A Study on Variable Selection for Kansei Engineering System - Yang, Chih-Chieh
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This study deals with the variable selection problem arises 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 crux of the ARRS problem is how to choose suitable adjectives to describe consumers' affective responses (CARs), while the PFFS problem aims to pin point critical product form features (PFFs) that influence CARs for the product design.

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Produktbeschreibung
This study deals with the variable selection problem
arises 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 crux
of the ARRS problem is how to choose suitable
adjectives to describe consumers' affective responses
(CARs), while the PFFS problem aims to pin point
critical product form features (PFFs) that influence
CARs for the product design.
Autorenporträt
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.