A guided tour through the each stages of process, Kansei/Affective Engineering explores how to apply Kansei/Affective Engineering. It describes the psychological survey and psycho-physiological measurement of consumer feelings and the multivariate statistical analysis of this survey data, including rough set models. Since soft computing technology is very useful from the viewpoint of product design, the author details the Expert system, neural networks, GA, and other relevant methods to support the designer's decision or the customer's choice. The text includes applied examples in areas such as automotive, home electrics, appliances, cosmetics, packaging, and e-commerce business.
Table of Contents
Kansei/Affective Engineering and History of Kansei/Affective Engineering in the World, M. Nagamachi
Methods of Kansei/Affective Engineering and Specific Cases of Kansei Products, M. Nagamachi
Psychological Methods of Kansei Engineering, S. Ishihara
Psychophysiological Methods, K. Ishihara
Statistical Analysis for Kansei/Affective Engineering, M. Nagamachi
Soft Computing System for Kansei/Affective Engineering, Y. Matsubara
Rough Set Theory and Kansei/Affective Engineering, T. Nishino
Kansei/Affective Engineering and Web Design, A.M. Lokman
Kansei/Affective Engineering for the European Fast-Moving Consumer Goods Industry, C. Barnes, T. Childs, and S. Lillford
Kansei/Affective Engineering Applied to Triggers in Powered Hand Tools, E. Ayas, J. Eklund, and S. Ishihara
Kansei, Quality, and Quality Function Deployment, Ricardo Hirata Okamoto
Mitsuo Nagamachi is Professor Emeritus at Hiroshima University, Japan and the President of the International Kansei Design Institute.