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dc.contributor.authorVail, Alexandria K.
dc.contributor.authorGirard, Jeffrey
dc.contributor.authorBylsma, Lauren
dc.contributor.authorCohn, Jeffrey
dc.contributor.authorFournier, Jay
dc.contributor.authorSwartz, Holly
dc.contributor.authorMorency, Louis-Philippe
dc.date.accessioned2022-08-12T20:07:13Z
dc.date.available2022-08-12T20:07:13Z
dc.date.issued2021-01-12
dc.identifier.citationVail, A. K., Girard, J., Bylsma, L., Cohn, J., Fournier, J., Swartz, H., & Morency, L. P. (2021). Goals, Tasks, and Bonds: Toward the Computational Assessment of Therapist Versus Client Perception of Working Alliance. Proceedings of the ... International Conference on Automatic Face and Gesture Recognition. IEEE International Conference on Automatic Face & Gesture Recognition, 2021, 10.1109/fg52635.2021.9667021. https://doi.org/10.1109/fg52635.2021.9667021en_US
dc.identifier.urihttp://hdl.handle.net/1808/33180
dc.description.abstractEarly client dropout is one of the most significant challenges facing psychotherapy: recent studies suggest that at least one in five clients will leave treatment prematurely. Clients may terminate therapy for various reasons, but one of the most common causes is the lack of a strong working alliance. The concept of working alliance captures the collaborative relationship between a client and their therapist when working toward the progress and recovery of the client seeking treatment. Unfortunately, clients are often unwilling to directly express dissatisfaction in care until they have already decided to terminate therapy. On the other side, therapists may miss subtle signs of client discontent during treatment before it is too late. In this work, we demonstrate that nonverbal behavior analysis may aid in bridging this gap. The present study focuses primarily on the head gestures of both the client and therapist, contextualized within conversational turn-taking actions between the pair during psychotherapy sessions. We identify multiple behavior patterns suggestive of an individual’s perspective on the working alliance; interestingly, these patterns also differ between the client and the therapist. These patterns inform the development of predictive models for self-reported ratings of working alliance, which demonstrate significant predictive power for both client and therapist ratings. Future applications of such models may stimulate preemptive intervention to strengthen a weak working alliance, whether explicitly attempting to repair the existing alliance or establishing a more suitable client-therapist pairing, to ensure that clients encounter fewer barriers to receiving the treatment they need.en_US
dc.publisherIEEEen_US
dc.rightsCopyright © 2021, IEEEen_US
dc.subjectFace recognitionen_US
dc.subjectSociologyen_US
dc.subjectMedical treatmenten_US
dc.subjectCollaborationen_US
dc.subjectGesture recognitionen_US
dc.subjectPredictive modelsen_US
dc.subjectMaintenance engineeringen_US
dc.titleGoals, Tasks, and Bonds: Toward the Computational Assessment of Therapist Versus Client Perception of Working Allianceen_US
dc.typeArticleen_US
kusw.kuauthorGirard, Jeffrey
kusw.kudepartmentPsychologyen_US
dc.identifier.doi10.1109/fg52635.2021.9667021en_US
kusw.oaversionScholarly/refereed, author accepted manuscripten_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.identifier.pmidPMC9355426
dc.rights.accessrightsopenAccessen_US


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