Title :
Association rule mining for affective product design
Author :
Yang, X. ; Wu, D. ; Zhou, F. ; Jiao, J. Roger
Author_Institution :
Sch. of Mech. & Aerosp. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
Affective product design implies a gradual shift of design focus from functional aspect to affective/emotional aspect. It evolves as an interdisciplinary research topic between human factors, industrial design and many other disciplines. This paper applies association rule mining to reveal the mapping relations between customer affective needs and configuration of design elements. Generic affective dimensions of truck cab were identified by clustering analysis. A goodness criterion was introduced to refine association rules. A case study of Volvo truck cab design was conducted based on the proposed methods.
Keywords :
data mining; pattern clustering; product design; production engineering computing; affective-emotional aspect; association rule mining; clustering analysis; generic affective dimensions; goodness criterion; industrial design; mapping relations; product design; truck cab; Aerospace engineering; Association rules; Data mining; Engineering management; Human factors; Industrial relations; Process design; Product design; Refining; Technology management; affective product design; association rule mining; clustering analysis; conjoint analysis;
Conference_Titel :
Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2629-4
Electronic_ISBN :
978-1-4244-2630-0
DOI :
10.1109/IEEM.2008.4737969
