Measuring Linguistic Synchrony in Psychotherapy

Natalie Shapira, Dana Atzil-Slonim, Rivka Tuval Mashiach, Ori Shapira


Abstract
We study the phenomenon of linguistic synchrony between clients and therapists in a psychotherapy process. Linguistic Synchrony (LS) can be viewed as any observed interdependence or association between more than one person?s linguistic behavior. Accordingly, we establish LS as a methodological task. We suggest a LS function that applies a linguistic similarity measure based on the Jensen-Shannon distance across the observed part-of-speech tag distributions (JSDuPos) of the speakers in different time frames. We perform a study over a unique corpus of 872 transcribed sessions, covering 68 clients and 59 therapists. After establishing the presence of client-therapist LS, we verify its association with therapeutic alliance and treatment outcome (measured using WAI and ORS), and additionally analyse the behavior of JSDuPos throughout treatment. Results indicate that (1) higher linguistic similarity at the session level associates with higher therapeutic alliance as reported by the client and therapist at the end of the session, (2) higher linguistic similarity at the session level associates with higher level of treatment outcome as reported by the client at the beginnings of the next sessions, (3) there is a significant linear increase in linguistic similarity throughout treatment, (4) surprisingly, higher LS associates with lower treatment outcome. Finally, we demonstrate how the LS function can be used to interpret and explore the mechanism for synchrony.
Anthology ID:
2022.clpsych-1.14
Volume:
Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology
Month:
July
Year:
2022
Address:
Seattle, USA
Editors:
Ayah Zirikly, Dana Atzil-Slonim, Maria Liakata, Steven Bedrick, Bart Desmet, Molly Ireland, Andrew Lee, Sean MacAvaney, Matthew Purver, Rebecca Resnik, Andrew Yates
Venue:
CLPsych
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
158–176
Language:
URL:
https://aclanthology.org/2022.clpsych-1.14
DOI:
10.18653/v1/2022.clpsych-1.14
Bibkey:
Cite (ACL):
Natalie Shapira, Dana Atzil-Slonim, Rivka Tuval Mashiach, and Ori Shapira. 2022. Measuring Linguistic Synchrony in Psychotherapy. In Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology, pages 158–176, Seattle, USA. Association for Computational Linguistics.
Cite (Informal):
Measuring Linguistic Synchrony in Psychotherapy (Shapira et al., CLPsych 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.clpsych-1.14.pdf
Appendix:
 2022.clpsych-1.14.appendix.pdf