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.
Preface
About the Editor
Contributors
Chapter 1 : Kansei/Affective Engineering and History of Kansei/Affective Engineering in the World
Chapter 2 : Methods of Kansei/Affective Engineering and Specific Cases of Kansei Products
Chapter 3 : Psychological Methods of Kansei Engineering
Chapter 4 : Psychophysiological Methods
Chapter 5 : Statistical Analysis for Kansei/Affective Engineering
Chapter 6 : Soft Computing System for Kansei/Affective Engineering
Chapter 7 : Rough Set Theory and Kansei/Affective Engineering
Chapter 8 : Kansei/Affective Engineering and Web Design
Chapter 9 : Kansei/Affective Engineering for the European Fast-Moving Consumer Goods Industry
Chapter 10 : Kansei/Affective Engineering Applied to Triggers in Powered Hand Tools
Chapter 11 : Kansei, Quality, and Quality Function Deployment
Index
