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dc.contributor.authorAhmed, Faez
dc.contributor.authorFuge, Mark
dc.date.accessioned2018-06-29T17:00:54Z
dc.date.available2018-06-29T17:00:54Z
dc.date.issued2018-02-05
dc.identifierhttps://doi.org/10.13016/M21834555
dc.identifier.citationAhmed, F., & Fuge, M. (2018). Creative exploration using topic-based bisociative networks. Design Science, 4, E12. doi:10.1017/dsj.2018.5en_US
dc.identifier.urihttp://hdl.handle.net/1903/20697
dc.descriptionFunding for Open Access provided by the UMD Libraries' Open Access Publishing Fund.en_US
dc.description.abstractBisociative knowledge discovery is an approach that combines elements from two or more `incompatible' domains to generate creative solutions and insight. Inspired by Koestler's notion of bisociation, in this paper we propose a computational framework for the discovery of new connections between domains to promote creative discovery and inspiration in design. Specifically, we propose using topic models on a large collection of unstructured text ideas from multiple domains to discover creative sources of inspiration. We use these topics to generate a Bisociative Information Network - a graph that captures conceptual similarity between ideas - that helps designers find creative links within that network. Using a dataset of thousands of ideas from OpenIDEO, an online collaborative community, our results show usefulness of representing conceptual bridges through collections of words (topics) in finding cross-domain inspiration. We show that the discovered links between domains, whether presented on their own or via ideas they inspired, are perceived to be more novel and can also be used as creative stimuli for new idea generation.en_US
dc.language.isoen_USen_US
dc.publisherCambridge University Pressen_US
dc.subjectbisociative networksen_US
dc.subjectconceptual designen_US
dc.subjectcomputational creativityen_US
dc.subjectdesign creativityen_US
dc.subjectidea generationen_US
dc.titleCreative Exploration Using Topic Based Bisociative Networksen_US
dc.typeArticleen_US
dc.relation.isAvailableAtA. James Clark School of Engineeringen_us
dc.relation.isAvailableAtMechanical Engineeringen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us


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