Knowledge Base Repository
In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.
Rough Set Based Rule Mining for Affective Design
Zhou, Feng; Jiao, Roger Jianxin; Schaefer, Dirk; Chen, Songlin
Type:
Year:
2009
Editor:
Norell Bergendahl, M.; Grimheden, M.; Leifer, L.; Skogstad, P.; Lindemann, U.
Author:
Series:
ICED
Section:
Human Behavior in Design
Page(s):
245-254
Abstract:
Affective design plays an important role in the development of products and services towards high value-added customer satisfaction. The main challenge for affective design is identified as how to translate affective customer needs into design elements. Towards this end, this paper formulates this problem as a rule mining process from the customer domain to the designer domain and proposes a rough set based K-optimal rule discovery method. A rule importance measure, taking rule semantics into account, is used to evaluate and refine the generated rules. A case study of truck cab interior design is also presented to illustrate the potential of the proposed method.
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