DocumentCode
1602584
Title
Designing of the Color KANSEI Information Map Considering the Individual Characteristic by Using Multivariable Analysis
Author
Sato, Keiko ; Mitsukura, Yasue ; Fukumi, Minoru
Author_Institution
Okayama Univ.
fYear
2006
Firstpage
3706
Lastpage
3710
Abstract
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
Keywords
colour; consumer products; multivariable systems; principal component analysis; product design; PCA; color KANSEI information map design; color coordination system; color feature; consumer sensibility; multivariable analysis; products impression; Agriculture; Color; Data analysis; Data mining; Feature extraction; Humans; Information analysis; Information processing; Principal component analysis; Product design; KANSEI information processing; cluster analysis; color coordination; principal component analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE-ICASE, 2006. International Joint Conference
Conference_Location
Busan
Print_ISBN
89-950038-4-7
Electronic_ISBN
89-950038-5-5
Type
conf
DOI
10.1109/SICE.2006.315022
Filename
4108408
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