지원사업
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
- 2023.2
- 수록면
- 7 - 19 (13page)
- DOI
- 10.15187/adr.2023.02.36.1.7
이용수
초록· 키워드
오류제보하기
Background Choice of color, material, and finishing (CMF) has been essential for styling and product design. Empirical studies showed interaction effects of the three ranges and revealed that particular CMF combinations are relevant than a choice of optimal color, material, and finishing independently. We choose a chair for the target product as a preliminary approach to observe color and material characteristics of the product. We aim to analyze color and material relation using the metrics of social network analysis.
Methods We visualized a network of chair components by their colors and materials combination on 1,000 historically meaningful chairs in design history and identified visually dominant components and profiled each in terms of color (14 categories) and material (11 types), called “CM”. With the data set, we facilitated UCINET software to examine the network characteristics such as Size, Density, Centralization, and Subgroup. Also, we composed an interactive network using R to ease navigation and to offer dynamic interfaces. To exploit the experiential and practical values of our network, we conducted a focus group interview (FGI) with seven designers.
Results This study offers a visualization of color and material connection over a CM unit network. UCINET showed that CM network’s density was 26.9% and centralization was 6.9%, and one subgroup was formed. FGI feedback showed that the CM network was intuitively informative, brought unexpected surprises, and the possibility of exploring design style.
Conclusions This study presents the chair network in a new way of data archiving for color and material information. We expect the visualization of the connectivity among the products through colors and materials to inspire aesthetic inspiration.
Methods We visualized a network of chair components by their colors and materials combination on 1,000 historically meaningful chairs in design history and identified visually dominant components and profiled each in terms of color (14 categories) and material (11 types), called “CM”. With the data set, we facilitated UCINET software to examine the network characteristics such as Size, Density, Centralization, and Subgroup. Also, we composed an interactive network using R to ease navigation and to offer dynamic interfaces. To exploit the experiential and practical values of our network, we conducted a focus group interview (FGI) with seven designers.
Results This study offers a visualization of color and material connection over a CM unit network. UCINET showed that CM network’s density was 26.9% and centralization was 6.9%, and one subgroup was formed. FGI feedback showed that the CM network was intuitively informative, brought unexpected surprises, and the possibility of exploring design style.
Conclusions This study presents the chair network in a new way of data archiving for color and material information. We expect the visualization of the connectivity among the products through colors and materials to inspire aesthetic inspiration.
목차
Abstract
1. Introduction
2. Method
3. Result
4. Discussion
5. Conclusion
References
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