Skip to main content

Brainstorming vs. Creative Design Reasoning: A Theory-Driven Experimental Investigation of Novelty, Feasibility and Value of Ideas

  • Conference paper
Design Computing and Cognition '14

Abstract

In industrial settings, brainstorming is seen as an effective technique for creativity in innovation processes. However, bulk of research on brainstorming is based on an oversimplified view of the creativity process. Participants are seen as idea generators and the process aims at maximizing the quantity of ideas produced, and the evaluation occurs post-process based on some originality and feasibility criteria. Design theories can help enrich this simplistic process model. The present study reports an experimental investigation of creativity process within the context of real-life design ideation task. Results lead to the rejection of the classical ‘quantity breeds quality’ hypothesis. Rather, we observe that successful groups are the ones who produce a few original propositions that hold great value for users while looking for ways to make those propositions feasible.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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.

    It should be noted, however, that their score on feasibility is average (fifth) and thus, their being second in overall is mostly due to the compensatory nature of the averages (e.g. a bad score can be compensated by a good one, and vice versa).

References

  1. Diehl M, Stroebe W (1987) Productivity loss in brainstorming groups: toward the solution of a riddle. J Pers Soc Psychol 53(3):497

    Article  Google Scholar 

  2. Stroebe W, Diehl M, Abakoumkin G (1992) The illusion of group effectivity. Personal Soc Psychol Bull 18(5):643–650

    Article  Google Scholar 

  3. Osborn AF (1953) Applied imagination, principles and procedures of creative thinking. Charles Scribner’s Sons, New York

    Google Scholar 

  4. Paulus PB, Brown VR (2003) Enhancing ideational creativity in groups. In: Paulus PB, Nijstad BA (eds) Group creativity: innovation through collaboration. Oxford University Press, New York, pp 110–136

    Google Scholar 

  5. Paulus PB, Nijstad BA (2003) Group creativity: innovation through collaboration. Oxford University Press, New York

    Book  Google Scholar 

  6. Mannix EA, Goncalo JA, Neale MA (2009) Creativity in groups, vol 12. Emerald Group Publishing, Bingley

    Google Scholar 

  7. Summers I, White DE (1976) Creativity techniques: toward improvement of the decision process. Acad Manag Rev 1(2):99–108

    Article  Google Scholar 

  8. De Bono E (1969) The mechanism of mind. Wiley Online Library

    Google Scholar 

  9. Hurt F (1994) Better brainstorming. Train Dev 48(11):57–59

    Google Scholar 

  10. Goldschmidt G (1991) The dialectics of sketching. Creat Res J 4(2):123–143

    Article  Google Scholar 

  11. Gero JS, Maher ML (1973) Modeling creativity and knowledge-based creative design. Lawrence Erlbaum, New Jersey

    Google Scholar 

  12. Logan B, Smithers T (1992) Creativity and design as exploration. In: Gero ML (eds) Modelling creation and knowledge-based design, J.S.a.M. Lawrence Erlbaum, New Jersey

    Google Scholar 

  13. Goel AK (1997) Design, analogy, and creativity. IEEE Expert 12(3):62–70

    Article  MathSciNet  Google Scholar 

  14. Dorst K, Cross N (2001) Creativity in the design process: co-evolution of problem–solution. Des Stud 22(5):425–437

    Article  Google Scholar 

  15. Le Masson P, Weil B, Hatchuel A (2010) Strategic management of innovation and design. Cambridge University Press, Cambridge

    Google Scholar 

  16. Yoshikawa H (1981) General design theory and a CAD system. In: Sata T, Warman E (eds) Man-machine communication in CAD/CAM. North Holland Publishing, Amsterdam

    Google Scholar 

  17. Takeda H, Veerkamp P, Tomiyama T (1990) Modeling design processes. AI Mag 11(4):37–48

    Google Scholar 

  18. Salustri FA (1996) A formal theory for knowledge-based product model representation. in 2nd IFIP Knowledge Intensive CAD workshop.

    Google Scholar 

  19. Hendriks L, Kazakci A (2010) Imagining future knowledge, logic and interactive rationality. The Institute for Logic, Language and Computation, University of Amsterdam

    Google Scholar 

  20. Hatchuel A, Weil B (2009) C-K design theory: an advanced formulation. Res Eng Des 19(4):181–192

    Article  Google Scholar 

  21. Maimon O, Braha D (1996) A mathematical theory of design. Int J Gen Syst 27(4–5):275–318

    Google Scholar 

  22. Braha D, Reich Y (2003) Topological structures for modelling engineering design processes. Res Eng Des 14:185–199

    Article  Google Scholar 

  23. Gero JS (1990) Design prototypes: a knowledge representation schema for design. AI Mag 11:26–36

    Google Scholar 

  24. Kazakci A (2013) On the imaginative constructivist nature of design: a theoretical approach. Res Eng Des 24(2):127–145

    Article  Google Scholar 

  25. Rietzschel EF, De Dreu KW, Nijstad BA (2009) What are we talking about, when we talk about creativity? Group creativity as a multifaceted, multistage phenomenon. In: Mannix E, Neale M, Goncalo JA (eds) Creativity in groups. Emerald Group Publishing, Bingley, UK

    Google Scholar 

  26. Reinig BA, Briggs RO (2008) On the relationship between idea-quantity and idea-quality during ideation. Group Decis Negot 17(5):403–420

    Article  Google Scholar 

  27. Torrance EP (1962) Guiding creative talent. Prentice Hall, Englewood Cliffs

    Book  Google Scholar 

  28. Guilford J (1967) Creativity: yesterday, today and tomorrow. J Creat Behav 1(1):3–14

    Article  Google Scholar 

  29. Amabile TM (1996) Creativity and innovation in organizations. Harvard Business School, Cambridge

    Google Scholar 

  30. Förster J, Friedman RS, Liberman N (2004) Temporal construal effects on abstract and concrete thinking: consequences for insight and creative cognition. J Pers Soc Psychol 87(2):177

    Article  Google Scholar 

  31. Nijstad BA, Stroebe W, Lodewijkx HF (2003) Production blocking and idea generation: does blocking interfere with cognitive processes? J Exp Soc Psychol 39(6):531–548

    Article  Google Scholar 

  32. Rietzschel EF, Nijstad BA, Stroebe W (2007) Relative accessibility of domain knowledge and creativity: the effects of knowledge activation on the quantity and originality of generated ideas. J Exp Soc Psychol 43(6):933–946

    Article  Google Scholar 

  33. Williams WM, Sternberg RJ (1988) Group intelligence: why some groups are better than others. Intelligence 12(4):351–377

    Article  Google Scholar 

  34. Rowatt WC, Nesselroade K, Beggan JK et al (1997) Perceptions of brainstorming in groups: the quality over quantity hypothesis. J Creat Behav 31(2):131–150

    Article  Google Scholar 

  35. Paulus P (2013) Intervievw on group creativity. Creat Innov Manag 22(1):96–99

    Article  Google Scholar 

  36. Rietzschel EF, Nijstad BA, Stroebe W (2010) The selection of creative ideas after individual idea generation: choosing between creativity and impact. Br J Psychol 101(1):47–68

    Article  Google Scholar 

  37. Girorta K, Terwiesch C, Ulrich KT (2008) Idea generation and the quality of the best idea. Working paper

    Google Scholar 

  38. Dunbar K, Blanchette I (2001) The in vivo/in vitro approach to cognition: the case of analogy. TRENDS Cogn Sci 5(8):334–339

    Article  Google Scholar 

  39. Ericsson KA, Simon HA (1985) Protocol analysis. MIT Press, Cambridge

    Google Scholar 

  40. Rust RT, Cooil B (1994) Reliability measures for qualitative data: theory and implications. J Mark Res 31:1–14

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Akin O. Kazakci .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Kazakci, A.O., Gillier, T., Piat, G., Hatchuel, A. (2015). Brainstorming vs. Creative Design Reasoning: A Theory-Driven Experimental Investigation of Novelty, Feasibility and Value of Ideas. In: Gero, J., Hanna, S. (eds) Design Computing and Cognition '14. Springer, Cham. https://doi.org/10.1007/978-3-319-14956-1_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-14956-1_10

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14955-4

  • Online ISBN: 978-3-319-14956-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics