Toward artificial Kansei based on Mental Image Directed Semantic Theory

摘要

The authors have proposed a human mind model of consisting of stimulus, knowledge, emotion and response processing agents and simulated human-robot communication based on it. This paper proposes 'Artificial Kansei (AK)', namely, Kansei for a robot as tight collaboration of knowledge and emotion processing agents of our mind model, and considers its application to a Kansei information system for Buddhism statues made to order.