Dynamic harmony: Unveiling therapeutic attunement in emotionally focused couples therapy via machine learning

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dc.authorid0000-0003-3507-1290
dc.authorid0000-0001-7683-240X
dc.authorid0009-0004-6314-9627
dc.contributor.authorBaser, Gokcenay
dc.contributor.authorBaser, Oguzhan
dc.contributor.authorKafescioglu, Nilufer
dc.contributor.authorErdem, Gizem
dc.date.accessioned2026-04-04T18:55:52Z
dc.date.available2026-04-04T18:55:52Z
dc.date.issued2025
dc.departmentİstanbul Bilgi Üniversitesi
dc.description.abstractObjectiveThe goals of the study were to examine therapists' and clients' emotional states and expressions in an emotionally focused therapy (EFT) couple session, to assess therapeutic attunement between the clients and the therapist, and to explore its alignment with EFT techniques.BackgroundTherapeutic attunement is crucial for fostering a therapeutic alliance in couples therapy, yet examining triadic relationships between therapist and partners is methodologically challenging. This case study introduces a novel computational social science approach to capture attunement in an EFT session.MethodA full-length, publicly available EFT session video was analyzed. We generated text, audio, and image data for computerized tracking and conducted a multimodal analysis of emotions using mixture of experts machine learning models.ResultsSeven emotion states were analyzed: anger, fear, surprise, disgust, joy, sadness, and neutral. The results indicated a close alignment between the couple and the therapist's emotions, suggesting high attunement. Three types of attunement by timing were identified: on time, therapist initiated, and delayed. Attunement peaks aligned with EFT techniques.ConclusionHigh levels of therapeutic attunement, facilitated by EFT techniques, can be effectively captured and analyzed using machine learning.ImplicationsThis study highlights the feasibility of using machine learning to track attunement dynamics and aids therapists in exploring therapeutic ruptures.
dc.identifier.doi10.1111/fare.13140
dc.identifier.doi10.1111/fare.13140
dc.identifier.endpage1340
dc.identifier.issn0197-6664
dc.identifier.issn1741-3729
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85216488754
dc.identifier.scopusqualityQ1
dc.identifier.startpage1323
dc.identifier.urihttps://doi.org/10.1111/fare.13140
dc.identifier.urihttps://hdl.handle.net/11411/10598
dc.identifier.volume74
dc.identifier.wosWOS:001403211800001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofFamily Relations
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260402
dc.snmzKA_Scopus_20260402
dc.subjectAttunement
dc.subjectCouples Therapy
dc.subjectEmotionally Focused Therapy
dc.subjectMachine Learning
dc.subjectThe Mixture Of Expert Models
dc.titleDynamic harmony: Unveiling therapeutic attunement in emotionally focused couples therapy via machine learning
dc.typeArticle

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