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

Peeraya Sripian, Kejkaew Thanasuan, Keiko Miyatake, Michiko Ohkura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationAdvances in Affective and Pleasurable Design - Proceedings of the AHFE 2019 International Conference on Affective and Pleasurable Design
EditorsShuichi Fukuda
PublisherSpringer Verlag
Pages224-231
Number of pages8
ISBN (Print)9783030204402
DOIs
Publication statusPublished - 2020
EventAHFE International Conference on Affective and Pleasurable Design, 2019 - Washington D.C., United States
Duration: 2019 Jul 242019 Jul 28

Publication series

NameAdvances in Intelligent Systems and Computing
Volume952
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceAHFE International Conference on Affective and Pleasurable Design, 2019
Country/TerritoryUnited States
CityWashington D.C.
Period19/7/2419/7/28

Keywords

  • Colorfulness metric
  • Feature analysis
  • Feature extraction
  • Harajuku kawaii
  • Kawaii

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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