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SmileApp: The Design and Evaluation of an mHealth App for Stress Reduction Through Artificial Intelligence and Persuasive Technology

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Persuasive Technology (PERSUASIVE 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14636))

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Abstract

Mobile health apps are becoming popular and capable of addressing a wide range of health-related issues including stress. In this study, we designed, developed, and evaluated an mHealth application called SmileApp to promote positive mood as a means of reducing stress. The design of SmileApp is grounded in psychological theories and integrates artificial intelligence (AI) and persuasive technology (PT). To evaluate SmileApp, we conducted a two-week in-the-wild study involving 72 participants. This was followed by an optional semi-structured interview with 23 participants. Quantitative results suggest that SmileApp is usable, and the use of the features can convince users to smile more frequently, as well as feel a sense of companionship and connectedness. Furthermore, qualitative results suggest that SmileApp was a unique design to help users alleviate stress. These results offer valuable insights into innovative approaches for designing mHealth applications that promote positive mood. Moreover, the findings underscore the importance of utilizing technology to support emotional wellbeing. We present a novel approach to promote desired behaviors by motivating users to read supportive messages and play mobile games by smiling.

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References

  1. Gold, P.W.: The organization of the stress system and its dysregulation in depressive illness. Mol. Psychiatry 20, 32–47 (2014)

    Article  Google Scholar 

  2. Prior, A., Fenger-Grøn, M., Kjaer Larsen, K.: Original Contribution The Association Between Perceived Stress and Mortality Among People With Multimorbidity: A Prospective Population-Based Cohort Study (2016)

    Google Scholar 

  3. There’s Magic in Your Smile | Psychology Today

    Google Scholar 

  4. Iribarren, S.J.: Effectiveness of mobile apps to promote health and manage disease: systematic review and meta-analysis of randomized controlled trials. JMIR mHealth uHealth 9, e21563 (2021)

    Article  Google Scholar 

  5. Eisenstadt, M., Liverpool, S., Infanti, E.: Mobile Apps That Promote Emotion Regulation, Positive Mental Health, and Well-Being in the General Population: Systematic Review and Meta-analysis (2021)

    Google Scholar 

  6. Moore, G., Galway, L., Donnelly, M.: Remember to smile design of a mobile affective technology to help promote individual happiness through smiling. PervasiveHealth Pervasive Comput. Technol. Healthc. 348–354 (2017)

    Google Scholar 

  7. Santos, V., Paes, F., Pereira, V.: The role of positive emotion and contributions of positive psychology in depression treatment: systematic review. Clin. Pract. Epidemiol. Ment. Heal. 9, 221–237 (2013)

    Article  Google Scholar 

  8. Marmolejo-Ramos, F., Murata, A., Sasaki, K., Yamada, Y., Ikeda, A., Hinojosa, J.A.: Your Face and Moves Seem Happier When I Smile. 67, 14–22 (2020)

    Google Scholar 

  9. Grin and Bear It! Smiling Facilitates Stress Recovery – Association for Psychological Science – APS

    Google Scholar 

  10. Nkwo, M., Orji, R., Ugah, J.: Persuasion for promoting clean and sustainable environment. In: AfriCHI ‘18: Thriving Communities, pp. 1–5. ACM, New York, NY, USA (2018)

    Google Scholar 

  11. Oinas-Kukkonen, H., Harjumaa, M.: A systematic framework for designing and evaluating persuasive systems. In: Oinas-Kukkonen, H., Hasle, P., Harjumaa, M., Segerståhl, K., Øhrstrøm, P. (eds.) PERSUASIVE 2008. LNCS, vol. 5033, pp. 164–176. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-68504-3_15

    Chapter  Google Scholar 

  12. 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 

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

    Google Scholar 

  14. Brindal, E., Hendrie, G.A., Freyne, J., Noakes, M.: A mobile phone app designed to support weight loss maintenance and well-being (MotiMate): randomized controlled trial. JMIR mHealth uHealth 7, e12882 (2019)

    Article  Google Scholar 

  15. Ahtinen, A., Andrejeff, E., Väänänen, K.: Brainwolk - a mobile technology mediated walking meeting concept for wellbeing and creativity at work (2016)

    Google Scholar 

  16. Lau, N., O’Daffer, A., Colt, S.: Android and iPhone mobile apps for psychosocial wellness and stress management: systematic search in app stores and literature review. JMIR mHealth uHealth 8 (2020)

    Google Scholar 

  17. Christmann, C.A., Hoffmann, A., Bleser, G.: Stress management apps with regard to emotion-focused coping and behavior change techniques: a content analysis. JMIR mHealth uHealth 5 (2017)

    Google Scholar 

  18. Wang, T.: The impact of gamification-induced users’ feelings on the continued use of mhealth apps: a structural equation model with the self-determination theory approach. J. Med. Internet Res. 23 (2021)

    Google Scholar 

  19. Folkman, S.: The case for positive emotions in the stress process. Anxiety Stress Coping 21, 3–14 (2008)

    Article  Google Scholar 

  20. Denecke, K., Vaaheesan, S., Arulnathan, A.: A mental health chatbot for regulating emotions (SERMO) - concept and usability test. IEEE Trans. Emerg. Top. Comput. 9, 1170–1182 (2021)

    Article  Google Scholar 

  21. Jungmann, S.M., Klan, T., Kuhn, S., Jungmann, F.: Accuracy of a chatbot (Ada) in the diagnosis of mental disorders: comparative case study with lay and expert users. JMIR Form. Res. 3, e13863 (2019)

    Article  Google Scholar 

  22. van Emmerik, A.A.P., Berings, F., Lancee, J.: Efficacy of a mindfulness-based mobile application: a randomized waiting-list controlled trial. Mindfulness (N. Y) 9, 187–198 (2018)

    Google Scholar 

  23. Deterding, S., Dixon, D., Khaled, R., Nacke, L.: from game design elements to gamefulness: defining “gamification.” In: MindTrek ‘11 Proceedings of 15th International Acadamic and MindTrek Converence Envisioning Future Media Environment, pp. 9–15 (2011)

    Google Scholar 

  24. Lockwood, J., Williams, L., Martin, J.L., Rathee, M., Hill, C.: Effectiveness, user engagement and experience, and safety of a mobile app (Lumi Nova) delivering exposure-based cognitive behavioral therapy strategies to manage anxiety in children via immersive gaming technology: preliminary evaluation study. JMIR Ment. Heal. 9, e29008 (2022)

    Article  Google Scholar 

  25. Farve, N.: Smile Catcher - A Gamified Approach to Smiles

    Google Scholar 

  26. Moltrecht, B., Patalay, P., Deighton, J.: A school-based mobile app intervention for enhancing emotion regulation in children: exploratory trial. JMIR mHealth uHealth 9, e21837 (2021)

    Article  Google Scholar 

  27. Dart | Google Developers

    Google Scholar 

  28. Flutter - Build apps for any screen

    Google Scholar 

  29. What is Java used for? 6 practical Java uses - FutureLearn

    Google Scholar 

  30. Spring Boot Reference Documentation

    Google Scholar 

  31. Client Server Architecture - CIO Wiki

    Google Scholar 

  32. Csikszentmihalyi, M.: Toward a psychology of optimal experience. Flow Found. Posit. Psychol. Collect. Work. Mihaly Csikszentmihalyi. 209–226 (2014)

    Google Scholar 

  33. Seligman, M.E.P.: Flourish: a visionary new understanding of happiness and well-being (2011)

    Google Scholar 

  34. Mirvis, P.H., Csikszentmihalyi, M.: Flow: The Psychology of Optimal Experience (1991)

    Google Scholar 

  35. Csikszentmihalyi and Happiness

    Google Scholar 

  36. Conner, T.S., DeYoung, C.G., Silvia, P.J.: Everyday creative activity as a path to flourishing. J. Posit. Psychol. 13, 181–189 (2018)

    Article  Google Scholar 

  37. google_ml_kit | Flutter Package

    Google Scholar 

  38. Smile, You’re on WebRTC — Using MLKit for Smile Detection | by Houseparty | Good Audience

    Google Scholar 

  39. Cameron, G., et al.: Assessing the usability of a chatbot for mental health care. In: Bodrunova, S.S., et al. (eds.) INSCI 2018. LNCS, vol. 11551, pp. 121–132. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-17705-8_11

    Chapter  Google Scholar 

  40. Fitzpatrick, K.K., Darcy, A., Vierhile, M.: Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot): a randomized controlled trial. JMIR Ment. Heal. 4, e19 (2017)

    Article  Google Scholar 

  41. Keyvanfar, S., Sadeghnia, A., Namnabati, M.: The effects of a neonatal critical care nurse companionship with parents during hospital–home transfer of preterm infants on mothers’ mood status. Nurs. Midwifery Stud. 9, 16 (2020)

    Article  Google Scholar 

  42. The PERMA Model: Your Scientific Theory of Happiness

    Google Scholar 

  43. dart_sentiment | Flutter Package

    Google Scholar 

  44. Ekman, P., et al.: Are There Basic Emotions? (1992)

    Google Scholar 

  45. Lewis, J.R., Sauro, J.: The factor structure of the system usability scale. In: Kurosu, M. (ed.) HCD 2009. LNCS, vol. 5619, pp. 94–103. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-02806-9_12

    Chapter  Google Scholar 

  46. Santoso, I.S., Ferdinansyah, A., Sensuse, D.I., Suryono, R.R., Kautsarina, Hidayanto, A.N.: Effectiveness of gamification in mHealth apps designed for mental illness. In: Proceeding - 2021 2nd International Conference on ICT Rural Development, IC-ICTRuDev 2021 (2021)

    Google Scholar 

  47. Drozd, F., Lehto, T., Oinas-Kukkonen, H.: Exploring perceived persuasiveness of a behavior change support system: A structural model. In: Bang, M., Ragnemalm, E.L. (eds.) PERSUASIVE 2012. LNCS, vol. 7284, pp. 157–168. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-31037-9_14

    Chapter  Google Scholar 

  48. Orji, R., Vassileva, J., Mandryk, R.L.: Modeling the efficacy of persuasive strategies for different gamer types in serious games for health. User Model. User-Adap. Inter. 24, 453–498 (2014)

    Article  Google Scholar 

  49. Bangor, A., Kortum, P., Miller, J.: Determining what individual SUS scores mean: adding an adjective rating scale. J. usability Stud. 4, 114–123 (2009)

    Google Scholar 

  50. Braun, V., Clarke, V.: Using thematic analysis in psychology. Qual. Res. Psychol. 3, 77–101 (2006)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada

    Joseph Orji, Gerry Chan, Chinenye Ndulue & Rita Orji

Authors
  1. Joseph Orji
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  2. Gerry Chan
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  3. Chinenye Ndulue
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  4. Rita Orji
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Corresponding author

Correspondence to Gerry Chan .

Editor information

Editors and Affiliations

  1. The University of Queensland, St Lucia, QLD, Australia

    Nilufar Baghaei

  2. Hamad Bin Khalifa University, Doha, Qatar

    Raian Ali

  3. University of Wollongong, Wollongong, NSW, Australia

    Khin Win

  4. York University, Toronto, ON, Canada

    Kiemute Oyibo

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Orji, J., Chan, G., Ndulue, C., Orji, R. (2024). SmileApp: The Design and Evaluation of an mHealth App for Stress Reduction Through Artificial Intelligence and Persuasive Technology. In: Baghaei, N., Ali, R., Win, K., Oyibo, K. (eds) Persuasive Technology. PERSUASIVE 2024. Lecture Notes in Computer Science, vol 14636. Springer, Cham. https://doi.org/10.1007/978-3-031-58226-4_18

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  • DOI: https://doi.org/10.1007/978-3-031-58226-4_18

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