ABSTRACT
Smartphone-based applications are increasingly being used to combat unhealthy habits resulting in obesity or reduced physical mobility. In turn, gamification has been identified as a useful tool to motivate individuals towards behavioural change. However, both health professionals and game developers are currently working on island solutions addressing individual problems due to the lack of efficient frameworks enabling cooperation in this domain. This has resulted in a large number of mHealth apps, each using different motivational techniques, metrics and health data. In this paper we propose a unified user-centred framework which is capable of running third-party developer's apps within a sandbox. Using this approach, we can mitigate often voiced privacy and safety concerns and simultaneously tailor health-interventions using content from developers as well as user preferences and environment in order to facilitate internalisation of healthy lifestyles. Apart from this, we provide indications for operationalizing our conceptual framework in future work.
- Azar, K.M., Lesser, L.I., Laing, B.Y., Stephens, J., Aurora, M.S., Burke, L.E., Palaniappan, L.P.: Mobile applications for weight management: theory-based content analysis. American journal of preventive medicine 45(5), 583--589 (2013)Google Scholar
- Bartholomew, L.K., Parcel, G.S., Kok, G., Gottlieb, N.H., Fernandez, M.E.: Planning health promotion programs: an intervention mapping approach. John Wiley & Sons (2011)Google Scholar
- Boulos, M.N.K., Brewer, A.C., Karimkhani, C., Buller, D.B., Dellavalle, R.P.: Mobile medical and health apps: state of the art, concerns, regulatory control and certification. Online journal of public health informatics 5(3), 229 (2014)Google Scholar
- Buijink, A.W.G., Visser, B.J., Marshall, L.: Medical apps for smartphones: lack of evidence undermines quality and safety. Evidence Based Medicine pp. ebmed--2012 (2012)Google Scholar
- Charland, A., Leroux, B.: Mobile application development: web vs. native. Communications of the ACM 54(5), 49--53 (2011) Google ScholarDigital Library
- Conroy, D.E., Yang, C.H., Maher, J.P.: Behavior change techniques in top-ranked mobile apps for physical activity. American journal of preventive medicine 46(6), 649--652 (2014)Google Scholar
- Craven, M.P., Lang, A.R., Martin, J.L.: Developing mhealth apps with researchers: multi-stakeholder design considerations. In: Design, User Experience, and Usability. User Experience Design for Everyday Life Applications and Services, pp. 15--24. Springer (2014)Google Scholar
- Crutzen, R.: From ehealth technologies to interventions. Journal of medical Internet research 14(3) (2012)Google Scholar
- Crutzen, R.: The behavioral intervention technology model and intervention mapping: The best of both worlds. Journal of medical Internet research 16(8) (2014)Google Scholar
- Deterding, S.: Skill atoms as design lenses for user-centered gameful design (2013)Google Scholar
- Garrie, R.L., Paustian, P.E.: mhealth regulation, legislation, and cybersecurity. In: mHealth, pp. 45--63. Springer (2014)Google Scholar
- Green, C.S., Bavelier, D.: Action video game modifies visual selective attention. Nature 423(6939), 534--537 (2003)Google ScholarCross Ref
- Hardman, A.E., Stensel, D.J.: Physical activity and health: the evidence explained. Routledge (2009)Google Scholar
- Haslam, D., Sattar, N., Lean, M.: ObesityâÀŤtime to wake up. Bmj 333(7569), 640--642 (2006)Google ScholarCross Ref
- Heron, K.E., Smyth, J.M.: Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. British journal of health psychology 15(1), 1--39 (2010)Google Scholar
- Hwa Hsu, S., Lee, F.L., Wu, M.C.: Designing action games for appealing to buyers. CyberPsychology & Behavior 8(6), 585--591 (2005)Google ScholarCross Ref
- Jin, X., Hu, X., Ying, K., Du, W., Yin, H., Peri, G.N.: Code injection attacks on html5-based mobile apps: Characterization, detection and mitigation. In: Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security. pp. 66--77. ACM (2014) Google ScholarDigital Library
- Kelly, T., Yang, W., Chen, C., Reynolds, K., He, J.: Global burden of obesity in 2005 and projections to 2030. International journal of obesity 32(9), 1431--1437 (2008)Google Scholar
- Kumar, S., Nilsen, W.J., Abernethy, A., Atienza, A., Patrick, K., Pavel, M., Riley, W.T., Shar, A., Spring, B., Spruijt-Metz, D., et al.: Mobile health technology evaluation: the mhealth evidence workshop. American journal of preventive medicine 45(2), 228--236 (2013)Google Scholar
- Michie, S., Richardson, M., Johnston, M., Abraham, C., Francis, J., Hardeman, W., Eccles, M.P., Cane, J., Wood, C.E.: The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Annals of behavioral medicine 46(1), 81--95 (2013)Google Scholar
- Mohr, D.C., Schueller, S.M., Montague, E., Burns, M.N., Rashidi, P.: The behavioral intervention technology model: An integrated conceptual and technological framework for ehealth and mhealth interventions. Journal of Medical Internet Research 16(6), e146 (2014)Google ScholarCross Ref
- Nacke, L.E., Bateman, C., Mandryk, R.L.: Brainhex: preliminary results from a neurobiological gamer typology survey. In: Entertainment Computing--ICEC 2011, pp. 288--293. Springer (2011) Google ScholarDigital Library
- Navarro-Barrientos, J.E., Rivera, D.E., Collins, L.M.: A dynamical model for describing behavioural interventions for weight loss and body composition change. Mathematical and computer modelling of dynamical systems 17(2), 183--203 (2011)Google Scholar
- Oduor, M., Alahäivälä, T., Oinas-Kukkonen, H.: Persuasive software design patterns for social influence. Personal and Ubiquitous Computing 18(7), 1689--1704 (2014) Google ScholarDigital Library
- O'Neill, S., Brady, R.: Clinical involvement and transparency in medical apps; not all apps are equal. Colorectal Disease 15(1), 122--122 (2013)Google ScholarCross Ref
- Orji, R., Mandryk, R.L., Vassileva, J., Gerling, K.M.: Tailoring persuasive health games to gamer type. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. pp. 2467--2476. ACM (2013) Google ScholarDigital Library
- Paredes, P.: Design principles for the conceptualization of games for health behaviour change. CHI 2013 (2013)Google Scholar
- Pereira, P., Duarte, E., Rebelo, F., Noriega, P.: A review of gamification for health-related contexts. In: Design, User Experience, and Usability. User Experience Design for Diverse Interaction Platforms and Environments, pp. 742--753. Springer (2014) Google ScholarDigital Library
- Riley, W.T., Rivera, D.E., Atienza, A.A., Nilsen, W., Allison, S.M., Mermelstein, R.: Health behavior models in the age of mobile interventions: are our theories up to the task? Translational behavioral medicine 1(1), 53--71 (2011)Google Scholar
- Scanlon, M., Drescher, D., Sarkar, K.: Improvement of visual attention and working memory trough a web-based cognitive training program. A Lumos Labs White Paper (2007)Google Scholar
- Seligman, M.E., Csikszentmihalyi, M.: Positive psychology: An introduction., vol. 55. American Psychological Association (2000)Google Scholar
- Sunyaev, A., Dehling, T., Taylor, P.L., Mandl, K.D.: Availability and quality of mobile health app privacy policies. Journal of the American Medical Informatics Association pp. amiajnl--2013 (2014)Google Scholar
- Yamakami, T.: Gamification literacy: Emerging needs for identifying bad gamification. In: Multimedia and Ubiquitous Engineering, pp. 395--403. Springer (2013)Google ScholarCross Ref
- Yang, C.H., Maher, J.P., Conroy, D.E.: Implementation of behavior change techniques in mobile applications for physical activity. American Journal of Preventive Medicine (2015)Google Scholar
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