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LREC-COLING 2024main

Beyond Words: Decoding Facial Expression Dynamics in Motivational Interviewing

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

DOI:10.63317/5fcejemhn5jv

Abstract

Authors : Nezih Younsi, Catherine Pelachaud, Laurence Chaby Title : Beyond Words: Decoding Facial Expression Dynamics in Motivational Interviewing Abstract : This paper focuses on studying the facial expressions of both client and therapist in the context of Motivational Interviewing (MI). The annotation system Motivational Interview Skill Code MISC defines three types of talk, namely sustain, change, and neutral for the client and information, question, or reflection for the therapist. Most studies on MI look at the verbal modality. Our research aims to understand the variation and dynamics of facial expressions of both interlocutors over a counseling session. We apply a sequence mining algorithm to identify categories of facial expressions for each type. Using co-occurrence analysis, we derive the correlation between the facial expressions and the different types of talk, as well as the interplay between interlocutors’ expressions.

Details

Paper ID
lrec2024-main-0211
Pages
pp. 2365-2374
BibKey
younsi-etal-2024-beyond
Editor
N/A
Publisher
European Language Resources Association (ELRA) and ICCL
ISSN
2522-2686
ISBN
979-10-95546-34-4
Conference
Joint International Conference on Computational Linguistics, Language Resources and Evaluation
Location
Turin, Italy
Date
20 May 2024 25 May 2024

Authors

  • NY

    Nezih Younsi

  • CP

    Catherine Pelachaud

  • LC

    Laurence Chaby

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