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

플라스틱 표면 조도의 변화에 따른 빈도분포에 대한 감성공학적 군집분석

  • Jun, Chang Lim (Department of Chemical System Engineering, Hong Ik University)
  • 전창림 (홍익대학교 과학기술대학 화학시스템공학과)
  • Received : 2007.06.05
  • Accepted : 2007.06.28
  • Published : 2007.08.10

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

Acknowledgement

Supported by : 홍익대학교

References

  1. C. L. Jun and K. Choi, J. Korean Statistics Society, 10(1), 49 (2002)
  2. P. McCullagh, Permutation and Regression Models, Probability Models and Statistical Analysis for Ranking Data, M. A. Fligner, and J. S. Verducci, Eds., Springer-Verlag, New York (1993)
  3. J. B. Kruscal and M. Wish, Multidimensional Scaling, Sage, C.A. (1978)
  4. J. I. Marden, Introduction to Analyzing and Modeling Rank Data, Chapman and Hall, London (1995)
  5. M. Nagamachi, Kansei Engineering, Kaibundo Publisher, Tokyo (1993)
  6. R. O. Duda, P. E. Hart, and D. G. Stock, Pattern Classification, Wiley (2001)
  7. R. Brunelli and O. Mich, An Image Retrieval Sytem, IEEE Transactions on Multimedia (2000)
  8. M. Nagamachi, Kansei Engineering, A Study of Emotion Technology, Japanese J. Ergonomics, 10(10), 121 (1974) https://doi.org/10.5100/jje.10.121
  9. M. Nagamachi, Ergonomics International, 88, 72 (1988)
  10. P. Diaconis, A Generalization of Spectral Analysis with Application to Ranked Data, Annuals of Statistics, 17, 949 (1989) https://doi.org/10.1214/aos/1176347251