Investigating Mutual Gaze
نویسندگان
چکیده
The role of gaze in interaction has been an area of increasing interest to the field of human-robot interaction. Mutual gaze, the pattern of behavior that arises when humans look directly at each other’s faces, sends important social cues and is a developmental precursor in humans to joint attention and language learning. In preparation for learning a computational model of mutual gaze, data from human-human pairs in a conversational task was collected using a gaze-tracking system and face detection algorithm. The results presented show the potential of this automated method. Future applications for interaction-based robot language learning are discussed.
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تاریخ انتشار 2010