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Design and Formative Evaluation of Mobile Apps (836) Chatbots and Conversational Agents (793) Generative Language Models Including ChatGPT (825) Smoking Cessation (653) mHealth for Wellness, Behavior Change and Prevention (3436)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57318, first published .
Conversational Chatbot for Cigarette Smoking Cessation: Results From the 11-Step User-Centered Design Development Process and Randomized Controlled Trial

Conversational Chatbot for Cigarette Smoking Cessation: Results From the 11-Step User-Centered Design Development Process and Randomized Controlled Trial

Conversational Chatbot for Cigarette Smoking Cessation: Results From the 11-Step User-Centered Design Development Process and Randomized Controlled Trial

Authors of this article:

Jonathan B Bricker1, 2 Author Orcid Image ;   Brianna Sullivan1 Author Orcid Image ;   Kristin Mull1 Author Orcid Image ;   Margarita Santiago-Torres1 Author Orcid Image ;   Juan M Lavista Ferres3 Author Orcid Image
Article Authors Cited by (20) Tweetations (1) Metrics

Journals

  1. de Araujo B, de Jesus Freitas P, Deliga Schroder A, Küchler E, Baratto-Filho F, Ditzel Westphalen V, Carneiro E, Xavier da Silva-Neto U, de Araujo C. PAINe: An Artificial Intelligence–based Virtual Assistant to Aid in the Differentiation of Pain of Odontogenic versus Temporomandibular Origin. Journal of Endodontics 2024;50(12):1761 View
  2. Bricker J, Sullivan B, Mull K, Lavista-Ferres J, Santiago-Torres M. Efficacy of a conversational chatbot for cigarette smoking cessation: Protocol of the QuitBot full-scale randomized controlled trial. Contemporary Clinical Trials 2024;147:107727 View
  3. Abroms L, Yousefi A, Wysota C, Wu T, Broniatowski D. Assessing the Adherence of ChatGPT Chatbots to Public Health Guidelines for Smoking Cessation: Content Analysis. Journal of Medical Internet Research 2025;27:e66896 View
  4. Versluis A, Penfornis K, van der Burg S, Scheltinga B, van Vliet M, Albers N, Meijer E. Targeting Key Risk Factors for Cardiovascular Disease in At-Risk Individuals: Developing a Digital, Personalized, and Real-Time Intervention to Facilitate Smoking Cessation and Physical Activity. JMIR Cardio 2024;8:e47730 View
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  6. Andrew A. Overview of the emerging role of chatbots, including large language models, in supporting tobacco smoking and vaping cessation: a narrative review. Global Health Journal 2025;9(1):6 View
  7. Abroms L, Wysota C, Yousefi A, Wu T, Broniatowski D. ChatGPT-Based Chatbot for Help Quitting Smoking via Text Messaging: An Interventional Study. JMIR Formative Research 2025;9:e79402 View
  8. Aldhafeeri L, Aljumah F, Thabyan F, Alabbad M, AlShahrani S, Alanazi F, Al-Nafjan A. Generative AI Chatbots Across Domains: A Systematic Review. Applied Sciences 2025;15(20):11220 View
  9. Ilmaskal R, Prabandari Y, Oktaria V, Saifudin I. Impact of Digital-based Intervention on Smoking Abstinence and Cessation among Adolescents: A Systematic Review. Asian Journal of Social Health and Behavior 2026;9(1):1 View
  10. Feng X, Tian L, Ho G, Yorke J, Hui V. The Effectiveness of AI Chatbots in Alleviating Mental Distress and Promoting Health Behaviors Among Adolescents and Young Adults: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2025;27:e79850 View
  11. Liu Y, Calle P, Vadakekut M, Rubin D, Nagykaldi Z, Doescher M, Hightow-Weidman L, Pan C, Shao R. AI-Enabled Personalized Smoking Cessation Intervention With the Aipaca Chatbot: Mixed Methods Feasibility Study. JMIR Formative Research 2025;9:e73319 View
  12. Farley B, Radetich E, DAlessandro J, Bulaj G. Metformin-Enhanced Digital Therapeutics for the Affordable Primary Prevention of Diabetes and Cardiovascular Diseases: Advancing Low-Cost Solutions for Lifestyle-Related Chronic Disorders. Healthcare 2025;13(24):3220 View
  13. Santiago-Torres M, Mull K, Sullivan B, Fogel C, Hwang S, Keith A, David S, Bricker J. Overcoming Challenges to Remote Biochemical Verification of Smoking Status: Insights From Participant Interviews. Substance Use: Research and Treatment 2026;20 View
  14. Feng S, Li X, Wake A, Bitterman D. Engaging Artificial Intelligence (AI)-based chatbots in digital health: A systematic review. PLOS Digital Health 2026;5(2):e0001201 View
  15. Sipondo A, Terblanche N. Designing AI coaches: a scoping review. Coaching: An International Journal of Theory, Research and Practice 2026:1 View
  16. Chen S, Alyakin A, Seas A, Yang E, Choi J, Lee J, Chen A, Warman P, Bitolas R, Steele R, Alber D, Oermann E. LLM-assisted systematic review of large language models in clinical medicine. Nature Medicine 2026;32(3):1152 View
  17. Rahman S, Pechmann C, Harris I. Enhancing Detection of Message Intents in a Mobile Health Smoking-Cessation Intervention Using Large Language Model Fine-Tuning, Data Downsampling, and Error Correction: Algorithm Development and Validation. Journal of Medical Internet Research 2026;28:e83437 View
  18. Liu X, Jiang N, Yan H, Li J, Ma D, Wang W, Xie Y, Wang L, Ning L. Tailored personas for anticipatory grief management among primary family caregivers of patients with advanced lung cancer in China: a qualitative study. Scientific Reports 2026 View

Conference Proceedings

  1. Sobolev M. Companion Proceedings of the 31st International Conference on Intelligent User Interfaces. Chatbots or Apps? Design Tradeoffs and the Opportunity for Hybrid Health Interfaces View
  2. Balakrishna M, Bollu S, Lucy G, Pranitha A, Neelima V, Shareef D. 2026 5th International Conference on Sentiment Analysis and Deep Learning (ICSADL). Enhancement of Non-English Dialogue Systems via Artificial Data Synthesis View