We are interested in the problem of conversational analysis and its application to the health domain. Cognitive Behavioral Therapy is a structured approach in psychotherapy, allowing the therapist to help the patient to identify and modify the malicious thoughts, behavior, or actions. This cooperative effort can be evaluated using the Working Alliance Inventory Observer-rated Shortened – a 12 items inventory covering task, goal, and relationship – which has a relevant influence on therapeutic outcomes. In this work, we investigate the relation between this alliance inventory and the spoken conversations (sessions) between the patient and the psychotherapist. We have delivered eight weeks of e-therapy, collected their audio and video call sessions, and manually transcribed them. The spoken conversations have been annotated and evaluated with WAI ratings by professional therapists. We have investigated speech and language features and their association with WAI items. The feature types include turn dynamics, lexical entrainment, and conversational descriptors extracted from the speech and language signals. Our findings provide strong evidence that a subset of these features are strong indicators of working alliance. To the best of our knowledge, this is the first and a novel study to exploit speech and language for characterising working alliance

What can Speech and Language Tell us About the Working Alliance in Psychotherapy / Peter Bayer, Sebastian; Roccabruna, Gabriel; Chowdhury, Shammur Absar; Ciulli, Tommaso; Danieli, Morena; Riedhammer, Korbinian; Riccardi, Giuseppe. - (2022), pp. 2443-2447. (Intervento presentato al convegno Interspeech 2022 tenutosi a Incheon, Korea nel 18th September-22nd September 2022) [10.21437/Interspeech.2022-347].

What can Speech and Language Tell us About the Working Alliance in Psychotherapy

Gabriel Roccabruna;Shammur Absar Chowdhury;Tommaso Ciulli;Morena Danieli;Giuseppe Riccardi
2022-01-01

Abstract

We are interested in the problem of conversational analysis and its application to the health domain. Cognitive Behavioral Therapy is a structured approach in psychotherapy, allowing the therapist to help the patient to identify and modify the malicious thoughts, behavior, or actions. This cooperative effort can be evaluated using the Working Alliance Inventory Observer-rated Shortened – a 12 items inventory covering task, goal, and relationship – which has a relevant influence on therapeutic outcomes. In this work, we investigate the relation between this alliance inventory and the spoken conversations (sessions) between the patient and the psychotherapist. We have delivered eight weeks of e-therapy, collected their audio and video call sessions, and manually transcribed them. The spoken conversations have been annotated and evaluated with WAI ratings by professional therapists. We have investigated speech and language features and their association with WAI items. The feature types include turn dynamics, lexical entrainment, and conversational descriptors extracted from the speech and language signals. Our findings provide strong evidence that a subset of these features are strong indicators of working alliance. To the best of our knowledge, this is the first and a novel study to exploit speech and language for characterising working alliance
2022
Proceedings Interspeech 2022
BAIXAS, FRANCE
International Speech Communication Association
Peter Bayer, Sebastian; Roccabruna, Gabriel; Chowdhury, Shammur Absar; Ciulli, Tommaso; Danieli, Morena; Riedhammer, Korbinian; Riccardi, Giuseppe
What can Speech and Language Tell us About the Working Alliance in Psychotherapy / Peter Bayer, Sebastian; Roccabruna, Gabriel; Chowdhury, Shammur Absar; Ciulli, Tommaso; Danieli, Morena; Riedhammer, Korbinian; Riccardi, Giuseppe. - (2022), pp. 2443-2447. (Intervento presentato al convegno Interspeech 2022 tenutosi a Incheon, Korea nel 18th September-22nd September 2022) [10.21437/Interspeech.2022-347].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/364905
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