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

Innovations in Mental Health Systems (484) Artificial Intelligence (2122) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (87) Chatbots and Conversational Agents (740) AI-Powered Therapy Bots and Virtual Companions in Digital Mental Health (26)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69709, first published .
A Comparison of Responses from Human Therapists and Large Language Model–Based Chatbots to Assess Therapeutic Communication: Mixed Methods Study

A Comparison of Responses from Human Therapists and Large Language Model–Based Chatbots to Assess Therapeutic Communication: Mixed Methods Study

A Comparison of Responses from Human Therapists and Large Language Model–Based Chatbots to Assess Therapeutic Communication: Mixed Methods Study

Authors of this article:

Till Scholich1 Author Orcid Image ;   Maya Barr2 Author Orcid Image ;   Shannon Wiltsey Stirman3, 4 Author Orcid Image ;   Shriti Raj1, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Till Scholich   1 , MS ;   Maya Barr   2 , BA ;   Shannon Wiltsey Stirman   3, 4 , PhD ;   Shriti Raj   1, 5 , PhD

1 Institute for Human-Centered AI, Stanford University, Stanford, CA, United States

2 PGSP-Stanford PsyD Consortium, Palo Alto University, Palo Alto, CA, United States

3 Dissemination and Training Division, National Center for PTSD, Menlo Park, CA, United States

4 Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States

5 Department of Medicine Center for Biomedical Informatics Research, Stanford University, Stanford, CA, United States

Corresponding Author:

  • Till Scholich, MS
  • Institute for Human-Centered AI
  • Stanford University
  • 353 Jane Stanford Way
  • Stanford, CA 94305
  • United States
  • Phone: 1 650-723-2300
  • Email: tills@umich.edu