Toward artificial Kansei based on Mental Image Directed Semantic Theory

Authors:
Tzu-Hsuan Huang;Kaoru Sugita;Masao Yokota
Affiliations:
Fukuoka Institute of Technology, Fukuoka, Japan 811-0295;Fukuoka Institute of Technology, Fukuoka, Japan 811-0295;Fukuoka Institute of Technology, Fukuoka, Japan 811-0295
Venue:
Artificial Life and Robotics
Year:
2012

Citing 3
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Abstract

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.