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
- 학술대회자료
- 저자정보
- 발행연도
- 2013.8
- 수록면
- 448 - 456 (9page)
이용수
초록· 키워드
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During the design planning process in product development, aesthetic designs that can provide the desired impression are sought. For this reason, many scientific analysis methods for adjusting product designs closer to consumer preferences have been proposed. However, the creation of product designs that match consumer sensitivity, which varies extensively by individual, involves many problems. Using floral patterns as an example, this research proposes a control method to generate designs which meet individual consumer sensitivity based on the Taguchi method. First, floral patterns were constructed using a L36 orthogonal table. Next, the Kansei data of consumers was extracted using the SD method and Kansei words, and the Kansei SN ratio was calculated. The relationship between the design parameters and consumer sensitivity were then analyzed by multiple linear regression analysis and quantification theory 1. Finally, the floral patterns were reconstructed. The basic system for the proposed technique was built, and its usefulness was verified through experiments.
목차
Abstract
1. Introduction
2. Building Floral Models
3. Impression Evaluation Experiment
4. Analysis Method
5. Results
6. Results
7. Conclusions
5. References
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UCI(KEPA) : I410-ECN-0101-2015-500-000938710