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Clustering Kansei Factors for the Roughness of Plastic Surface Based on Frequency Distribution  

Jun, Chang Lim (Department of Chemical System Engineering, Hong Ik University)
Publication Information
Applied Chemistry for Engineering / v.18, no.4, 2007 , pp. 366-370 More about this Journal
Abstract
New product development requires information on customers' 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, was measured and statistically analysed for different surface roughnesses of plastic samples. The emotional responses of 37 pairs of positive and negative adjectives describing tactile senses were collected and analysed through the questionnaire to find the correlation between adjectives and surface roughness. Frequency of the first preference for each adjective on four different roughness is obtained, and used for the statistical studies such as factor analysis, multidimensional scaling, or clustering.
Keywords
plastic; roughness; tactile; kansei engineering; factor analysis; multidimensional scaling; clustering;
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