Expression and Analysis of Emotions: Survey and Experiment

Emotions are everywhere in our daily interaction. Emotional interchanges among recipients involve coordinated verbal (linguistic) and non-verbal (paralinguistic) cues and kinesic actions (e.g. facial expression, sighs, laughter, nods, and gestures). The paper explores how speakers jointly achieve their emotion exchange and mutual emotion comprehension in conversation, by analyzing the linguistic features with the assistance of video annotation techniques by Anvil. The data analysis on a positive scenario, complimenting, is carried out by integrating a broader discourse analytical and sociolinguistic approach with a cognitive approach. An initial emotion labeling is also proposed. At the end, the paper views the potential of applying our results to the emerging emotion-oriented computing for perceiving and discerning emotions in conversation.