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

Formative Evaluation of Digital Health Interventions (5310) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3315) Human Factors and Usability Case Studies (1324) Focus Groups and Qualitative Research for Human Factors Research (1585) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (827) Theme Issue 2025: AI-Powered Therapy Bots and Virtual Companions in Digital Mental Health (89)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86904, first published .
iPhone displaying a mental wellness app with a chatbot named Ebb

Real-World Use of a Mental Health AI Companion: Multiple Methods Study

Real-World Use of a Mental Health AI Companion: Multiple Methods Study

Authors of this article:

Christine Callahan1 Author Orcid Image ;   Leah Tanner1 Author Orcid Image ;   Chelsea Coe1 Author Orcid Image ;   Michelle Davis1 Author Orcid Image ;   Jenna Glover1 Author Orcid Image ;   Ellis Bernstein1 Author Orcid Image ;   Katherine Scranton1 Author Orcid Image ;   Kenli Urruty1 Author Orcid Image ;   Matthew Chester1, 2 Author Orcid Image ;   Sarah Kunkle1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Jewell C, McAlister K, Deliberto T, Wallis T, Winns G, Huberty J. From Personalization to Therapeutic Continuity: Framework for Memory in AI-Powered Mental Health Systems. JMIR AI 2026;5:e99950 View
  2. M M, Muneer H, Tehseen R, Qamar N. An Explainable Multi-Class Mental Health Classification Framework from Twitter Posts Using NLP and Machine Learning. International Journal of Innovations in Science and Technology 2026:2325 View