.Google Scholar
- H. G. C. Kemper, W. T. M. Ooijendijk and M. Stiggelbout, "Consensus over de Nederlandse Norm voor Gezond Bewegen {Consensus on the Dutch standard for healthy exercise}," Tijdschrift voor Sociale Gezondheidszorg, vol. 78, pp. 180--183, 2000.Google Scholar
- A. M. Lund, "Measuring Usability with the USE Questionnaire," Usability Interfae, vol. 8, no. 2, pp. 3--6, 2001.Google Scholar
- J. Sauro, "SUPR-Q: A Comprehensive Measure of the Quality of the Website User Experience," Journal of Usability Studies, vol. 10, no. 2, pp. 68--86, 2015. Google ScholarDigital Library
- A. C. King, E. B. Hekler, L. A. Grieco, S. J. Winter, J. L. Sheats, M. P. Buman, B. Banerjee, T. N. Robinson and J. Cirimele, "Effects of Three Motivationally Targeted Mobile Device Applications on Initial Physical Activity and Sedentary Behavior Change in Midlife and Older Adults," PLoS One, vol. 11, no. 6, p. e0156370, 2016.Google ScholarCross Ref
- N. J. Safran, Z. Madar and D. R. Shahar, "The impact of a Web-based app (eBalance) in promoting healthy lifestyles: randomized controlled trial," Journal of Medical Internet Research, vol. 17, no. 3, p. e56, 2015.Google ScholarCross Ref
- L. Hebden, A. Cook, H. P. van der Ploeg, L. King, A. Bauman and M. Allman-Farinelli, "A mobile health intervention for weight management among young adults: a pilot randomised controlled trial," Journal of Human Nutrition and Dietetics, vol. 27, no. 4, pp. 322--332, 2014.Google ScholarCross Ref
- World Health Organization, "Physical activity," World Health Organization, 2016. {Online}. Available: http://www.who.int/topics/physical_activity/en/. {Accessed October 2016}.Google Scholar
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