ArticleProceedings of the ... ACM International Conference on Multimodal Interaction. ICMI (Conference)2020
Multimodal Automatic Coding of Client Behavior in Motivational Interviewing.
Article in Proceedings of the ... ACM International Conference on Multimodal Interaction. ICMI (Conference), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Natural language processing for mental health interventions: a systematic review and research framework.Translational psychiatry · 2023Pooled it
- Scoping review on natural language processing applications in counselling and psychotherapy.British journal of psychology (London, England : 1953) · 2026Article
- An Automated Quality Evaluation Framework of Psychotherapy Conversations with Local Quality Estimates.Computer speech & language · 2022Article
- Analysis of Behavior Classification in Motivational Interviewing.Proceedings of the conference. Association for Computational Linguistics. North American Chapter. Meeting · 2021Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Motivational Interviewing (MI) is defined as a collaborative conversation style that evokes the client's own intrinsic reasons for behavioral change. In MI research, the clients' attitude (willingness or resistance) toward change as expressed through language, has been identified as an important indicator of their subsequent behavior change. Automated coding of these indicators provides systematic and efficient means for the analysis and assessment of MI therapy sessions. In this paper, we study and analyze behavioral cues in client language and speech that bear indications of the client's behavior toward change during a therapy session, using a database of dyadic motivational interviews between therapists and clients with alcohol-related problems. Deep language and voice encoders,
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Registered trials
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