Automated classification of conversation valence and arousal using autonomic nervous system responses
Vesna D. Novak
IntroductionThe quality of dyadic cooperation or conversation can be predicted from the interacting individuals’ physiological responses, and several studies have combined physiological responses with machine learning algorithms to classify conversation states. However, most of these studies have focused on either a single physiological response or two-class classification. In this study, we used multiple autonomic nervous system responses and pattern recognition algorithms to automatically clas