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

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 2024:1 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