Perceptual Evaluations of Plant-Dyed and Industrial-Dyed Cotton Fabrics Based on Kansei Engineering

Abstract

This study explored the perceptual cognition of differently dyed fabrics among consumers and compared perceptual evaluations of dyed fabrics made of various materials using basic theoretical knowledge of Kansei engineering and clothing materials. SPSS software was used for statistical analysis of the survey data of 100 college students to determine the characteristics of dyed cotton fabric. The results of the perceptual evaluations of plant-dyed and industrial-dyed fabrics are discussed. The most representative characteristics of cotton fabrics, core evaluation vocabulary, and perceptual evaluation factors of plant-dyed and industrial-dyed cotton fabrics were determined by the semantic difference method and cluster analysis. The relationship between the perceptual image word pairs (i.e. vision, touch, smell, health, and value) and each type of dyed fabrics was studied.