Modeling Linguistic (A)Synchrony: A Case Study of Therapist-Client Interaction.

Area of Science:

• Psychology
• Linguistics
• Social Sciences

Background:

• Interpersonal synchrony, the alignment of social responses, is linked to positive social outcomes.
• Language plays a crucial role in interpersonal synchrony, but research is methodologically divided.
• Existing studies on linguistic synchrony and asynchrony lack a unified approach across contexts.

Purpose of the Study:

• To introduce a complementary approach for modeling linguistic synchrony across diverse interactional contexts.
• To define and measure linguistic synchrony based on shared socio-psychological stances reflected in language.
• To apply and validate this approach using psychotherapy dialogues as a case study.

Main Methods:

• Quantifying linguistic variables within therapy sessions.
• Employing k-means cluster analysis to establish a global synchrony measure for each dyad.
• Conducting qualitative analysis on dialogue extracts to contextualize synchrony findings.

Main Results:

• Developed synchrony measures that align with the core philosophies of different therapy modalities (psychoanalysis, CBT, humanistic).
• Qualitative analysis demonstrated that linguistic synchrony and asynchrony are dynamically co-constructed within interactions.
• The approach proved effective across various therapeutic contexts and dataset sizes.

Conclusions:

• The proposed method offers a systematic and replicable tool for analyzing linguistic synchrony in purposive dialogue.
• This approach enhances research capabilities and facilitates self-reflection in psychotherapy and similar interactions.
• It provides a nuanced understanding of how linguistic alignment contributes to therapeutic alliance and outcomes.