Emotional gaze behavior generation in human-agent interaction

Authors:
Xia Mao;Zheng Li;Yuli Xue
Affiliations:
Beihang University, Beijing, China;Beihang University, Beijing, China;Beihang University, Beijing, China
Venue:
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Year:
2009

Citing 4
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Abstract

Gaze behavior plays an important role in face to face communication in that it conveys nonverbal information and emotional intent beyond speech. This research proposes a computational framework for generating emotional gaze behavior in a virtual agent, concentrating on analysis and synthesis of primary and intermediate emotions through gaze behavior. We utilize parameters picked from the AU-Coded facial expression database and real-time eye movement data (pupil size, blink rate and saccade) to model primary emotions and describe a rule-based approach to generate intermediate ones.