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

Formative Evaluation of Digital Health Interventions (3519) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2304) Methods and Feasibility Studies (553) Behavior Change (914) Chatbots and Conversational Agents (797) JMIR Theme Issue: COVID-19 Special Issue (2568)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40277, first published .
Expressive Interviewing Agents to Support Health-Related Behavior Change: Randomized Controlled Study of COVID-19 Behaviors

Expressive Interviewing Agents to Support Health-Related Behavior Change: Randomized Controlled Study of COVID-19 Behaviors

Expressive Interviewing Agents to Support Health-Related Behavior Change: Randomized Controlled Study of COVID-19 Behaviors

Authors of this article:

Ian Stewart1 Author Orcid Image ;   Charles Welch2 Author Orcid Image ;   Lawrence An3 Author Orcid Image ;   Ken Resnicow4 Author Orcid Image ;   James Pennebaker5 Author Orcid Image ;   Rada Mihalcea1 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. 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
  2. Sayed F, Park A, Sullivan P, Jordan A, Kwon S, Ge Y. Identifying key user experience and technical features for sustained use of unguided chatbots for health-related behavior change: a systematic review. Journal of the American Medical Informatics Association 2026 View