Emotion recognition by ANS responses evoked by negative emotion

Emotion recognition is one of the core processes to implement emotional intelligence in human-computer interaction (HCI) research. The purpose of present study was to investigate emotion-specific ANS responses and used classification algorithm to test recognizing rate when negative emotion such as fear, surprise, and stress was evoked. The results of one-way ANOVA toward each parameter, there were significant differences in SCR, SKT, and HR HF related to HF. LDA was tested to confirm classification rate on three emotions. In consequence, 57.3% of originally grouped cases were correctly classified. The result of this study is the basis for the emotion recognition technique in HCI as well as contributes to the standardization in emotion-specific ANS responses.