Abstract
This paper proposes a technique to generate emotion state of surprise and to generate motions to express this emotion for robots. Surprise emotion is known to have unique characteristics compared to other emotions such as anger and grief. It is often caused by discrepancies between prediction and actual event and is also an instant emotion. A conceptual structure of a surprise generator to generate emotion state of surprise for robots is developed based on these human surprise characteristics. The generator contains a predictor that is used to fined discrepancies between the real events and expectations. © 2011 Springer-Verlag.
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CITATION STYLE
Zenkoyoh, M., & Tomiyama, K. (2011). Surprise generator for virtual KANSEI based on human surprise characteristics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6771 LNCS, pp. 190–198). https://doi.org/10.1007/978-3-642-21793-7_23
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