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A DATA-DRIVEN APPROACH FOR CREATIVE CONCEPT GENERATION AND EVALUATION

Part of: Design Support Tools

Published online by Cambridge University Press:  11 June 2020

J. Han ,
H. Forbes ,
F. Shi ,
J. Hao  and
D. Schaefer
J. Han*
Affiliation:
University of Liverpool, United Kingdom
H. Forbes
Affiliation:
University of Liverpool, United Kingdom
F. Shi
Affiliation:
Amazon Web Services, United Kingdom
J. Hao
Affiliation:
Beijing Institute of Technology, China
D. Schaefer
Affiliation:
University of Liverpool, United Kingdom
*
*[email protected]

Abstract

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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.

Keywords

conceptual designdesign creativityevaluationdata-driven designidea generation
Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 167 - 176
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2020. Published by Cambridge University Press

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