Skip to main content
×
×
Home

Creative exploration using topic-based bisociative networks

  • Faez Ahmed (a1) and Mark Fuge (a1)
Abstract

Bisociative 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.

  • View HTML
    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Creative exploration using topic-based bisociative networks
      Available formats
      ×
      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      Creative exploration using topic-based bisociative networks
      Available formats
      ×
      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      Creative exploration using topic-based bisociative networks
      Available formats
      ×
Copyright
Distributed as Open Access under a CC-BY-NC-SA 4.0 license (http://creativecommons.org/licenses/by-nc-sa/4.0/)
Corresponding author
Email address for correspondence: fuge@umd.edu
References
Hide All
Ahmed, F., David Gorbunov, L. & Fuge, M. 2016 Discovering diverse, high quality design ideas from a large corpus. In Proceedings of ASME International Design Engineering Technical Conferences (IDETC’16). ASME.
Ahmed, F. & Fuge, M. 2017 Capturing winning ideas in online design communities. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW ’17, pp. 16751687. ACM.
Benami, O. & Jin, Y. 2002 Creative stimulation in conceptual design. In Proceedings of ASME DETC/CIE, Montreal, QC, Canada, DETC2002/DTM-34023, 2(1).
Berthold, M. R. 2012 Towards bisociative knowledge discovery. In Bisociative Knowledge Discovery, pp. 110. Springer.
Blei, D. M. & Lafferty, J. D. 2007 A correlated topic model of science. The Annals of Applied Statistics 1 (1), 1735; doi:10.1214/07-AOAS114.
Blei, D. M. & Lafferty, J. D. 2009 Topic models. In Text Mining: Classification, Clustering, and Applications (ed. Srivastava, A., Sahami, M. & Kumar, V.), chapter 4, pp. 7195. Chapman and Hall/CRC.
Blei, D. M., Ng, A. Y. & Jordan, M. I. 2003 Latent dirichlet allocation. Journal of Machine Learning Research 3, 9931022.
Boden, M. A. 1994 Précis of the creative mind: myths and mechanisms. Behavioral and Brain Sciences 17 (3), 519531.
Chan, J., Dow, S. P. & Schunn, C. D. 2015 Do the best design ideas (really) come from conceptually distant sources of inspiration? Design Studies 36, 3158.
Chan, J., Schunn, C. & Dow, S. 2014 Overreliance on conceptually far sources decreases the creativity of ideas. In Proceedings of the Cognitive Science Society, Vol. 36.
Chan, J. & Schunn, C. D. 2015 The importance of iteration in creative conceptual combination. Cognition 145, 104115.
Chang, J. & Blei, D. M. 2009 Relational topic models for document networks. In International Conference on Artificial Intelligence and Statistics, pp. 8188.
Cheong, H., Chiu, I., Shu, L., Stone, R. & McAdams, D. 2011 Biologically meaningful keywords for functional terms of the functional basis. Journal of Mechanical Design 133 (2), 021007.
Cilibrasi, R. L. & Vitanyi, P. M. 2007 The google similarity distance. IEEE Transactions on Knowledge and Data Engineering 19 (3), 370383.
DeYoung, D. & Hobbs, D. 2009 Discovery of Design: Searching Out the Creator’s Secrets. New Leaf Publishing Group.
Dubitzky, W., Kötter, T., Schmidt, O. & Berthold, M. R. 2012 Towards creative information exploration based on koestlers concept of bisociation. In Bisociative Knowledge Discovery (ed. Berthold, M. R.), LNAI, vol. 7250, pp. 1132.
Fu, K., Chan, J., Cagan, J., Kotovsky, K., Schunn, C. & Wood, K. 2013 The meaning of near and far: the impact of structuring design databases and the effect of distance of analogy on design output. Journal of Mechanical Design 135 (2), 021007.
Fuge, M. & Agogino, A. 2014 How online design communities evolve over time: the birth and growth of OpenIDEO. In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers.
Fuge, M., Tee, K., Agogino, A. & Maton, N. 2014 Analysis of collaborative design networks: a case study of OpenIDEO. Journal of Computing and Information Science in Engineering 14 (2), 021009+.
Gentner, D. 1983 Structure-mapping: a theoretical framework for analogy. Cognitive Science 7 (2), 155170.
Gonçalves, M., Cardoso, C. & Badke-Schaub, P. 2012 Find your inspiration: exploring different levels of abstraction in textual stimuli. In DS 73-1 Proceedings of the 2nd International Conference on Design Creativity, Vol. 1.
Gosline, J., Guerette, P., Ortlepp, C. & Savage, K. 1999 The mechanical design of spider silks: from fibroin sequence to mechanical function. Journal of Experimental Biology 202 (23), 32953303.
Green, M., Seepersad, C. C. & Hölttä-Otto, K. 2014 Crowd-sourcing the evaluation of creativity in conceptual design: a pilot study. In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, p. V007T07A016. American Society of Mechanical Engineers.
Griffiths, T. L. & Steyvers, M. 2004 Finding scientific topics. Proceedings of the National Academy of Sciences 101 (suppl 1), 52285235.
Hey, J., Linsey, J., Agogino, A. M. & Wood, K. L. 2008 Analogies and metaphors in creative design. International Journal of Engineering Education 24 (2), 283.
Hofmann, T. 1999 Probabilistic latent semantic indexing. In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 5057. ACM.
Jansson, D. G. & Smith, S. M. 1991 Design fixation. Design Studies 12 (1), 311.
Juršič, M., Cestnik, B., Urbančič, T. & Lavrač, N. 2012a Bisociative literature mining by ensemble heuristics. In Bisociative Knowledge Discovery, pp. 338358. Springer.
Juršič, M., Sluban, B., Cestnik, B., Grčar, M. & Lavrač, N. 2012b Bridging concept identification for constructing information networks from text documents. In Bisociative Knowledge Discovery, pp. 6690. Springer.
Kamahara, J., Asakawa, T., Shimojo, S. & Miyahara, H. 2005 A community-based recommendation system to reveal unexpected interests. In Multimedia Modelling Conference, 2005. MMM 2005. Proceedings of the 11th International, pp. 433438. IEEE.
Kang, S. W.2016 Bisociative design: concept exploration by mining design associations across multiple products. https://etda.libraries.psu.edu/catalog/28827.
Kang, S. W. & Tucker, C. S. 2017 Exploring the correlation between new function attributes mined from different product domains and market sales. The Engineering Economist, 1–30; doi:10.1080/0013791X.2017.1314567.
Kittur, A. 2010 Crowdsourcing, collaboration and creativity. ACM Crossroads 17 (2), 2226.
Kittur, A., Nickerson, J. V., Bernstein, M., Gerber, E., Shaw, A., Zimmerman, J., Lease, M. & Horton, J. 2013 The future of crowd work. In Proceedings of the 2013 Conference on Computer Supported Cooperative Work, CSCW’13, pp. 13011318. ACM.
Koestler, A. 1964 The Act of Creation, 751 pp. Hutchinson, Macmillan.
Krestel, R., Fankhauser, P. & Nejdl, W. 2009 Latent dirichlet allocation for tag recommendation. In Proceedings of the Third ACM Conference on Recommender Systems, pp. 6168. ACM.
Maaten, L. v. d. & Hinton, G. 2008 Visualizing data using t-SNE. Journal of Machine Learning Research 9 (Nov), 25792605.
MATLAB 2016 version 9.0.0 (R2016a). The MathWorks Inc.
Newman, D., Baldwin, T., Cavedon, L., Huang, E., Karimi, S., Martinez, D., Scholer, F. & Zobel, J. 2010 Visualizing search results and document collections using topic maps. Web Semantics: Science, Services and Agents on the World Wide Web 8 (2), 169175.
Newman, D., Bonilla, E. V. & Buntine, W. 2011 Improving topic coherence with regularized topic models. In Advances in Neural Information Processing systems, pp. 496504.
Onuma, K., Tong, H. & Faloutsos, C. 2009 Tangent: a novel, ‘surprise me’, recommendation algorithm. In Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 657666. ACM.
Pahl, A.-K., Newnes, L. & McMahon, C. 2007 A generic model for creativity and innovation: overview for early phases of engineering design. Journal of Design Research 6 (1–2), 544.
Pang, M. A. & Seepersad, C. C. 2016 Crowdsourcing the evaluation of design concepts with empathic priming. In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, p. V007T06A004. American Society of Mechanical Engineers.
Petriĕ, I., Urbanĕiĕ, T., Cestnik, B. & Macedoni-Lukšiĕ, M. 2009 Literature mining method rajolink for uncovering relations between biomedical concepts. Journal of Biomedical Informatics 42 (2), 219227.
Poincaré, H. 1910 Mathematical creation. The Monist 20 (3), 321335.
Purcell, A. T. & Gero, J. S. 1996 Design and other types of fixation. Design Studies 17 (4), 363383.
Roberts, R. M. 1989 Serendipity: accidental discoveries in science. In Serendipity: Accidental Discoveries in Science, by Royston M. Roberts, p. 288. Wiley-VCH.
Rosen-Zvi, M., Griffiths, T., Steyvers, M. & Smyth, P. 2004 The author-topic model for authors and documents. In Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence, pp. 487494. AUAI Press.
Salton, G. & Buckley, C. 1988 Term-weighting approaches in automatic text retrieval. Information Processing & Management 24 (5), 513523.
Schmidt, O., Kranjc, J., Mozetič, I., Thompson, P. & Dubitzky, W. 2012 Bisociative exploration of biological and financial literature using clustering. In Bisociative Knowledge Discovery, pp. 438451. Springer.
Segond, M. & Borgelt, C. 2009 Bisonet generation using textual data. In Workshop on Explorative Analytics of Information Networks at ECML PKDD 2009, p. 12.
Shah, J. J., Smith, S. M. & Vargas-Hernandez, N. 2003 Metrics for measuring ideation effectiveness. Design Studies 24 (2), 111134.
Siangliulue, P., Arnold, K. C., Gajos, K. Z. & Dow, S. P. 2015 Toward collaborative ideation at scale: leveraging ideas from others to generate more creative and diverse ideas. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, pp. 937945. ACM.
Stober, S., Haun, S. & Nürnberger, A. 2012 Bisociative music discovery and recommendation. In Bisociative Knowledge Discovery, pp. 472483. Springer.
Swanson, D. R. 1986 Fish oil, Raynaud’s syndrome, and undiscovered public knowledge. Perspectives in Biology and Medicine 30 (1), 718.
Teh, Y. W., Jordan, M. I., Beal, M. J. & Blei, D. M. 2004 Sharing clusters among related groups: Hierarchical Dirichlet processes. In NIPS, pp. 13851392.
Tucker, C. & Kang, S. 2012 Bisociative design framework for knowledge discovery across seemingly unrelated product domains. In Proceedings of the ASME IDETC/CIE, Chicago, IL, Paper No. DETC2012-70764. ASME.
Wei, X. & Croft, W. B. 2006 LDA-based document models for ad hoc retrieval. In Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 178185. ACM.
Zahner, D., Nickerson, J. V., Tversky, B., Corter, J. E. & Ma, J. 2010 A fix for fixation? rerepresenting and abstracting as creative processes in the design of information systems. AI EDAM 24 (2), 231244.
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Design Science
  • ISSN: -
  • EISSN: 2053-4701
  • URL: /core/journals/design-science
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Keywords

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed