GENERATIVE AI FOR JUST-IN-TIME MINDFULNESS CONTENT
DOI:
https://doi.org/10.30888/2709-2267.2025-31-00-026Keywords:
wearable devices, stress detection, Just-in-Time interventions, generative AI, digital therapiesAbstract
The paper describes a framework for Just-in-Time Mindfulness that combines data from everyday wearables with generative artificial intelligence to offer the user a short, personalized mindfulness practice at the exact moment when the risk of stress increaReferences
Blalock, J. E., & Smith, E. M. (2007). Conceptual develop-ment of the immune system as a sixth sense. Brain,Behavior, and Immunity, 21, 23-33.;
Cohen, S., Janicki-Deverts, D., & Miller, G. E. (2007).Psychological stress and disease. Journal of the AmericanMedical Association, 298, 1685-1687.;
Wang, J. (2005). Work stress as a risk factor for major depres-sive episode(s). Psychological Medicine, 35, 865-871.
Grant, K. E., Compas, B. E., Stuhlmacher, A. F., Thurm, A.E., McMahon, S. D., & Halpert, J. A. (2003). Stressorsand child and adolescent psychopathology: Moving frommarkers to mechanisms of risk. Psychological Bulletin,129, 447-466.
Grant, K. E., Compas, B. E., Thurm, A. E., McMahon, S. D.,Gipson, P. Y., Campbell, A. J., et al. (2006). Stressors andchild and adolescent psychopathology: Evidence of mod-erating and mediating effects. Clinical Psychology Review,26,
-283
Gould, M. S., Greenberg, T., Velting, D. M., & Shaffer, D.(2003). Youth suicide risk and preventive interventions: Areview of the past 10 years. Journal of the AmericanAcademy of Child and Adolescent Psychiatry, 42, 386-405.
Romeo, R. D., & McEwen, B. S. (2006). Stress and the ado-lescent brain. Annals of the New York Academy ofSciences, 1094, 202-214.
Andersen, S. L., & Teicher, M. H. (2008). Stress, sensitiveperiods and maturational events in adolescent depression.Trends in Neurosciences, 31, 183-191
Alloy, L. B., Abramson, L. Y., Walshaw, P. D., Keyser, J., &Gerstein, R. K. (2006). A cognitive vulnerability-stressperspective on bipolar spectrum disorders in a norma-tive adolescent brain, cognitive, and emotional devel-opment context. Development and Psychopathology, 18,1055-1103.
Klasnja P. et al. Just-in-Time Adaptive Interventions in Mobile Health: Key Components and Design Principles. Proc IEEE (2019).
Kim, Hye-Geum et al. “Stress and Heart Rate Variability: A Meta-Analysis and Review of the Literature.” Psychiatry investigation vol. 15,3 (2018): 235-245. doi:10.30773/pi.2017.08.17
Seipäjärvi SM, Tuomola A, Juurakko J, Rottensteiner M, Rissanen AE, Kurkela JLO, Kujala UM, Laukkanen JA, Wikgren J. Measuring psychosocial stress with heart rate variability-based methods in different health and age groups. Physiol Meas. 2022 May 25;43(5). doi: 10.1088/1361-6579/ac6b7c. PMID: 35483348.
Hongn, A., Bosch, F., Prado, L.E. et al. Wearable Physiological Signals under Acute Stress and Exercise Conditions. Sci Data 12, 520 (2025). https://doi.org/10.1038/s41597-025-04845-9
Yang J. et al. Deep Generative Models for Mindfulness-Based ACT Script Generation. In: Digital Human Modeling, Springer (2022).
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