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Expert representation of design repository space: A comparison to and validation of algorithmic output

Fu, K and Chan, J and Schunn, C and Cagan, J and Kotovsky, K (2013) Expert representation of design repository space: A comparison to and validation of algorithmic output. Design Studies, 34 (6). 729 - 762. ISSN 0142-694X

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Abstract

Development of design-by-analogy tools is a promising design innovation research avenue. Previously, a method for computationally structuring patent databases as a basis for an automated design-by-analogy tool was introduced. To demonstrate its strengths and weaknesses, a computationally-generated structure is compared to four expert designers' mental models of the domain. Results indicate that, compared to experts, the computationally-generated structure is sensible in clustering of patents and organization of clusters. The computationally-generated structure represents a space in which experts can find common ground/consensus - making it promising to be intuitive/accessible to broad cohorts of designers. The computational method offers a resource-efficient way of usefully conceptualizing the space that is sensible to expert designers, while maintaining an element of unexpected representation of the space. © 2013 Elsevier Ltd. All rights reserved.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Fu, K
Chan, J
Schunn, Cschunn@pitt.eduSCHUNN0000-0003-3589-297X
Cagan, J
Kotovsky, K
Centers: Other Centers, Institutes, or Units > Learning Research & Development Center
Date: 1 November 2013
Date Type: Publication
Journal or Publication Title: Design Studies
Volume: 34
Number: 6
Page Range: 729 - 762
DOI or Unique Handle: 10.1016/j.destud.2013.06.002
Schools and Programs: Dietrich School of Arts and Sciences > Psychology
Refereed: Yes
ISSN: 0142-694X
Date Deposited: 23 Sep 2014 16:57
Last Modified: 02 Feb 2019 15:56
URI: http://d-scholarship.pitt.edu/id/eprint/22966

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