Accessibility settings

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

Formative Evaluation of Digital Health Interventions (5485) Mobile Health (mhealth) (5345) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3421) mHealth for Wellness, Behavior Change and Prevention (4361) Chatbots and Conversational Agents (1259) Theme Issue 2025: AI-Powered Therapy Bots and Virtual Companions in Digital Mental Health (88)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/89708, first published .
Alternative text does not exist

Engagement, Feasibility, and Perceived Alliance With a Large Language Model–Enabled Mental Health Voice and Chatbot: Exploratory Longitudinal Observational Study

Engagement, Feasibility, and Perceived Alliance With a Large Language Model–Enabled Mental Health Voice and Chatbot: Exploratory Longitudinal Observational Study

Authors of this article:

Lea Maria Schäfer1 Author Orcid Image ;   Tabea Krause1 Author Orcid Image ;   Stephan Köhler1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Lea Maria Schäfer   1 , BA, BSc, MSc ;   Tabea Krause   1 , MSc ;   Stephan Köhler   1, 2 , Prof Dr

1 Department of Psychiatry and Psychotherapy, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany

2 Department of Psychiatry, Psychotherapy and Psychosomatics, Alexianer St. Joseph-Krankenhaus Berlin-Weißensee, Berlin, Germany

Corresponding Author:

  • Lea Maria Schäfer, BA, BSc, MSc
  • Department of Psychiatry and Psychotherapy
  • Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin
  • Charitéplatz 1
  • Berlin 10117
  • Germany
  • Phone: +49 17645760761
  • Email: lea.schaefer@charite.de