Abstract:

To identify different feeling characteristics of different material of yarn-dyed fabrics in the eyes of consumers, spring and summer shirt yarn-dyed fabrics were chosen as the research object and most commonly used materials were selected as the fabric samples. Using exploratory factor analysis, multiple regression statistical analysis methods to clear different material characteristics, the results show that there are significant differences on sensory images for different materials which can be interpreted as six factors , and the feeling of consumers is not completely consistent with KES style instrument test results. Besides, the relationship structure between image and preference evaluation is different for different materials which can be expressed by relational function. The research results provide a reference for selection and design of yarn-dyed fabrics.

Key words: yarn-dyed fabric, kansei engineering, factor analysis, regression analysis