Designing of the Color KANSEI Information Map Considering the Individual Characteristic by Using Multivariable Analysis

• Published in: 2006 SICE-ICASE international joint conference : Busan, Korea, 18-21 October 2006 pp. 3706 - 3710
• Main Authors: Sato, K., Mitsukura, Y., Fukumi, M.
• Format: Conference Proceeding
• Language: English; Japanese
• Published: IEEE 2006
• Subjects: Agriculture; cluster analysis; Color; color coordination; Data analysis; Data mining; Feature extraction; Humans; Information analysis; Information processing; KANSEI information processing; Principal component analysis; Product design
• ISBN: 9788995003848; 8995003847
• DOI: 10.1109/SICE.2006.315022

The color design is one of the most important elements that influence the impression of products, therefore the technology which understands and reflects the consumer's sensibility is needed in the color design. Especially, the color coordination system that connects colors with impressions is expected as the system supporting the color design. Therefore, in the field of the KANSEI engineering, researches that model the correlation of colors (the arrangement of the color) and impression words have been done. However, the impression received from the color is various by individual, therefore, it is necessary to model the KANSEI information to each individual. In this paper, we analyze the data of the evaluation questionnaire of the color for the subject, and propose the method of extracting the KANSEI information of the subject. Concretely, by using the multivariable analysis, the correlation with an amount of the sensibility and the color feature is found. As a result, it is thought that the tendency of impressions to colors can be expressed in the sight