Maho Hotogi
Department of Computer and Science, Keio University, Yokohama, Japan
Masafumi Hagiwara
Department of Computer and Science, Keio University, Yokohama, Japan
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Published in: KEER2014. Proceedings of the 5th Kanesi Engineering and Emotion Research; International Conference; Linköping; Sweden; June 11-13
Linköping Electronic Conference Proceedings 100:78, p. 927-939
Published: 2014-06-11
ISBN: 978-91-7519-276-5
ISSN: 1650-3686 (print), 1650-3740 (online)
In this paper; first; analyses of local community mascot characters are carried out to obtain knowledge to be the popular ones. Next a mascot characters automatic creation system is proposed using these findings. As for the analyses; we used 200 (top 100 and low 100) local community mascot characters selected from 2;258 characters. Many interesting findings could be obtained such that short limbs or dark-round eyes tend to contribute to be popular as a mascot character . The proposed system utilizing these findings can create a mascot character reflecting a user’s image inputted by Kansei-words. Many parts having degrees of Kansei images are prepared in the proposed system and are combined to form a character using Rough Sets Theory and an Interactive Genetic Algorithm framework. We performed evaluation experiments. Many mascot characters satisfying user’s image were created and remarkable results were obtained through subjective evaluations. For example; by using the extracted rules from the analyses and Interactive Genetic Algorithm; the proposed system can create much favorable mascot characters. Moreover; we found some interesting tendencies of the color used to paint characters. One of them is that the cheerful characters are often painted in warm colors with high saturation.
Local mascot characters; automatic creation; Interactive Genetic Algorithm; Rough Sets Theory
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