A Study on Clustering Kansei Factors for the Surface Roughenss of MaterialsA Study on Clustering Kansei Factors for the Surface Roughenss of Materials
- Other Titles
- A Study on Clustering Kansei Factors for the Surface Roughenss of Materials
- Authors
- 전창림; KyungmeeChoi
- Issue Date
- 2003
- Publisher
- 한국통계학회
- Keywords
- Kansei Engineering; Factor Analysis; Multidimensional Scaling; Cluster analysis; Kansei Engineering; Factor Analysis; Multidimensional Scaling; Cluster analysis
- Citation
- Communications for Statistical Applications and Methods, v.10, no.1, pp.49 - 60
- Journal Title
- Communications for Statistical Applications and Methods
- Volume
- 10
- Number
- 1
- Start Page
- 49
- End Page
- 60
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/26535
- ISSN
- 2287-7843
- 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.
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