The Analysis of Kawaii Fashion in Thailand and Japan Using Colorfulness Metrics

Sripian Peeraya, Kejkaew Thanasuan, Keiko Miyatake, Michiko Ohkura

研究成果: Conference contribution

抄録

In this work, we compared the styles of clothing observed from Japanese fashion and Thai fashion using colorfulness metric. To represent each country’s Kawaii fashion, we collected data based on each country’s subculture. For Thai fashion, we collected more than 600 fashion snaps from an Instagram account that sell clothes and accessories and were considered as influential accounts, each with more than 10,000 followers. For defining Japan’s subculture, we used the popular Harajuku Kawaii fashion style and the street snaps taken from Shibuya and Harajuku area. An experienced Japanese fashion researcher selected Japanese fashion images from a famous fashion styling website and individual influencer’s Instagram account. We found that there was a significant difference in colorfulness metric between Thailand and Japan. This finding indicated the color of fashion styles of both countries are different, which leads to a color preference of kawaii patterns in each culture.

元の言語English
ホスト出版物のタイトルAdvances in Affective and Pleasurable Design - Proceedings of the AHFE 2019 International Conference on Affective and Pleasurable Design
編集者Shuichi Fukuda
出版者Springer Verlag
ページ224-231
ページ数8
ISBN(印刷物)9783030204402
DOI
出版物ステータスPublished - 2020 1 1
イベントAHFE International Conference on Affective and Pleasurable Design, 2019 - Washington D.C., United States
継続期間: 2019 7 242019 7 28

出版物シリーズ

名前Advances in Intelligent Systems and Computing
952
ISSN(印刷物)2194-5357

Conference

ConferenceAHFE International Conference on Affective and Pleasurable Design, 2019
United States
Washington D.C.
期間19/7/2419/7/28

Fingerprint

Color
Accessories
Websites

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

これを引用

Peeraya, S., Thanasuan, K., Miyatake, K., & Ohkura, M. (2020). The Analysis of Kawaii Fashion in Thailand and Japan Using Colorfulness Metrics. : S. Fukuda (版), Advances in Affective and Pleasurable Design - Proceedings of the AHFE 2019 International Conference on Affective and Pleasurable Design (pp. 224-231). (Advances in Intelligent Systems and Computing; 巻数 952). Springer Verlag. https://doi.org/10.1007/978-3-030-20441-9_24

The Analysis of Kawaii Fashion in Thailand and Japan Using Colorfulness Metrics. / Peeraya, Sripian; Thanasuan, Kejkaew; Miyatake, Keiko; Ohkura, Michiko.

Advances in Affective and Pleasurable Design - Proceedings of the AHFE 2019 International Conference on Affective and Pleasurable Design. 版 / Shuichi Fukuda. Springer Verlag, 2020. p. 224-231 (Advances in Intelligent Systems and Computing; 巻 952).

研究成果: Conference contribution

Peeraya, S, Thanasuan, K, Miyatake, K & Ohkura, M 2020, The Analysis of Kawaii Fashion in Thailand and Japan Using Colorfulness Metrics. : S Fukuda (版), Advances in Affective and Pleasurable Design - Proceedings of the AHFE 2019 International Conference on Affective and Pleasurable Design. Advances in Intelligent Systems and Computing, 巻. 952, Springer Verlag, pp. 224-231, AHFE International Conference on Affective and Pleasurable Design, 2019, Washington D.C., United States, 19/7/24. https://doi.org/10.1007/978-3-030-20441-9_24
Peeraya S, Thanasuan K, Miyatake K, Ohkura M. The Analysis of Kawaii Fashion in Thailand and Japan Using Colorfulness Metrics. : Fukuda S, 編集者, Advances in Affective and Pleasurable Design - Proceedings of the AHFE 2019 International Conference on Affective and Pleasurable Design. Springer Verlag. 2020. p. 224-231. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-20441-9_24
Peeraya, Sripian ; Thanasuan, Kejkaew ; Miyatake, Keiko ; Ohkura, Michiko. / The Analysis of Kawaii Fashion in Thailand and Japan Using Colorfulness Metrics. Advances in Affective and Pleasurable Design - Proceedings of the AHFE 2019 International Conference on Affective and Pleasurable Design. 編集者 / Shuichi Fukuda. Springer Verlag, 2020. pp. 224-231 (Advances in Intelligent Systems and Computing).
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