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Investigating Perceptual Similarity of Colour Category Boundary Pairs in a Digital Environment

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    International Journal of Internet, Broadcasting and Communication 바로가기
  • 통권
    Vol.17 No.4 (2025.11)바로가기
  • 페이지
    pp.1-6
  • 저자
    Ji Young Hong
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A486457

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원문정보

초록

영어
This study analysed the characteristics of perceptual similarity judgements for colour-category boundary pairs in a digital display environment. Ten adjacent colour pairs on the Munsell hue circle were selected and a repeated-measures experiment was conducted in which participants rated, on a 7-point scale, the similarity of the right-hand stimulus relative to the left-hand stimulus. The Pearson correlation coefficient between Session 1 and Session 2 (r = .796) and the ICC (.80) indicated high repeat reliability and the paired-samples t-test also showed no significant difference. ANOVAs revealed statistically significant differences in similarity judgements across colour pairs for Session 1, Session 2, and their combined mean, supporting systematic effects of category boundaries. The regression analysis on lightness difference found no significant effect, as all colour pairs were controlled for lightness. Pairs such as Y–GY, B–PB, and GY–G consistently exhibited lower similarity scores, while P–RP and G–BG were perceived as more similar. This study provides evidence that perceptual sensitivity at colour-category boundaries exerts a systematic influence on colour perception. These results imply that boundary-based colour choices can impact user experience by unintentionally increasing or decreasing perceived similarity in digital design contexts.

목차

Abstract
1. Introduction
2. Colour categories and perceptual characteristics
3. Psychophysical experiment
4. Experimental results
5. Conclusion
References

키워드

Colour category boundary Digital display Perceptual similarity Repeated measures Visual perception

저자

  • Ji Young Hong [ Professor, Dept. of Media arts & Sciences, Kyung Min University, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    International Journal of Internet, Broadcasting and Communication
  • 간기
    계간
  • pISSN
    2288-4920
  • eISSN
    2288-4939
  • 수록기간
    2009~2025
  • 십진분류
    KDC 326 DDC 380

이 권호 내 다른 논문 / International Journal of Internet, Broadcasting and Communication Vol.17 No.4

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