• DocumentCode
    3152791
  • Title

    The Kansei Research on the Style of Women´s Overcoats

  • Author

    Ying, Wang ; Yan, Chen

  • Author_Institution
    Dept. of Clothing Design & Eng., Suzhou Univ.
  • Volume
    1
  • fYear
    2006
  • fDate
    4-6 Oct. 2006
  • Firstpage
    431
  • Lastpage
    436
  • Abstract
    Kansei engineering has been found an effective methodology to deal with customers´ feelings, demands and images of various products related with daily life. In this paper, the technique of Kansei engineering was applied to the research on the style of women´s overcoats for the purpose of finding out the relationship between customers´ feelings and design elements. Women´s overcoats were chosen as research objects. By card system, 6 word-pair were chosen to establish the semantic space. The product elements space, containing 7 items and 25 categories, was established by shape analytical method. In the step of synthesis, the relationship between the two spaces was studied and quantified. Though regression analysis, some useful parameters were obtained, as R-square, category score and range, and used to explain the reliability of the regression and influences of the each category and each item on perception judgment
  • Keywords
    clothing; product design; regression analysis; Kansei engineering; R-square; card system; category range; category score; customer feelings; design elements; garment style; product elements space; regression analysis; shape analytical method; women overcoats; Clothing; Concrete; Data engineering; Databases; Design engineering; Interference; Regression analysis; Reliability engineering; Shape; Systems engineering and theory; Kansei Engineering; design elements; style of garment; women´s overcoat;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Engineering in Systems Applications, IMACS Multiconference on
  • Conference_Location
    Beijing
  • Print_ISBN
    7-302-13922-9
  • Electronic_ISBN
    7-900718-14-1
  • Type

    conf

  • DOI
    10.1109/CESA.2006.4281691
  • Filename
    4281691