Mining and Representing the Concept Space of Existing Ideas for Directed Ideation
Name
md_141_12_121101.pdf
Description
Published version
Size
1.12 MB
Format
Adobe PDF
Checksum (MD5)
37c661cbe6b3dd85229303144b43c697
Author(s)
He, Yuejun
Camburn, Bradley
Liu, Haowen
Luo, Jianxi
Yang, Maria
Wood, Kristin
Date Issued
2019
Journal
Journal of Mechanical Design
Publisher
ASME International
Version
Final published version
Abstract
AbstractDesign innovation projects often generate large numbers of design ideas from designers, users, and, increasingly, the crowd over the Internet. Such idea data are often used for selection and implementation but, in fact, can 1also be used as sources of inspiration for further idea generation. In particular, the elementary concepts that underlie the original ideas can be recombined to generate new ideas. But it is not a trivial task to retrieve concepts from raw lists of ideas and data sources in a manner that can stimulate or generate new ideas. A significant difficulty lies in the fact that idea data are often expressed in unstructured natural languages. This paper develops a methodology that uses natural language processing to extract key words as elementary concepts embedded in massive idea descriptions and represents the elementary concept space in a core–periphery structure to direct the recombination of elementary concepts into new ideas. We apply the methodology to mine and represent the concept space underlying massive crowdsourced ideas and use it to generate new ideas for future transportation system designs in a real public sector-sponsored project via humans and automated computer programs. Our analysis of the human and computer recombination processes and outcomes sheds light on future research directions for artificial intelligence in design ideation.
MIT Department
SUTD-MIT International Design Centre (IDC)
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1115/1.4044399
