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

fYear

2008

fDate

8-11 Dec. 2008

Firstpage

748

Lastpage

752

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IEEM.2008.4737969

Filename

4737969