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Toward artificial Kansei based on Mental Image Directed Semantic Theory

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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.

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References

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Authors and Affiliations

Authors

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Correspondence to Masao Yokota.

Additional information

This work was presented in part at the 17th International Symposium on Artificial Life and Robotics, Oita, Japan, January 19–21, 2012.

Appendix

Appendix

See Table 2.

Table 2 Examples of standards

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Huang, TH., Sugita, K. & Yokota, M. Toward artificial Kansei based on Mental Image Directed Semantic Theory. Artif Life Robotics 17, 186–190 (2012). https://doi.org/10.1007/s10015-012-0036-2

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  • DOI: https://doi.org/10.1007/s10015-012-0036-2

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