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A STUDY ON THE EMOTION ELICITING ALGORITHM AND FACIAL EXPRESSION FOR DESIGNING INTELLIGENT ROBOTS

The goal of the present study is to identify a means of enhancing the perceived humanness of a robot. The ongoing struggle to increase the humanness of robots has been an area of debate in the robot design field. However, given that robots will see use as products that must perform social tasks, there will inevitably be need to stimulate the emotions of users on occasion. Anthropomorphic form and action can facilitate more ready acceptance of the robot by users. As the most effective means of communicating with a human user is face to face communication, the face of the robot plays a major role in human-robot interactions. Former related research focusing on computer software agents also verified the importance of facial expression in human-computer interaction. The element has influence upon the humanness of a robot is not just a realistic reproduction of human-like facial feature shapes, but a natural reproduction of the kinetic process in facial expression. In the present study, for experimental design purposes, we assumed that the robot has five representative emotions. These are taken from six archetypal emotions in psychological theory and a 'neutral' emotion is added. To express these emotions, the robot should make visible changes in its facial features. We conduct experiments to find relations among the time required for transformation of facial features, the degree of external stimuli, and other elements. The findings of the experiments provide information on how various elements of facial expression affect the perception of humanness in the robot. Finally, we designed an emotion eliciting system for robots based on the human emotion system results from