Does social user experience improve motivation for runners? a diary study comparing mobile health applications

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8520 LNCS, Issue PART 4, 2014, Pages 358-369

  Spillers, Frank ^a   Asimakopoulos, Stavros ^b  

^a Experience Dynamics Inc   (United States)

^b UNIVERSITY OF ATHENS   (Greece)

Author keywords

Behavior change; Intrinsic motivation; mHealth; Mobile usability; Ramification; Social user experience

Indexed keywords

HEALTH; MOTIVATION; USABILITY ENGINEERING;

BEHAVIOR CHANGE; INTRINSIC MOTIVATION; MHEALTH; MOBILE USABILITY; RAMIFICATION; USER EXPERIENCE;

DESIGN;

EID: 84958520948     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-07638-6_35     Document Type: Conference Paper

References (24)

1. Trevorrow, P., Fabri, M.: Running to behavior change. In: Marcus, A. (ed.) DUXU/HCII 2013, Part III. LNCS, vol. 8014, pp. 585-593. Springer, Heidelberg (2013)
2. O Reilly, A.G., Spruijt-Metz, D.: Current mHealth Technologies for Physical Activity Assessment and Promotion. Annual Journal of Preventive Medicine 45(4), 501-507 (2013)
3. Fabri, M., Wall, A., Trevorrow, P.: Changing Eating Behaviors through a Cooking-Based Website for the Whole Family. In: Marcus, A. (ed.) DUXU/HCII 2013, Part III. LNCS, vol. 8014, pp. 484-493. Springer, Heidelberg (2013)
4. Pagoto, S., Schneider, K., Jojic, M., DeBiasse, M., Mann, D.: Evidence-based Strategies in Weight-Loss Mobile Apps. Annual Journal of Preventive Medicine 45(5), 576-582 (2013)
5. Healthy People: Physical activity and fitness (2010), http://www.cdc.gov/nchs/healthy-people/publications.htm (retrieved)
6. Liu, C., Zhu, Q., Holroyd, A.K., Seng, K.E.: Status and trends of mobile-health applications for iOS devices: A developers perspective. The Journal of Systems and Software 84, 2022-2033 (2011)
7. Fogg, B.J.: Persuasive Technology: Using Computers to Change What We Think and Do. Morgan Kaufmann, USA (2003)
8. Oinas-Kukkonen, H., Harjumaa, M.: Persuasive systems design: Key issues, process model, and system features. Communications of the Association for Information Systems 24(1), 485-500 (2009)
9. Consolvo, S., McDonald, D.W., Landay, J.A.: Theory-driven design strategies for technologies that support behavior change in everyday life. Presented at the 27th International Conference on Human Factors in Computing Systems (CHI 2009), April 4-9, pp. 405-414. ACM, Boston (2009)
10. Morris, M.: Motivating change with mobile: seven guidelines. Interactions 19(3), 26-31 (2012)
11. Deterding, S., Dixon, D., Khaled, R.: Gamification: Toward a Definition. In: CHI 2011 Gamification Workshop Proceedings, Presented at Annual Conference on Human Factors in Computing Sydtems (CHI 2011), Vancouver, BC, May 7-12, (2011)
12. Mueller, F., Peer, F., Agamanolis, S., Sheridan, J.: Gamification and exertion. In: Proceedings of the Workshop on Gamification at the Conference on Human Factors in Computing Systems (CHI 2011), Vancouver, BC, May 7-12 (2011)
13. Thin, A.G., Gotsis, M.: Game-Based Interactive Media in Behavioral Medicine: Creating Serious Affective-Cognitive-Environmental-Social Integration Experiences. In: Marcus, A. (ed.) DUXU/HCII 2013, Part II. LNCS, vol. 8013, pp. 470-479. Springer, Heidelberg (2013)
14. Brown, W., Yen, P.Y., Rojas, M., Schnall, R.: Assessment of the Health IT Usability Evaluation Model (Health-ITUEM) for evaluating mobile health (mHealth) technology. Journal of Biomedical Informatics 46(6), 1080-1087 (2013)
15. Hsu, M.H., Chiu, C.M.: Internet self-efficacy and electronic service acceptance. Decision Support Systems 38(3), 369-381 (2004)
16. Teo, T.S.H., Lim, V.K.G., Lai, R.Y.C.: Intrinsic and extrinsic motivation in Internet usage. Omega 27(1), 25-37 (1999)
17. Teo, T.S.H.: Demographic and motivation variables associated with Internet usage activities. Internet Research 11(2), 125-137 (2001)
18. Nysveen, H., Pedersen, P.E., Thorbjoørnsen, H.: Explaining intention to use mobile chat services: moderating effects of gender. Journal of Consumer Marketing 22(5), 247-256 (2005)
19. Kim, H.W., Chan, H.C., Gupta, S.: Value-based adoption of mobile Internet: an empirical investigation. Decision Support Systems 43(1), 111-126 (2007)
20. Segerstahl, K., Oinas-Kukkonen, H.: Designing personal exercise monitoring employing multiple modes of delivery: Implications from a qualitative study on heart rate monitoring. International Journal of Medical Informatics 80, e203-e213 (2011)
21. Elliot, H.: The use of diaries in sociological research on health experience. Sociological Research Online 2(2) (1997), http://www.socresonline. org.uk/socresonline/2/2/7.html
22. Taylor-Piliar, R.E., Norton, L.C., Haskell, W.L., Mahbouda, M.H., Fair, J.M., Iribarren, C., Hlatky, M.A., Go, A.S., Fortmann, S.P.: Validation of a new brief physical activity survey among men and women aged 60-69 years. Annual Journal of Epidemiology 164, 598-606 (2006)
23. Spillers, F., Asimakopoulos, S.: Help me relax! Biofeedback and gamification to improve interaction design in healthcare. In: 8th International Conference on Design &Emotion, London, UK, September 11-14, vol. 41 (2012)
24. Venkatesh, V., Morris, M.G.: Why dont men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly 24(1), 115-139 (2000)