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Kansei/Affective Engineering: Systems Innovation Book Series

Editat de Mitsuo Nagamachi
en Limba Engleză Hardback – 15 aug 2017
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.
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Specificații

ISBN-13: 9781138440593
ISBN-10: 1138440590
Pagini: 334
Dimensiuni: 156 x 234 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Systems Innovation Book Series


Public țintă

Professional Practice & Development

Cuprins

Kansei/ Affective Engineering and Kansei Ergonomics. Kansei Engineering, Usability and Universal Design. Methods of Kansei Engineering. Psychological Measurement for Kansei. Engineering. Psychophysiological Measurement. Statistical Analysis for Kansei Engineering. Engineering Technology for Kasei Engineering. Rough Set Theory and Kansei Engineering. E-commerce and Kansei Engineering. History of Kansei Engineering in Japan. Trend of European Kansei Engineering. Applications of Kansei Engineering Methods. Applications of Kansei Engineering/Ergonomics. Kansei Engineering and Designing: Products and Packaging. Kansei Quality and QFD.

Notă biografică

Mitsuo Nagamachi is Professor Emeritus at Hiroshima University, Japan and the President of the International Kansei Design Institute.

Descriere

Providing a guided tour through each stage of process, this book 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.