Detecting shared physiological arousal events in collaborative problem solving

Collaborative problem solving (CPS) is a cyclical process in which team members go back and forth between various cognitive affective phases as they interact with the state each other. An increasing amount of research has been conducted to explore how sequential relationships CPS affect performance outcomes. However, detecting mainly relies on labor-intensive methods, such video coding all interactions during problem-solving process. Furthermore, it challenging understand level sharedness or togetherness among when through specific phase. Consequently, this study aimed investigate shared physiological arousal events (SPAE) CPS. We developed implemented new method for SPAEs by utilizing skin conductance response data. Our findings showed that SPAE can be promising socio-emotional are demonstrated members. Process-mining analysis revealed different pathways successful less teams both terms variables address SPAEs. The current contributes timely agenda collaborative learning fields developing multimodal methods unearth complex interaction processes collaboration.