Skip to main content

Thinking Pattern in Concept Synthesis (2): Complexity of the Thinking Process

  • Chapter
  • First Online:
Concept Generation for Design Creativity
  • 1684 Accesses

Abstract

In this chapter, we conduct a computer simulation in order to capture the characteristics or patterns in concept synthesis, which may lead to a creative design idea. This approach employs a research framework called constructive simulation, which may be effective in investigating the generation of a concept—a process which is difficult to observe externally or internally. In the simulation, first, the virtual concept synthesis process is constructed on a semantic network by tracing the relationships between its governing concepts. Next, the relevance of the constructed process is confirmed by using its network structure. The statistical results indicate that the thinking process in which both explicit and ‘inexplicit’ concepts are ‘intricately intertwined’ may lead to a creative design idea.

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
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

Notes

  1. 1.

    Program for large network analysis (version 1.23). http://vlado.fmf.uni-lj.si/pub/networks/pajek/. Accessed 24 December 2008.

References

  1. Amabile TA (1996) Creativity in context: update to the social psychology of creativity. Westview Press, New York

    Google Scholar 

  2. Andreasen MM (1994) Modelling—the language of the designer. J Eng Des 5:103–115

    Article  Google Scholar 

  3. Brown DC (2010) The curse of creativity. In: Gero JS (ed) Design computing and cognition ‘10. Springer, London

    Google Scholar 

  4. Cancho RFI, Solé RV (2001) The small world of human language. Proc R Soc Lond 268:2261–2265. doi:10.1098/rspb.2001.1800

    Article  Google Scholar 

  5. Chiu I, Shu LH (2007) Using language as related stimuli for concept generation. AI EDAM 21:103–121. doi:10.1017/S0890060407070175

    Google Scholar 

  6. Cross N (2006) Designerly ways of knowing. Birkhäuser, Basel

    Google Scholar 

  7. Coyne RD, Newton S, Sudweeks F (1993) A connectionist view of creative design reasoning. In: Gero JS, Maher ML (eds) Modeling creativity and knowledge-based creative design. Hillsdale, New Jersey

    Google Scholar 

  8. Csikszentmihalyi M (1990) Flow: the psychology of optimal experience. Harper & Row, New York

    Google Scholar 

  9. Dong A (2006) Concept formation as knowledge accumulation: a computational linguistics study. AI EDAM 20:35–53. doi:10.1017/S0890060406060033

    Google Scholar 

  10. Ericsson KA, Simon HA (1984) Protocol analysis: verbal reports as data. The MIT Press, Cambridge

    Google Scholar 

  11. Fauconnier G, Turner M (2003) Polysemy and conceptual blending. In: Nerlich B, Todd Z, Herman V, Clarke DD (eds) Polysemy: flexible patterns of meaning in mind and language. Mouton de Gruyter, Berlin

    Google Scholar 

  12. Fellbaum C (1998) WordNet: an electronic lexical database. The MIT Press, Cambridge

    MATH  Google Scholar 

  13. Finke RA, Ward TB, Smith SM (1992) Creative cognition: theory, research, and applications. The MIT Press, Cambridge

    Google Scholar 

  14. Georgiev GV, Taura T, Chakrabarti A, Nagai Y (2008) Method of design through structuring of meanings. In: Proceedings of ASME 2008 international design engineering technical conference and computers and information in engineering conference. Brooklyn, New York, 3–6 August (CD-ROM)

    Google Scholar 

  15. Goldschmidt G (1990) Linkography: assessing design productivity. In: Trappl R (ed) Cybernetics and systems 90. World Scientific, Singapore, pp 291–298

    Google Scholar 

  16. Higginbotham J (2002) On linguistics in philosophy, and philosophy in linguistics. Ling Philos 25:573–584. doi:10.1023/A:1020891111450

    Article  Google Scholar 

  17. Kan JWT, Gero JS (2008) Acquiring information from linkography in protocol studies of designing. Des Stud 29:315–337. doi:10.1016/j.destud.2008.03.001

    Article  Google Scholar 

  18. Kokotovich V (2008) Problem analysis and thinking tools: an empirical study of non-hierarchical mind mapping. Des Stud 29:49–69. doi:10.1016/j.destud.2007.09.001

    Article  Google Scholar 

  19. Loewenstein G (1994) The psychology of curiosity: a review and reinterpretation. Psychol Bull 116:75–98. doi:10.1037/0033-2909.116.1.75

    Article  Google Scholar 

  20. Nagai Y, Noguchi H (2004) An experimental study on the design thinking process started from difficult keywords: modelling the thinking process of creative design. J Eng Des 14:429–437. doi:10.1080/09544820310001606911

    Article  Google Scholar 

  21. Nagai Y, Taura T (2010) Discussion on direction of design creativity research (part 2)—research issues and methodologies: from the viewpoint of deep feelings and desirable figure. In: Taura T, Nagai Y (eds) Design creativity 2010. Springer, London

    Google Scholar 

  22. Nagel RL, Hutcheson R, McAdams DA, Stone R (2011 online 2009) Process and event modelling for conceptual design. J Eng Des 22:145–164. doi:10.1080/09544820903099575

    Article  Google Scholar 

  23. Okamoto J, Ishizaki S (2001) Associative concept dictionary construction and its comparison with electronic concept dictionaries. In: Proceedings of the Pacific Association for computational linguistics conference 2001. Kitakyushu, Japan, 11–14 Sept, pp 214–220

    Google Scholar 

  24. Reingold EM, Ray CA (2002) Implicit cognition. In: Nadel L (ed) Encyclopedia of cognitive science. Nature Publishing Group, London

    Google Scholar 

  25. Schilling MA (2005) A ‘small-world’ network model of cognitive insight. Creativ Res J 17:131–154. doi:10(1080/10400419),2005,9651475

    Google Scholar 

  26. Searle J (1975) Indirect speech acts. In: Cole P, Morgan JL (eds) Syntax and semantics, vol 3. Speech Acts. Academic Press, New York

    Google Scholar 

  27. Steyvers M, Tenenbaum JB (2005) The large-scale structure of semantic networks: statistical analyses and a model of semantic growth. Cognit Sci 29:41–78. doi:10.1207/s15516709cog2901_3

    Article  Google Scholar 

  28. Taura T, Yamamoto E, Fasiha MYN, Goka M, Nagai Y, Nakashima H (2011) Trial of a constructive research method for the creative thinking process in design—constructive simulation of the concept generation process. Cognit Stud 18:329–341 (in Japanese)

    Google Scholar 

  29. van der Lught R (2002) Functions of sketching in design idea generation meetings. In: Proceedings of the 4th conference on creativity & cognition. Loughborough, UK, 13–16 Oct, pp 72–79. doi: 10.1145/581710.581723

  30. Varela FJ, Thompson E, Rosch E (1997) The embodied mind: cognitive science and human experience. The MIT Press, Cambridge

    Google Scholar 

  31. Ward TB, Patterson MJ, Sifonis CM (2004) The role of specificity and abstraction in creative idea generation. Creativ Res J 16:1–9. doi:10.1207/s15326934crj1601_1

    Article  Google Scholar 

  32. Weisberg RW (1986) Creativity: genius and other myths. WH Freeman and Company, New York

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag London

About this chapter

Cite this chapter

Taura, T., Nagai, Y. (2013). Thinking Pattern in Concept Synthesis (2): Complexity of the Thinking Process. In: Concept Generation for Design Creativity. Springer, London. https://doi.org/10.1007/978-1-4471-4081-8_7

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-4081-8_7

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4080-1

  • Online ISBN: 978-1-4471-4081-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics