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

Chatbots and Conversational Agents (801) Web-based and Mobile Health Interventions (4274) mHealth for Wellness, Behavior Change and Prevention (3464) Smoking Cessation (657) Behavior Change (918) User Needs and Competencies (504) Generative Language Models Including ChatGPT (862)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53134, first published .
Effectiveness and User Experience of a Smoking Cessation Chatbot: Mixed Methods Study Comparing Motivational Interviewing and Confrontational Counseling

Effectiveness and User Experience of a Smoking Cessation Chatbot: Mixed Methods Study Comparing Motivational Interviewing and Confrontational Counseling

Effectiveness and User Experience of a Smoking Cessation Chatbot: Mixed Methods Study Comparing Motivational Interviewing and Confrontational Counseling

Authors of this article:

Linwei He1 Author Orcid Image ;   Erkan Basar2 Author Orcid Image ;   Emiel Krahmer1 Author Orcid Image ;   Reinout Wiers3 Author Orcid Image ;   Marjolijn Antheunis1 Author Orcid Image
Article Authors Cited by (9) Tweetations Metrics

Journals

  1. 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
  2. Kashefi A, Bosschaerts K, Ongenae F, De Marez L, Murphy S, Conradie P, Abeele M. Building Digital Therapeutic Alliance with Smoking Cessation Chatbots: An Experimental Examination of Communication Style and User Personality. International Journal of Human–Computer Interaction 2025:1 View
  3. Mukhopadhyay K, Mukhopadhyay J, Sarkar S, Ghosh S, Das S, Choudhury M, Bhattacharya S, Kaur A, Rina K, Guin A, Chaudhuri S, Verma K, Pal A, Sarkar S, Ray D, Basu A. Development and efficacy testing of an artificial intelligence enabled treatment package (eDOSTHI) for tobacco cessation: study protocol for a randomized controlled trial. BMC Psychiatry 2026;26(1) View
  4. Alhefeiti F, Ezzat M, Azim N, Hefty H. A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications 2025;13(07):48 View
  5. Song X, Lu Z, Zhang Y, Gao B, Song H, Shen H, Gao Q, Li W. Pacing the Cure: A Psychophysiological Analysis of User Responses to GAI Conversational Patterns. International Journal of Human–Computer Interaction 2026:1 View
  6. Braggaar A, Liebrecht C, van der Laan N, de Wit J, Croes E, van Miltenburg E, Krahmer E. Evolving Chatbots, Shifted Perceptions – A Near-Replication of Liebrecht and Van der Weegen (2019). International Journal of Human–Computer Interaction 2026:1 View

Conference Proceedings

  1. Song X, Song H, Gao B, Gao Q, Li W, Xu L, Lu Z. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. “Do You Need the Sage's Tea or the Friend's Cola” Exploring the Differential Healing Effects of Generative AI Conversational Styles View
  2. Hu J, Yao X, Huang Z, Liang D, Yang D, Liu D, Li J, Zhang Y, Ma X. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. From Human Pragmatic Language Skills to Conversational Agent Design: A Systematic Review of Transfer Strategies View
  3. Hoang V, Rogers E, J. Ross R. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. An LLM-Based Motivation-Aware Framework For AI Coaching For Behaviour Change View