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Shifting between modes of thought: a mechanism underlying creative performance?

Published:03 November 2011Publication History

ABSTRACT

Creative-cognition has been viewed as involving both divergent and convergent modes of thought, with the former involved in generating new ideas and the latter in honing them into useful and appropriate outcomes [3]. It has been suggested that the ability to efficiently shift between modes may be an important feature underlying the capacity to be creative [4,6], and possibly, of particular importance in professions such as design [10]. However current measures of convergent and divergent thinking do not allow an examination of the dynamic deployment of these different modes on the same task. The present paper outlines a novel behavioral task examining dynamic shifts between modes of thinking, with pilot data tentatively suggesting more creative people are better able to shift between modes than less creative people. A better understanding of the link between shifting and creativity could inform the design of computer-based environments to facilitate shifting between modes [5].

References

  1. Bowden, E. M., & Jung-Beeman, M. Normative data for 144 compound remote associate problems. Behavior Research Methods, Instruments, & Computers 35, 4 (2003), 634--639.Google ScholarGoogle Scholar
  2. Carson, S. H., Peterson, J. B., & Higgins, D. M. Reliability, validity, and factor structure of the creative achievement questionnaire. Creativity Research Journal 17, 1 (2005), 37--50.Google ScholarGoogle ScholarCross RefCross Ref
  3. Cropley, A. In praise of convergent thinking. Creativity Research Journal 18, 3 (2006), 391--404.Google ScholarGoogle ScholarCross RefCross Ref
  4. Gabora, L. Revenge of the "neurds": Characterizing creative thought in terms of the structure and dynamics of memory. Creativity Research Journal 22,1 (2010), 1--13.Google ScholarGoogle ScholarCross RefCross Ref
  5. Hewett, T.T. Informing the design of computer-based environments to support creativity. International Journal of Human-Computer Studies 63 (2005), 383--409. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Howard-Jones, P. A. A dual-state model of creative cognition for supporting strategies that foster creativity in the classroom. International Journal of Technology and Design Education 12 (2002), 215--226.Google ScholarGoogle ScholarCross RefCross Ref
  7. Howard-Jones, P. A., & Murray, S. Ideational productivity, focus of attention, and context. Creativity Research Journal 15, 2 (2003), 153--166.Google ScholarGoogle ScholarCross RefCross Ref
  8. Jansson, D. G., & Smith, S. M. Design fixation. Design Studies 12, 1 (1991), 3--11.Google ScholarGoogle ScholarCross RefCross Ref
  9. Krug, R., Molle, M., Dodt, C., Fehm, H., & Born, J. Acute influences of estrogen and testosterone on divergent and convergent thinking in postmenopausal women. Neuropsychopharmacology 28, 8 (2003), 1538--1545.Google ScholarGoogle ScholarCross RefCross Ref
  10. Lawson, B. How designers think: The design process demystified. Architectural press, Oxford, UK, 2006.Google ScholarGoogle Scholar
  11. Wild, C. Creativity and adaptive regression. Journal of Personality and Social Psychology 2, 2 (1965), 161--169.Google ScholarGoogle ScholarCross RefCross Ref

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    • Published in

      cover image ACM Conferences
      C&C '11: Proceedings of the 8th ACM conference on Creativity and cognition
      November 2011
      492 pages
      ISBN:9781450308205
      DOI:10.1145/2069618
      • General Chair:
      • Ashok K. Goel,
      • Program Chairs:
      • Fox Harrell,
      • Brian Magerko,
      • Yukari Nagai,
      • Jane Prophet

      Copyright © 2011 Author

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 3 November 2011

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