A Study on Variable Selection for Kansei Engineering System : Applications for Product Design

ISBN-13: 9783639112443 / Angielski / Miękka / 2009 / 124 str.

Chih-Chieh Yang

Opis

This study deals with the variable selection problemarises in the context of Kansei engineering system(KES). This problem consists of two sub-problems,namely affective response dimension selection (ARDS)and product form feature selection (PFFS). The cruxof the ARRS problem is how to choose suitableadjectives to describe consumers' affective responses(CARs), while the PFFS problem aims to pin pointcritical product form features (PFFs) that influenceCARs for the product design.

O autorze

Yang obtained his Ph.D. in Industrial Design from National Cheng
Kung University, Taiwan in August, 2008. His primary research
interests lie in Kansei engineering and affecitve product design,
which aim to analyze consumers' affective responses using
statistical methods and developing product design based on
artificial intelligence techniques.