A DATA-DRIVEN APPROACH FOR CREATIVE CONCEPT GENERATION AND EVALUATION. (May 2020)

• Record Type: Journal Article
• Authors: Han, J.; Forbes, H.; Shi, F.; Hao, J.; Schaefer, D.
• Is Part Of: Proceedings of the Design Society: DESIGN Conference. Volume 1(2020)
• Page Start: 167
• Page End: 176
• Publication Date: 2020-05
• Subjects: conceptual design -- design creativity -- evaluation -- data-driven design -- idea generation; Engineering design -- Congresses; Industrial design -- Congresses; 620.0042
• DOI: 10.1017/dsd.2020.5
• Languages: English
• ISSNs: 2633-7762

Abstract

Abstract: Conceptual design, as an early phase of the design process, is known to have the highest impact on determining the innovation level of design results. Although many tools exist to support designers in conceptual design, additional knowledge, especially knowledge related to emerging technologies, is still often needed. In this paper the authors aim to propose a data-driven creative concept generation and evaluation approach to support designers in incorporating emerging technologies in the new product early development stage. The approach is demonstrated by means of an illustrated example.