This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3280) mHealth for Wellness, Behavior Change and Prevention (3343) Web-based and Mobile Health Interventions (4054) Anxiety and Stress Disorders (1336) Mobile Health (mhealth) (3496)

Published on in Vol 6, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36018, first published .
Improving Well-being With a Mobile Artificial Intelligence–Powered Acceptance Commitment Therapy Tool: Pragmatic Retrospective Study

Improving Well-being With a Mobile Artificial Intelligence–Powered Acceptance Commitment Therapy Tool: Pragmatic Retrospective Study

Improving Well-being With a Mobile Artificial Intelligence–Powered Acceptance Commitment Therapy Tool: Pragmatic Retrospective Study

Authors of this article:

Navot Naor1 Author Orcid Image ;   Alex Frenkel1 Author Orcid Image ;   Mirène Winsberg2 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

Journals

  1. Vertsberger D, Naor N, Winsberg M. Adolescents’ Well-being While Using a Mobile Artificial Intelligence–Powered Acceptance Commitment Therapy Tool: Evidence From a Longitudinal Study. JMIR AI 2022;1(1):e38171 View
  2. Mitsea E, Drigas A, Skianis C. Digitally Assisted Mindfulness in Training Self-Regulation Skills for Sustainable Mental Health: A Systematic Review. Behavioral Sciences 2023;13(12):1008 View
  3. Gallegos C, Kausler R, Alderden J, Davis M, Wang L. Can Artificial Intelligence Chatbots Improve Mental Health?. CIN: Computers, Informatics, Nursing 2024;42(10):731 View
  4. Li S, Fu W, Liu W, Zhong N. A Study on the Effect of Fear of Negative Evaluation on Restrained Eating and Its Intervention among Female College Students. International Journal of Mental Health Promotion 2025;27(2):137 View
  5. Criddle J, Malvini W, Jasper H, Bordieri M. Lessons Learned in Digital Health Promotion: The Promise and Challenge of Contextual Behavioral Science Methodology in Valuing Intervention Research. Behavioral Sciences 2025;15(8):1095 View
  6. Alexander D, Alexander B, Martin T, Christoph J. The role of prompt, voice, and personality factors in the acceptance and evaluation of AI-generated mindfulness exercises. Scientific Reports 2025;15(1) View
  7. Datu J, Brauer K. A Brief Reflection on the IAPP’s Recent Growth Indicators and Future Roadmap to Advance the Science of Positive Psychology. International Journal of Applied Positive Psychology 2025;10(4) View

Books/Policy Documents

  1. Majumder S, Dey N. AI-Driven Wellbeing to Enhance Lives and Work Environments. View

Conference Proceedings

  1. Peltola J, Kaipainen K, Keinonen K, Kiuru N, Turunen M. Proceedings of the 5th International Conference on Conversational User Interfaces. Developing A Conversational Interface for an ACT-based Online Program: Understanding Adolescents’ Expectations of Conversational Style View