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

Smoking Cessation (629) Chatbots and Conversational Agents (740) Natural Language Processing (917) Artificial Intelligence (2129) Machine Learning (2076) mHealth for Wellness, Behavior Change and Prevention (3315) Generative Language Models Including ChatGPT (708)

Published on in Vol 10 (2023)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49132, first published .
A Motivational Interviewing Chatbot With Generative Reflections for Increasing Readiness to Quit Smoking: Iterative Development Study

A Motivational Interviewing Chatbot With Generative Reflections for Increasing Readiness to Quit Smoking: Iterative Development Study

A Motivational Interviewing Chatbot With Generative Reflections for Increasing Readiness to Quit Smoking: Iterative Development Study

Authors of this article:

Andrew Brown1 Author Orcid Image ;   Ash Tanuj Kumar1 Author Orcid Image ;   Osnat Melamed2, 3 Author Orcid Image ;   Imtihan Ahmed1 Author Orcid Image ;   Yu Hao Wang1 Author Orcid Image ;   Arnaud Deza1 Author Orcid Image ;   Marc Morcos1 Author Orcid Image ;   Leon Zhu1 Author Orcid Image ;   Marta Maslej4 Author Orcid Image ;   Nadia Minian2, 3, 5, 6, 7 Author Orcid Image ;   Vidya Sujaya1 Author Orcid Image ;   Jodi Wolff2 Author Orcid Image ;   Olivia Doggett8 Author Orcid Image ;   Mathew Iantorno8 Author Orcid Image ;   Matt Ratto8 Author Orcid Image ;   Peter Selby2, 3, 9 Author Orcid Image ;   Jonathan Rose1, 2 Author Orcid Image
Article Authors Cited by (20) Tweetations (4) Metrics

Journals

  1. Kumar A, Wang C, Dong A, Rose J. Generation of Backward-Looking Complex Reflections for a Motivational Interviewing–Based Smoking Cessation Chatbot Using GPT-4: Algorithm Development and Validation. JMIR Mental Health 2024;11:e53778 View
  2. Woolford S, Villegas J, Resnicow K. Motivational Interviewing for the Prevention and Treatment of Pediatric Obesity. Pediatric Clinics of North America 2024;71(5):927 View
  3. Lee S, Yoon J, Cho Y, Chun J. A systematic review of chatbot-assisted interventions for substance use. Frontiers in Psychiatry 2024;15 View
  4. Kotov A, Idalski Carcone A, Towner E. Neural Conversational Agent for Weight Loss Counseling: Protocol for an Implementation and Feasibility Study. JMIR Research Protocols 2024;13:e60361 View
  5. Lachance A, Da S, Yameogo A, Plaisimond J, Naye F, Yousefi F, Bergeron F, Sasseville M, Gagnon M. Interactive Conversational Agents for Cigarette-Smoking and Vaping Cessation: A Mixed-Methods Systematic Review. Multimodal Technologies and Interaction 2024;8(11):101 View
  6. Weingott S, Parkinson J. The application of artificial intelligence in health communication development: A scoping review. Health Marketing Quarterly 2025;42(1):67 View
  7. Kong G, Ouellette R, Murthy D. Generative artificial intelligence and social media: insights for tobacco control. Tobacco Control 2024:tc-2024-058813 View
  8. Zhu J, Dong A, Wang C, Veldhuizen S, Abdelwahab M, Brown A, Selby P, Rose J. The Impact of ChatGPT Exposure on User Interactions With a Motivational Interviewing Chatbot: Quasi-Experimental Study. JMIR Formative Research 2025;9:e56973 View
  9. Dando C, Adam C. Collecting initial accounts using ChatCharlie chatbot improves eyewitness memory in later investigative interviews. Scientific Reports 2025;15(1) View
  10. Llanes K, Amastae J, Amrhein P, Lisha N, Arteaga K, Lopez E, Moran R, Cohn L. Impact of Computer-Mediated Versus Face-to-Face Motivational-Type Interviews on Participants’ Language and Subsequent Cannabis Use: Randomized Controlled Trial. Journal of Medical Internet Research 2025;27:e59085 View
  11. Yousefi F, Naye F, Ouellet S, Yameogo A, Sasseville M, Bergeron F, Ozkan M, Cousineau M, Amil S, Rhéaume C, Gagnon M. Artificial Intelligence in Health Promotion and Disease Reduction: Rapid Review. Journal of Medical Internet Research 2025;27:e70381 View
  12. Karve Z, Calpey J, Machado C, Knecht M, Mejia M. New Doc on the Block: Scoping Review of AI Systems Delivering Motivational Interviewing for Health Behavior Change. Journal of Medical Internet Research 2025;27:e78417 View
  13. Catamuscay Pérez A, Núñez Valencia C, Ordóñez Erazo H. Explorando el uso de inteligencia artificial generativa para el desarrollo de chatbots para portales web universitarios: un mapeo sistemático. Tecnura 2025;29(83):144 View
  14. Bosschaerts K, Kashefi A, De Marez L, Conradie P, Van Hoecke S, Ongenae F. Designing a just-in-time adaptive intervention with trigger detection and a generative chatbot: Smoking cessation use case. DIGITAL HEALTH 2025;11 View
  15. Mohabir V, Lalloo C, Briggs A, Eccleston C, Hess C, Pham Q, Slater H, Velmovitsky P, Stinson J. The transformative potential of digital therapeutics in pediatrics. Pain 2025;166(11S):S121 View
  16. Borsari B, Meacham M, Saiyed A, Kanzaveli T, Tsvetovat M, Cheng J, Hargrave-Bouagnon A, Mirzadegan I, Omeragic F, Layton J, Satterfield J. Protocol for a randomized clinical trial to evaluate the effectiveness of a technology-assisted motivational interviewing (TAMI) chatbot on smoking cessation. Contemporary Clinical Trials 2025;159:108111 View
  17. Eiroa-Solans C, Inzlicht M. From extrinsic to intrinsic motivation: Testing an AI-powered motivational interviewing system to foster prosocial motivation. Computers in Human Behavior Reports 2026;21:100882 View

Books/Policy Documents

  1. Sowbarnika A, Patra A, Kaur L, Suresh S, Srivastava S, Chawla D. Chatbots and Mental Healthcare in Psychology and Psychiatry. View
  2. Kuwar V, Kumari P, Upreti K, Gupta K, Shankar U, Bhide N. Intelligent Systems for Neurocognition and Human-Robot-Computer Interaction. View

Conference Proceedings

  1. Steenstra I, Nouraei F, Arjmand M, Bickmore T. Proceedings of the ACM International Conference on Intelligent Virtual Agents. Virtual Agents for Alcohol Use Counseling: Exploring LLM-Powered Motivational Interviewing View