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Visualization of Patterns and Impressions in YOSAKOI Costumes

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HCI International 2021 - Late Breaking Posters (HCII 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1499))

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Abstract

YOSAKOI is a very famous festival held in Sapporo, Hokkaido. Since the costume used in the YOSAKOI require originality of expression, each time’s costume is different from the others. So, the dancers themselves are often involved in the production of costumes for their team. However, it is not easy to share vague costume patterns when the dancers determine patterns and create costumes with other dancers. And the determining pattern takes a lot of time also. Therefore, in this study, we focused on the costume patterns used in YOSAKOI and conducted experiments to visualize the relationship between patterns and impressions. We performed the SD method and Factor analysis using 12 types of paired adjectives in the experiment, with ten patterns as impression evaluation stimuli. As a result of Factor analysis, we could extract the following three factors: “Luxury feeling,” “Powerful feeling,” and “Casual feeling.” We could also visualize the ten patterns based on the average of the factor scores and the significant difference of each pattern, the impressions of patterns. This visualized information becomes a standard to understand each costume pattern. This standard helps the dancers understand the various costume patterns and sympathy with others to determine a final costume pattern for the YOSAKOI festival on the co-creation process.

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References

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Correspondence to Yuka Takahashi .

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Takahashi, Y., Kang, N. (2021). Visualization of Patterns and Impressions in YOSAKOI Costumes. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2021 - Late Breaking Posters. HCII 2021. Communications in Computer and Information Science, vol 1499. Springer, Cham. https://doi.org/10.1007/978-3-030-90179-0_44

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  • DOI: https://doi.org/10.1007/978-3-030-90179-0_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90178-3

  • Online ISBN: 978-3-030-90179-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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