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A Study on Clustering Kansei Factors for the Surface Roughness of Materials
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 Title & Authors
A Study on Clustering Kansei Factors for the Surface Roughness of Materials
Jun, Chang Lim; Choi, Kyungmee;
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 Abstract
The human sensibility product design requires information on consumer's emotions such as vision, auditory, olfactory, gustatory, or tactile perceptions. In this study, tactile sense which has not been well studied compared to other senses, is measured and statistically analysed. The emotional responses of 37 pairs of positive and negative adjectives describing tactile senses are collected and analysed through the questionnaire to find the correlation between adjectives and surface roughness of the sample. Mean ranks for 37 pairs of adjectives on four samples are obtained, and used to cluster these adjectives by factor analysis, multidimensional scaling, or cluster analysis.
 Keywords
Kansei Engineering;Factor Analysis;Multidimensional Scaling;Cluster analysis;
 Language
Korean
 Cited by
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