DOI: 10.21276/sjpms.2018.5.3.2

Pages: 199-202

Kansei engineering is a field in which development of products that brings happiness and satisfaction to humans is performed technologically. Many well-known statistical techniques are widely used in kansei data analysis. These techniques include multivariate statistical techniques like such as principal component analysis, factor analysis, cluster analysis, regression and correspondence analysis. The use of statistical analysis in kansei studies is very important. Particularly in the kansei process, after the data are collected, the data are primarily confronted in the analysis phase. Studies on Kansei engineering are made in many areas, for examples in automotive, food and furniture industries and so on. Especially in the product design process, we can use statistical techniques for obtaining kansei data and analyzing data. The kansei applications are designed to establish the relationship between customer image and design characteristics of products