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

Chatbots and Conversational Agents (458) Artificial Intelligence (1186) mHealth for Wellness, Behavior Change and Prevention (2728) Smoking Cessation (514)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20251, first published .
Engaging Unmotivated Smokers to Move Toward Quitting: Design of Motivational Interviewing–Based Chatbot Through Iterative Interactions

Engaging Unmotivated Smokers to Move Toward Quitting: Design of Motivational Interviewing–Based Chatbot Through Iterative Interactions

Engaging Unmotivated Smokers to Move Toward Quitting: Design of Motivational Interviewing–Based Chatbot Through Iterative Interactions

Authors of this article:

Fahad Almusharraf1 Author Orcid Image ;   Jonathan Rose1 Author Orcid Image ;   Peter Selby2, 3 Author Orcid Image
Article Authors Cited by (24) Tweetations (7) Metrics

Journals

  1. Saiyed A, Layton J, Borsari B, Cheng J, Kanzaveli T, Tsvetovat M, Satterfield J. Technology-Assisted Motivational Interviewing: Developing a Scalable Framework for Promoting Engagement with Tobacco Cessation Using NLP and Machine Learning. Procedia Computer Science 2022;206:121 View
  2. He L, Balaji D, Wiers R, Antheunis M, Krahmer E. Effectiveness and Acceptability of Conversational Agents for Smoking Cessation: A Systematic Review and Meta-analysis. Nicotine and Tobacco Research 2023;25(7):1241 View
  3. Wu X, Du J, Jiang H, Zhao M. Application of Digital Medicine in Addiction. Journal of Shanghai Jiaotong University (Science) 2022;27(2):144 View
  4. Pedamallu H, Ehrhardt M, Maki J, Carcone A, Hudson M, Waters E. Technology-Delivered Adaptations of Motivational Interviewing for the Prevention and Management of Chronic Diseases: Scoping Review. Journal of Medical Internet Research 2022;24(8):e35283 View
  5. Alphonse A, Stewart K, Brown J, Perski O. Exploring Users’ Experiences With a Quick-Response Chatbot Within a Popular Smoking Cessation Smartphone App: Semistructured Interview Study. JMIR Formative Research 2022;6(7):e36869 View
  6. Whittaker R, Dobson R, Garner K. Chatbots for Smoking Cessation: Scoping Review. Journal of Medical Internet Research 2022;24(9):e35556 View
  7. nair U, Greene K, Marhefka S, Kosyluk K, Galea J. Developing a Conversational agent (Chatbot) for Individuals Ambivalent about Quitting Smoking: A Study Protocol (Preprint). JMIR Research Protocols 2022 View
  8. Shan Y, Ji M, Xie W, Qian X, Li R, Zhang X, Hao T. Language Use in Conversational Agent–Based Health Communication: Systematic Review. Journal of Medical Internet Research 2022;24(7):e37403 View
  9. Bendotti H, Ireland D, Lawler S, Oates D, Gartner C, Marshall H. Introducing Quin: The Design and Development of a Prototype Chatbot to Support Smoking Cessation. Nicotine and Tobacco Research 2024;26(5):612 View
  10. Powell L, Nour R, Sleibi R, Al Suwaidi H, Zary N. Democratizing the Development of Chatbots to Improve Public Health: Feasibility Study of COVID-19 Misinformation. JMIR Human Factors 2023;10:e43120 View
  11. Bendotti H, Lawler S, Chan G, Gartner C, Ireland D, Marshall H. Conversational artificial intelligence interventions to support smoking cessation: A systematic review and meta-analysis. DIGITAL HEALTH 2023;9 View
  12. Brown A, Kumar A, Melamed O, Ahmed I, Wang Y, Deza A, Morcos M, Zhu L, Maslej M, Minian N, Sujaya V, Wolff J, Doggett O, Iantorno M, Ratto M, Selby P, Rose J. A Motivational Interviewing Chatbot With Generative Reflections for Increasing Readiness to Quit Smoking: Iterative Development Study. JMIR Mental Health 2023;10:e49132 View
  13. Ding H, Simmich J, Vaezipour A, Andrews N, Russell T. Evaluation framework for conversational agents with artificial intelligence in health interventions: a systematic scoping review. Journal of the American Medical Informatics Association 2024;31(3):746 View
  14. Kosyluk K, Baeder T, Greene K, Tran J, Bolton C, Loecher N, DiEva D, Galea J. Mental Distress, Label Avoidance, and Use of a Mental Health Chatbot: Results From a US Survey. JMIR Formative Research 2024;8:e45959 View
  15. Singh T, Truong M, Roberts K, Myneni S. Sequencing conversational turns in peer interactions: An integrated approach for evidence-based conversational agent for just-in-time nicotine cravings intervention. DIGITAL HEALTH 2024;10 View
  16. Oesterle T, Hall-Flavin D, Bormann N, Loukianova L, Fipps D, Breitinger S, Gilliam W, Wu T, Correa da Costa S, Arndt S, Karpyak V. Therapeutic Content of Mobile Phone Applications for Substance Use Disorders: An Umbrella Review. Mayo Clinic Proceedings: Digital Health 2024;2(2):192 View
  17. 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 (Preprint). JMIR Mental Health 2023 View

Books/Policy Documents

  1. Krahmer E, Bosse T, de Bruijn G. The International Encyclopedia of Health Communication. View
  2. Bosschaerts K, Stragier J, Steenwinckel B, De Marez L, Van Hoecke S, Ongenae F. Pervasive Computing Technologies for Healthcare. View
  3. Farshad S, Brovar Y, Fortin C. Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation. View