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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.5
- 수록면
- 17 - 28 (12page)
- DOI
- 10.17289/jkscs.33.2.201905.17
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초록· 키워드
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This study investigated fashion color trends predicted by trend forecasting agencies from the 2009 S/S season to the 2018 F/W season and the structure of color networks. In this study, the fashion trend forecasting companies that were used to build a database were as follows: Intercolor, Promostyl, Première Vision, Pantone, FaDI, Samsung Design Net, and Firstview Korea. The 5,820 forecasted fashion trend colors from the 2009 S/S season to the 2018 F/W season were collected and analyzed in Munsell’s basic 10 hues and PCCS’s 12 tones. To digitize and visually represent the relationships between the forecasted fashion trend colors, network analysis, including frequency analysis, density analysis, degree, and degree centrality, was performed using Netminer 4.0. The conclusions are as follows: First, a comparative analysis of hues was conducted on the forecasted fashion trend colors’ characteristics, which showed that the YR, R, Y, and PB hues were commonly forecasted. Second, the analysis of the seasonal hue usage ratio revealed that b, lt, and p were forecasted mostly during the S/S season, while ltg, g, d, dk, and dkg were commonly forecasted during the F/W season. Third, degree centrality analysis results showed that W was utilized the most in the S/S season and appeared regularly every two or three years. This method was used to quantitatively analyze fashion color trends and identify the relationships between colors. The results are expected to contribute to the development of color patterns required to automatically forecast color trends by utilizing extended color data.
목차
Abstract
1. Introduction
2. Research Method
3. Characteristics of Seasonal Fashion Trend Color
4. Conclusion and Proposal
References
참고문헌 (18)
참고문헌 신청
An, H. (2017). A Study on the Sentiment Analysis in Fashion Design using Big Data : Focused on Text Mining and Semantic Network Analysis. Unpublished Doctoral Dissertation. Ewha Womans University, Seoul.
Hahn, S. W. (2003). Systematization of Fashion Trend Information Planning Process and Development of a Prototype tool : Based on the analysis of color and form from flower. Unpublished Doctoral Dissertation. Yonsei University, Seoul.
Khalid, H. M. & Helander, M. G. (2006). Customer Emotional Needs in Product Design. Concurrent Engineering, 14(3), 197-206.
Kim, H. K. (2003). The Analysis of the Influential Factors on Megatrends and Design Trend -Focused on Fashion Design and Design Colors in the Late 20th Century. Unpublished Master Thesis. Yonsei University, Seoul.
Kim, S. (2017). A Study on Changes in Fashion Design Concepts Using Social Network Analysis. Unpublished Doctoral Dissertation. Chung-Ang University, Seoul.
Hahn, S. W. (2003). Systematization of Fashion Trend Information Planning Process and Development of a Prototype tool : Based on the analysis of color and form from flower. Unpublished Doctoral Dissertation. Yonsei University, Seoul.
Khalid, H. M. & Helander, M. G. (2006). Customer Emotional Needs in Product Design. Concurrent Engineering, 14(3), 197-206.
Kim, H. K. (2003). The Analysis of the Influential Factors on Megatrends and Design Trend -Focused on Fashion Design and Design Colors in the Late 20th Century. Unpublished Master Thesis. Yonsei University, Seoul.
Kim, S. (2017). A Study on Changes in Fashion Design Concepts Using Social Network Analysis. Unpublished Doctoral Dissertation. Chung-Ang University, Seoul.
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