LembreMe: The Effectiveness of Affective Micro-Interactions in Mobile JITAI-Style Reminder Systems – A Crossover Experimental Study
Resumo
This paper presents LembreMe, a Progressive Web App (PWA) designed to support individuals with executive function difficulties through personalized, just-in-time reminders on mobile devices. A crossover experimental study (N = 10) was conducted to compare affective reminders, incorporating empathetic language, personalization, emojis, and text-to-speech, with neutral reminders based on standard text and default notification sounds. The evaluated metrics included adherence rate, time to action, snooze frequency, user satisfaction (Likert scale), usability (System Usability Scale — SUS), and affective state measured using the Positive and Negative Affect Schedule. The results indicate that affective micro-interactions significantly increased task adherence, reduced task initiation latency, decreased snooze usage, improved user satisfaction, increased perceived usability, and enhanced positive affect. These findings suggest that incorporating affective elements into mobile reminder systems may enhance user engagement and contribute to the design of more effective JITAI-style interventions for executive function support.Referências
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Picard, R. W. (1997). Affective Computing. MIT Press, Cambridge, MA.
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Reeves, B. and Nass, C. (1996). The Media Equation: How People Treat Computers, Television, and New Media Like Real People and Places. Cambridge University Press.
Torning, K. and Oinas-Kukkonen, H. (2009). Persuasive system design: state of the art and future directions. In Proceedings of the 4th international conference on persuasive technology, pages 1–8.
Watson, D., Clark, L. A., and Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The panas scales. Journal of Personality and Social Psychology, 54(6):1063–1070.
Brooke, J. (1996). Sus: A quick and dirty usability scale. In Jordan, P. W., Thomas, B., McClelland, B. A., and Weerdmeester, I. L., editors, Usability Evaluation in Industry, pages 189–194. Taylor & Francis.
Calvo, R. A. and D’Mello, S. (2010). Affect detection: An interdisciplinary review of models, methods, and their applications. IEEE Transactions on Affective Computing, 1(1):18–37.
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences. Lawrence Erlbaum Associates, 2 edition.
Faraone, S. V., Bellgrove, M. A., Brikell, I., Cortese, S., Hartman, C. A., Hollis, C., Newcorn, J. H., Philipsen, A., Polanczyk, G. V., Rubia, K., et al. (2024). Attention-deficit/hyperactivity disorder. Nature Reviews Disease Primers, 10(1):11.
Fogg, B. J. (2003). Persuasive Technology: Using Computers to Change What We Think and Do. Morgan Kaufmann.
Fogg, B. J. (2009). A behavior model for persuasive design. In Proceedings of the 4th International Conference on Persuasive Technology, pages 1–7.
Klasnja, P., Hekler, E. B., Shiffman, S., Boruvka, A., Almirall, D., Tewari, A., and Murphy, S. A. (2015). Microrandomized trials: An experimental design for developing just-in-time adaptive interventions. Health psychology, 34(S):1220.
Nahum-Shani, I., Smith, S. N., Spring, B., Collins, L. M., Witkiewitz, K., Tewari, A., and Murphy, S. A. (2018). Just-in-time adaptive interventions (jitais) in mobile health: Key components and design principles for ongoing health behavior support. JMIR mHealth and uHealth, 6(5):e100.
Oinas-Kukkonen, H. and Harjumaa, M. (2009). Persuasive systems design: Key issues, process model, and system features. Communications of the Association for Information Systems, 24(1):485–500.
Perski, O. and Short, C. E. (2021). Acceptability of digital health interventions: embracing the complexity. Translational behavioral medicine, 11(7):1473–1480.
Picard, R. W. (1997). Affective Computing. MIT Press, Cambridge, MA.
Pielot, M., Church, K., and De Oliveira, R. (2014). An in-situ study of mobile phone notifications. In Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services, pages 233–242.
Reeves, B. and Nass, C. (1996). The Media Equation: How People Treat Computers, Television, and New Media Like Real People and Places. Cambridge University Press.
Torning, K. and Oinas-Kukkonen, H. (2009). Persuasive system design: state of the art and future directions. In Proceedings of the 4th international conference on persuasive technology, pages 1–8.
Watson, D., Clark, L. A., and Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The panas scales. Journal of Personality and Social Psychology, 54(6):1063–1070.
Publicado
19/07/2026
Como Citar
SANTANA, Alan de O.; SILVA, Yuri D. da; PARADEDA, Raul B..
LembreMe: The Effectiveness of Affective Micro-Interactions in Mobile JITAI-Style Reminder Systems – A Crossover Experimental Study. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO UBÍQUA E PERVASIVA (SBCUP), 18. , 2026, Gramado/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 257-268.
ISSN 2595-6183.
DOI: https://doi.org/10.5753/sbcup.2026.21878.
