Paper Overview
Field: AI Authors: Xiaoshan Huang, Conrad Borchers, Jiayi Zhang, Susanne P. Lajoie Published: 2026-03-31 arXiv: 2603.11114
Summary
Effective collaboration requires teams to manage complex cognitive and emotional states through Socially Shared Regulation of Learning (SSRL). Physiological synchrony (i.e., longitudinal alignment in physiological signals) can indicate these states, but is hard to interpret on its own. The authors investigate the physiological and conversational dynamics of four medical dyads diagnosing a virtual patient case using an intelligent tutoring system.
Key findings
- Semantic shifts in dialogue were correlated with transient physiological synchrony peaks.
- Utterance segments were coded for SSRL, and cosine similarity was derived using sentence embeddings.
- Activating prior knowledge featured significantly lower semantic similarity than simpler task execution.
- High physiological synchrony was associated with lower semantic similarity, indicating that these moments involved exploratory and diverse language use.
- Qualitative analysis triangulated the synchrony peaks as "critical moments": successful teams synchronized during shared discoveries, while unsuccessful teams peaked during shared uncertainty.
Original Abstract (excerpt)
Effective collaboration requires teams to manage complex cognitive and emotional states through Socially Shared Regulation of Learning (SSRL). Physiological synchrony (i.e., longitudinal alignment in physiological signals) can indicate these states, but is hard to interpret on its own...
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