Arousal-Based Sympathy Expression Model for Educational Support Robot

Abstract

In this paper, we propose an arousal-based sympathy expression model for educational support robots which provide learner-robot one-to-one learning to empathize with the learner. In the conventional sympathy expression model, when the learner gives a correct (or incorrect) answer continuously, the same emotion is repeatedly expressed, that is the emotion expression becomes uniform. In the proposed model, various emotions are expressed by giving priority to arousal in emotion selection. In the experiment, we compare a robot that expresses emotions at random, a robot with the conventional model, and a robot with the proposed model.