Proceedings of the Annual Meeting of the Cognitive Science Society

The complexity of situations makes individuals use emotionsto make sense of their environment and interdependent oth-ers. In this paper, we build on the idea that physiological re-actions give emotional information about the subject and wefocus on Electrodermal Activity (EDA), an index of arousal,to inspect deep processes of a dyadic interaction in a mixed-motive game. Our interest lies on how conflict episodes un-fold, to design intelligent agents that are more socially awareand thus able to express and recognise dyadic forms of con-flict. A qualitative analysis of the data allowed us to identifymoments where players made choices to cope with ongoingconflict or prospects of it in the future.