Skip to main content
×
×
Home

Patent stimuli search and its influence on ideation outcomes

  • Binyang Song (a1), V. Srinivasan (a2) and Jianxi Luo (a1) (a3)
Abstract

Prior studies on design ideation have demonstrated the efficacy of using patents as stimuli for concept generation. However, the following questions remain: (a) From which part of the large patent database can designers identify stimuli? (b) What are their implications on ideation outcomes? This research aims to answer these questions through a design experiment of searching and identifying patent stimuli to generate new concepts of spherical rolling robots. We position the identified patent stimuli in the home, near and far fields defined in the network of patent technology classes, according to the network’s community structure and the knowledge proximity of the stimuli to the spherical rolling robot design. Significant findings are: designers are most likely to find patent stimuli in the home field, whereas most patent stimuli are identified in the near field; near-field patents stimulate the most concepts, which exhibit a higher average novelty; combined home- and far-field stimuli are most beneficial for high concept quality. These findings offer insights on designers’ preferences in search for patent stimuli and the influence of stimulation distance on ideation outcomes. The findings will also help guide the development of a computational tool for the search of patents for design inspiration.

  • 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.

      Patent stimuli search and its influence on ideation outcomes
      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.

      Patent stimuli search and its influence on ideation outcomes
      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.

      Patent stimuli search and its influence on ideation outcomes
      Available formats
      ×
Copyright
Distributed as Open Access under a CC-BY 4.0 license (http://creativecommons.org/licenses/by/4.0/)
Corresponding author
Email address for correspondence: binyang_song@mymail.sutd.edu.sg
References
Hide All
Alstott, J., Triulzi, G., Yan, B. & Luo, J. 2017a Mapping technology space by normalizing technology networks. Scientometrics 110 (1), 443479.
Alstott, J., Triulzi, G., Yan, B. & Luo, J. 2017b Inventor’s explorations across technology domains. Design Science 3; doi:10.1017/dsj.2017.21.
Altshuller, G. S. & Shapiro, R. B.1956 ‘О Психологии изобретательсҡого творчества (On the psychology of inventive creation) (in Russian)’, Вопросы Психологии (The Psychological Issues), 6(Вопросы Психологии (The Psychological Issues)), pp. 37–49.
Blondel, V. D., Guillaume, J.-L., Lambiotte, R. & Lefebvre, E. 2008 Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment 2008 (10), P10008.
Breschi, S., Lissoni, F. & Malerba, F. 2003 Knowledge-relatedness in firm technological diversification. Research Policy 32, 6987.
Browet, A., Absil, P. & Van Dooren, P.2013 Fast community detection using local neighbourhood search, Preprint, pp. 1–10. Available at http://arxiv.org/abs/1308.6276.
Cascini, G. & Russo, D. 2006 Computer-Aided analysis of patents and search for TRIZ contradictions. International Journal of Product Development 4 (1–2), 5267.
Chakrabarti, A., Sarkar, P., Leelavathamma, B. & Nataraju, B. S. 2005 A functional representation for aiding biomimetic and artificial inspiration of new ideas. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 19 (2), 113132.
Chan, J., Fu, K., Schunn, C., Cagan, J., Wood, K. & Kotovsky, K. 2011 On the benefits and pitfalls of analogies for innovative design: ideation performance based on analogical distance, commonness, and modality of examples. Journal of Mechanical Design 133 (8), 81004.
Chan, J. & Schunn, C. 2015 The impact of analogies on creative concept generation: lessons from an in vivo study in engineering design. Cognitive Science 39 (1), 126155.
Chen, D., Wang, J., Chen, X. & Xu, X. 2010 A search algorithm for clusters in a network or graph. International Journal of Digital Content Technology and its Applications 4 (6), 115122.
Christensen, B. T. & Schunn, C. D. 2007 The relationship of analogical distance to analogical function and preinventive structure: the case of engineering design. Memory and Cognition 35 (1), 2938.
Clauset, A., Newman, M. E. J. & Moore, C. 2004 Finding community structure in very large networks. Physics 70 (6), P066111.
Dibiaggio, L., Nasiriyar, M. & Nesta, L. 2014 Substitutability and complementarity of technological knowledge and the inventive performance of semiconductor companies. In Research Policy, pp. 112. Elsevier.
Ejermo, O. 2005 Technological diversity and Jacobs’ externality hypothesis revisited. Growth and Change 36 (2), 167195.
Fantoni, G., Apreda, R., Orletta, F. D. & Monge, M. 2013 Advanced engineering informatics automatic extraction of function – behaviour – state information from patents. Advanced Engineering Informatics 27 (3), 317334.
French, M. J. 1985 Conceptual Design for Engineers. Springer.
Fu, K., Cagan, J., Kotovsky, K. & Wood, K. 2013a Discovering structure in design databases through functional and surface based mapping. Journal of Mechanical Design 135 (March 2013), 31006.
Fu, K., Chan, J., Cagan, J., Kotovsky, K., Schunn, C. & Wood, K. 2013b 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), 21007.
Fu, K., Murphy, J., Yang, M., Otto, K., Jensen, D. & Wood, K. 2015 Design-by-analogy: experimental evaluation of a functional analogy search methodology for concept generation improvement. Research in Engineering Design 26 (1), 7795.
Gentner, D. & Markman, A. B. 1997 Structure mapping in analogy and similarity. American Psychologist 52 (I), 4556.
Gick, M. L. & Holyoak, K. J. 1980 Analogical problem solving. Cognitive psychology 12 (3), 306355.
Goel, A. K. 1997 Design, Analogy, and Creativity. IEEE Expert 12 (3), 025.
Hall, B. H., Jaffe, A. B. & Trajtenberg, M.2000 Market Value and Patent Citations: A First Look. NBER Working Paper No. 7741 (National Bureau of Economic Research); doi:10.3386/w7741.
Jaccard, P. 1901 Distribution de la flore alpine dans le bassin des Dranses et dans quelques régions voisines. Bulletin de la Société vaudoise des sciences naturelles 37, 241272.
Jaffe, A. B. 1986 Technological opportunity and spillovers of R & D: evidence from firms’ patents, profits and market value. The American Economic Review 76 (5), 9841001.
Jansson, D. G. & Smith, S. M. 1991 Design-Fixation. Design Studies 12 (1), 311.
Jensen, D., Weaver, J., Wood, K., Linsey, J. & Wood, J. 2009 Techniques to enhance concept generation and develop creativity. In Annual Conference, Austin, TX.
Kay, L., Newman, N., Youtie, J., Porter, A. L. & Rafols, I. 2014 Patent overlay mapping: visualizing technological distance. Journal of the American Society for Information Science and Technology 65 (12), 24322443.
Kogler, D. F., Rigby, D. L. & Tucker, I. 2013 Mapping knowledge space and technological relatedness in US cities. European Planning Studies 21 (9), 13741391.
Leydesdorff, L., Kushnir, D. & Rafols, I. 2014 Interactive overlay maps for US patent (USPTO) data based on international patent classifications (IPC). Scientometrics 98 (3), 15831599.
Linsey, J. S. 2007 Design-by-analogy and representation in innovative engineering concept generation.
Linsey, J. S., Tseng, I., Fu, K., Cagan, J., Wood, K. L. & Schunn, C. 2010 A study of design fixation, its mitigation and perception in engineering design faculty. Journal of Mechanical Design 132 (4), 41003.
Luo, J. 2015 The united innovation process: integrating science, design, and entrepreneurship as sub-processes. Design Science 1; doi:10.1017/dsj.2015.2.
Mcadams, D. A. & Wood, K. L. 2002 A quantitative similarity metric for design-by-analogy. Journal of Mechanical Design 124 (2), 173182.
Mukherjea, S., Bamba, B. & Kankar, P. 2005 Information retrieval and knowledge discovery utilizing a biomedical patent semantic web. IEEE Transactions on Knowledge and Data Engineering 17 (8), 10991110.
Murphy, J., Fu, K., Otto, K., Yang, M., Jensen, D. & Wood, K. 2014 Function based design-by-analogy: a functional vector approach to analogical search. Journal of Mechanical Design 136 (10), 101102.
Newman, M. E. 2006 Modularity and community structure in networks. Proceedings of National Academy of Sciences, USA 103 (23), 85778582.
Pahl, G. & Beitz, W. 2013 Engineering Design: A Systematic Approach (ed. Wallace, K.). Springer Science & Business Media.
Qian, L. & Gero, J. S. 1996 Function-behavior-structure paths and their role in analogy-based design. In Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 10(4), pp. 289312.
Sarkar, P. & Chakrabarti, A. 2011 Assessing design creativity. In Design Studies, pp. 136. Elsevier.
Shah, J. M., Li, Y. L., Gessmann, T. & Schubert, E. F. 2003 Experimental analysis and theoretical model for anomalously high ideality factors (n2.0) in AlGaN/GaN p-n junction diodes. Journal of Applied Physics 94 (4), 26272630.
Small, H. 1973 Co-citation in the scientific literature: a new measure of the relationship between two documents. Journal of the Association for Information Science and Technology 24 (4), 265–169.
Song, B. & Luo, J. 2017 Mining patent precedents for data-driven design: the case of spherical rolling robots. Journal of Mechanical Design 139 (11), 111420.
Souili, A., Cavallucci, D., Rousselot, F. & Zanni, C. 2015 Starting from patents to find inputs to the problem graph model of IDM-TRIZ. Procedia Engineering 131, 150161.
Srinivasan, V., Song, B., Luo, J., Subburaj, K. & Rajesh, M. 2017a Investigating Effects of Stimuli on Ideation Outcomes. In DS 87-8 Proceedings of the 21st International Conference on Engineering Design (ICED 17) Vol 8: Human Behaviour in Design, Vancouver, Canada, Aug 21-25, 2017.
Srinivasan, V., Song, B., Luo, J., Subburaj, K. & Rajesh, M. 2017b Understanding effects of analogical distance on performance of. In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers.
Taura, T. & Yukari, N. 2012 Concept Generation for Design Creativity: A Systematized Theory and Methodology. Springer Science & Business Media; doi:10.1007/978-1-4471-4081-8.
Teece, D. J., Rumelt, R., Dosi, G. & Winter, S. 1994 Understanding corporate coherence: theory and evidence. Journal of Economic Behavior and Organization 23 (1), 130.
Trajtenberg, M. 1990 A penny for your quotes: patent citations and the value of innovations. The RAND Journal of Economics 21 (1 (Spring, 1990)), 172187; Published by: Wiley on behalf of RAND Corporation.
Ward, T. B. 1998 Analogical distance and purpose in creative thought: mental leaps versus mental hops. In Advances in Analogy Research: Integration of Theory and Data from the Cognitive, Computational, and Neural Sciences, pp. 221230. New Bulgarian University Press, Bulgaria.
Weisberg, R. W. 2006 Creativity: Understanding Innovation in Problem Solving, Science, Invention, and the Arts. John Wiley & Sons.
Wilson, J. O., Nelson, B. A., Rosen, D. & Yen, J. 2010 The effects of biological examples in idea generation. Design Studies 31 (2), 169186.
Wu, Y., Jin, R., Li, J. & Zhang, X. 2015 Robust local community detection: on free rider effect and its elimination. Proceedings of the International Conference on Very Large Data Bases (VLDB) 8 (7), 798809.
Yan, B. & Luo, J. 2017 Measuring technological distance for patent mapping. Journal of the Association for Information Science and Technology 68 (2), 423437.
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