Skip to main content

Do Analogies and Analogical Distance Influence Ideation Outcomes in Engineering Design?

  • Chapter
  • First Online:
Applied Cognitive Science and Technology

Abstract

The efficacy of using patents for stimulation to support creativity during the concept phase in engineering design is investigated through understanding: (a) the effects of patents for stimulation on generated concepts’ quantity, novelty, and quality and (b) the consequences of stimulating with patents from various distances of analogy on the generated concepts’ novelty and quality. A design experiment is devised in a design course, in which 105 students ideate without and with various patents to generate concepts of spherical robots. The principal observations are as follows: (a) stimulation with as compared to without patents yields more concepts, (b) stimulation with patents, other resources, or their combination as compared to no stimulation yields concepts of higher novelty, (c) stimulation with patents as compared to no patents yields concepts of higher quality, and (d) stimulation with patents, other resources, or their combination as compared to no stimulation yields concepts of higher quality, (e) when the analogical distance between patents and problem domains decreases, quality increases but novelty decreases.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Alstott, J., Triulzi, G., Yan, B., & Luo, J. (2016). Mapping technology space by normalizing patent networks. Scientometrics, 1–37. https://doi.org/10.1007/s11192-016-2107-y.

  • Altshuller, G. S. (1999). The innovation algorithm: TRIZ, systematic innovation and technical creativity. Technical Innovation Center, Inc.

    Google Scholar 

  • 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, 31–58. https://doi.org/10.1016/j.destud.2014.08.001

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Fantoni, G., Apreda, R., Dell’Orletta, F., & Monge, M. (2013). Automatic extraction of function-behaviour-state information from patents. Advanced Engineering Informatics, 27(3), 317–334.

    Article  Google Scholar 

  • French, M. (1988). Conceptual design for engineers (3rd ed.). Springer.

    Google Scholar 

  • 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(3), 31006.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Fu, K., Murphy, J., Yang, M., Otto, K., Jensen, D., & Wood, K. (2014). Design-by-analogy: Experimental evaluation of a functional analogy search methodology for concept generation improvement. Research in Engineering Design, 26(1), 77–95.

    Article  Google Scholar 

  • Gentner, D., & Markman, A. B. (1997). Structure mapping in analogy and similarity. American Psychologist, 52(1), 45–56.

    Article  Google Scholar 

  • Hall, B. H., Jaffe, A., & Trajtenberg, M. (2005). Market value and patent citations. The RAND Journal of Economics, 36(1): 16–38. http://www.jstor.org/stable/1593752.

  • Jaccard, P. (1901). Distribution de La Flore Alpine Dans Le Bassin Des Dranses et Dans Quelques Régions Voisines. Bulletin De La Societe Vaudoise Des Sciences Naturelles, 37, 241–272.

    Google Scholar 

  • 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), 984–1001.

    Google Scholar 

  • Koh, E. C. Y. (2013). Engineering design and intellectual property: Where do they meet. Research in Engineering Design, 24(4), 325–329. https://doi.org/10.1007/s00163-013-0153-5

    Article  Google Scholar 

  • Koh, E. C. Y. (2020a). Read the full patent or just the claims? Mitigating design fixation and design distraction when reviewing patent documents. Design Studies, 68, 34–57. https://doi.org/10.1016/j.destud.2020.02.001

    Article  Google Scholar 

  • Koh, E. C. Y. (2020b). Read the full patent or just the claims? Mitigating design fixation and design distraction when reviewing patent documents. Design Studies, 68, 34–57. https://doi.org/10.1016/j.destud.2020.02.001

    Article  Google Scholar 

  • Koh, E. C. Y., & De Lessio, M. P. (2018). Fixation and distraction in creative design: The repercussions of reviewing patent documents to avoid infringement. Research in Engineering Design, 29(3), 351–366. https://doi.org/10.1007/s00163-018-0290-y

    Article  Google Scholar 

  • Luo, J., Sarica, S., & Wood, K. L. (2021). Guiding data-driven design ideation by knowledge distance. Knowledge-Based Systems, 218, 106873. https://doi.org/10.1016/j.knosys.2021.106873

    Article  Google Scholar 

  • McAdams, D. A., & Wood, K. L. (2002). A quantitative similarity metric for design-by-analogy. Journal of Mechanical Design, 124(2), 173–182. https://doi.org/10.1115/1.1475317

    Article  Google Scholar 

  • 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), 1–16.

    Article  Google Scholar 

  • Oman, S. K., Tumer, I. Y., Wood, K., & Seepersad, C. (2013). A comparison of creativity and innovation metrics and sample validation through in-class design projects. Research in Engineering Design, 24(1), 65–92. https://doi.org/10.1007/s00163-012-0138-9

    Article  Google Scholar 

  • Pahl, G., Beitz, W., Feldhusen, J., & Grote, K. H. (2007). Engineering design: A systematic approach. Springer.

    Book  Google Scholar 

  • Sarica, S., Song, B., Luo, J., & Wood, K. L. (2021). Idea generation with Technology Semantic Network. AIEDAM, 1–19. https://doi.org/10.1017/S0890060421000020.

  • Sarkar, P., & Chakrabarti, A. (2011). Assessing design creativity. Design Studies, 32(4), 348–383. https://doi.org/10.1016/j.destud.2011.01.002

    Article  Google Scholar 

  • Shah, J., Vargas-Hernandez, N., & Smith, S. (2003). Metrics for measuring ideation effectiveness. Design Studies, 24(2), 111–134. https://doi.org/10.1016/S0142-694X(02)00034-0

    Article  Google Scholar 

  • Song, B., Srinivasan, V., & Luo, J. (2017). Patent stimuli search and its influence on ideation outcomes. Design Science, 3, 1–25. https://doi.org/10.1017/dsj.2017.27

    Article  Google Scholar 

  • Srinivasan, V., & Chakrabarti, A. (2011). An empirical evaluation of a framework for design for variety and novelty. In S. J. Culley, B. J. Hicks, T. C. McAloone, T. J. Howard, & P. J. Clarkson (Eds.), Proceedings of the 18th International Conference on Engineering Design (ICED11)—Impacting Society Through Engineering Design, Copenhagen (pp. 334–343).

    Google Scholar 

  • Srinivasan, V., & Chakrabarti, A. (2010). Investigating novelty-outcome relationships in engineering design. AI EDAM, 24(2), 161–178. https://doi.org/10.1017/S089006041000003X

    Article  Google Scholar 

  • Srinivasan, V., Chakrabarti, A., & Lindemann, U. (2015). An empirical understanding of use of internal analogies in conceptual design. AI EDAM, 29(2), 147–160. https://doi.org/10.1017/S0890060415000037

    Article  Google Scholar 

  • Teece, D. J., Rumelt, R., Dosi, G., & Winter, S. (1994). Understanding corporate coherence. Theory and evidence. Journal of Economic Behavior and Organiation, 23(1), 1–30.

    Google Scholar 

  • Trajtenberg, M. (1990). A penny for your quotes: Patent citations and the value of innovations. The Rand Journal of Economics, 21(1), 172–187. https://doi.org/10.2307/2555502

    Article  Google Scholar 

  • Ward, T. B. (1998). Analogical distance and purpose in creative thought: mental leaps versus mental hops. In K. J. Holyoak, D. Gentner, & B. N. Kokinov (Eds.), Advances in analogy research: Integration of theory and data from the cognitive, computational, and neural sciences (pp. 221–230). New Bulgarian University.

    Google Scholar 

  • Wilson, J. O., Rosen, D., Nelson, B. A., & Yen, J. (2010). The effects of biological examples in idea generation. Design Studies, 31(2), 169–186. https://doi.org/10.1016/j.destud.2009.10.003

    Article  Google Scholar 

  • Yan, B., & Luo, J. (2016). Measuring technological distance for patent mapping. Journal of the Association for Information Science and Technology, 68(2). https://doi.org/10.1002/asi.23664.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V. Srinivasan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Srinivasan, V. et al. (2023). Do Analogies and Analogical Distance Influence Ideation Outcomes in Engineering Design?. In: Mukherjee, S., Dutt, V., Srinivasan, N. (eds) Applied Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-99-3966-4_13

Download citation

Publish with us

Policies and ethics