Computational conceptual distances in combinational creativity
File(s)
Author(s)
Han, J
Hua, M
Park, D
Wang, P
Childs, PRN
Type
Journal Article
Abstract
Combinational creativity can play a significant role in supporting designers to produce creative ideas during the early stages of new product development. This paper explores conceptual distances in combinational creativity from computational perspectives. A study conducted indicates that different computational measurements show different conceptual distance results. However, the study suggests far-related ideas could lead to outcomes that are more creative than closely-related ones. This paper provides useful insights into exploring future computational design support tools.
Date Issued
2020-05
Date Acceptance
2020-06-01
Citation
Proceedings of the Design Society: DESIGN Conference, 2020, 1, pp.177-186
ISSN
2732-527X
Publisher
Cambridge University Press (CUP)
Start Page
177
End Page
186
Journal / Book Title
Proceedings of the Design Society: DESIGN Conference
Volume
1
Copyright Statement
The Author(s), 2020. Published by Cambridge University Press
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.
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.
Identifier
http://dx.doi.org/10.1017/dsd.2020.36
Publication Status
Published
Date Publish Online
2020-06-11