ArticlePsychotherapy (Chicago, Ill.)2019
Design feasibility of an automated, machine-learning based feedback system for motivational interviewing.
Article in Psychotherapy (Chicago, Ill.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 93 citations in OpenAlex.
- Process and Implementation Elements of Measurement Feedback Systems: A Systematic Review.Administration and policy in mental health · 2025Pooled it
- Motivational interviewing quality assurance: A systematic review of assessment tools across research contexts.Clinical psychology review · 2020Pooled it
- The effect of AI-enabled virtual patient simulation on training outcomes and insecurities in psychotherapy education.BMC medical education · 2026Trial
- Treatment outcomes for military-affiliated clients with posttraumatic stress disorder in a community mental health network.Journal of traumatic stress · 2026Article
- Characterizing Fidelity Monitoring Practices in Community Behavioral Health Care.The journal of behavioral health services & research · 2026Article
- The effectiveness of digital interventions for enhancing empathy in adults: a meta-analysis of randomized controlled trials.Current psychology (New Brunswick, N.J.) · 2026Article
- Evaluation of an AI-Based Chatbot Providing Real-Time Feedback in Communication Training for Mental Health Care Professionals: Proof-of-Concept Observational Study.Journal of medical Internet research · 2025Observational
- Preprocessing Large-Scale Conversational Datasets: A Framework and Its Application to Behavioral Health Transcripts.JMIR formative research · 2025Article
- Behavioral Nudges to Enhance Fidelity in Telehealth Sessions (BENEFITS): Protocol for Developing and Pilot Testing a Telehealth Tool to Improve Cognitive Behavioral Therapy Implementation.JMIR research protocols · 2025Article
- Investigating psychotherapists' attitudes towards artificial intelligence in psychotherapy.BMC psychology · 2025Article
- Primary Care Training and Education in Addiction Medicine Fellowship: expanding the addiction medicine workforce.BMC medical education · 2025Article
- Mental health practitioners' perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study.BMC health services research · 2025Article
- Development and validation of a cognitive behavioral therapy for psychosis online training with automated feedback.Psychotherapy (Chicago, Ill.) · 2025Article
- Employing large language models for emotion detection in psychotherapy transcripts.Frontiers in psychiatry · 2025Article
- Beyond Detection: Towards Actionable Sensing Research in Clinical Mental Healthcare.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2024Article
- Developing an Implementation Model for ADHD Intervention in Community Clinics: Leveraging Artificial Intelligence and Digital Technology.Cognitive and behavioral practice · 2024Article
- Developing Therapists' Multicultural Orientation Using Web-Based Deliberate Practice: An Initial Feasibility, Usability, and Acceptability Study.Professional psychology, research and practice · 2024Article
- Harnessing Innovative Technologies to Train Nurses in Suicide Safety Planning With Hospital Patients: Formative Acceptability Evaluation of an eLearning Continuing Education Training.JMIR formative research · 2024Article
- Automated Behavioral Coding to Enhance the Effectiveness of Motivational Interviewing in a Chat-Based Suicide Prevention Helpline: Secondary Analysis of a Clinical Trial.Journal of medical Internet research · 2024Article
- Application of machine learning approach on halal meat authentication principle, challenges, and prospects: A review.Heliyon · 2024Review
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
Direct observation of psychotherapy and providing performance-based feedback is the gold-standard approach for training psychotherapists. At present, this requires experts and training human coding teams, which is slow, expensive, and labor intensive. Machine learning and speech signal processing technologies provide a way to scale up feedback in psychotherapy. We evaluated an initial proof of concept automated feedback system that generates motivational interviewing quality metrics and provides easy access to other session data (e.g., transcripts). The system automatically provides a report of session-level metrics (e.g., therapist empathy) and therapist behavior codes at the talk-turn level (e.g., reflections). We assessed usability, therapist satisfaction, perceived accuracy, and intentions to adopt. A sample of 21 novice (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.