Flow in Creativity: A Review of Potential Theoretical Conflict

  • Genevieve M. Cseh


This chapter reviews both qualitative and experimental research, arguing that some theories surrounding flow are potentially contradictory to theories of creativity. Dual-process thought systems and hypofrontality theories are discussed in relation to creativity and flow, highlighting omissions in research to date, and the need for further empirical investigation of creativity in flow. Four specific areas for future research are proposed: (1) a more in-depth understanding of self-evaluative mechanisms during flow, and the relevance of clear goals and feedback within creative domains; (2) whether flow during deliberate forms of creativity is possible and whether this contradicts hypofrontality theories; (3) the complex relationship between creativity, affect, and flow; and (4) whether and how flow relates to creative achievement.


Flow Creativity Hypofrontality theory Feedback Self-evaluation Dual-process thought Affect 


  1. Adee, S. (2012, February 6). Zap your brain into the zone: Fast track to pure focus. New Scientist, 2850. Accessed 15 Jan 2015.
  2. Akbari Chermahini, S., & Hommel, B. (2012). Creative mood swings: Divergent and convergent thinking affect mood in opposite ways. Psychological Research, 76, 634–640. doi: 10.1007/s00426-011-0358-z.PubMedCrossRefGoogle Scholar
  3. Allen, A. P., & Thomas, K. E. (2011). A dual process account of creative thinking. Creativity Research Journal, 23(2), 109–118. doi: 10.1080/10400419.2011.571183.CrossRefGoogle Scholar
  4. Amabile, T. M., & Gitomer, J. (1984). Children’s artistic creativity: Effects of choice in task materials. Personality and Social Psychology Bulletin, 10(2), 209–215. doi: 10.1177/0146167284102006.CrossRefGoogle Scholar
  5. Asakawa, K. (2010). Flow experience, culture, and well-being: How do autotelic Japanese college students feel, behave, and think in their daily lives? Journal of Happiness Studies, 11(2), 205–223. doi: 10.1007/s10902-008-9132-3.CrossRefGoogle Scholar
  6. Baas, M., De Dreu, C. K. W., & Nijstad, B. A. (2008). A meta-analysis of 25 years of mood-creativity research: Hedonic tone, activation, or regulatory focus? Psychological Bulletin, 134(6), 779–806. doi: 10.1037/a0012815.PubMedCrossRefGoogle Scholar
  7. Bakker, A. B. (2005). Flow among music teachers and their students: The crossover of peak experiences. Journal of Vocational Behavior, 66, 26–44. doi: 10.1016/j.jvb.2003.11.001.CrossRefGoogle Scholar
  8. Banfield, J., & Burgess, M. (2013). A phenomenology of artistic doing: Flow as embodied knowing in 2D and 3D professional artists. Journal of Phenomenological Psychology, 44(1), 60–91. doi: 10.1163/15691624-12341245.CrossRefGoogle Scholar
  9. Beveridge, W. I. B. (1957). The art of scientific investigation. New York: W. W. Norton & Company.CrossRefGoogle Scholar
  10. Chen, J. (2007). Flow in games (and everything else). Communications of the ACM, 50(4), 31–34. doi: 10.1145/1232743.1232769.CrossRefGoogle Scholar
  11. Chi, R. P., & Snyder, A. W. (2011). Facilitate insight by non-invasive brain stimulation. PloS One, 6(2), e16655. doi: 10.1371/journal.pone.0016655.PubMedPubMedCentralCrossRefGoogle Scholar
  12. Chilton, G. (2013). Art therapy and flow: A review of the literature and applications. Art Therapy, 30(2), 64–70. doi: 10.1080/07421656.2013.787211.CrossRefGoogle Scholar
  13. Clark, V. P., Coffman, B. A., Mayer, A. R., Weisend, M. P., Lane, T. D. R., Calhoun, V. D., et al. (2012). TDCS guided using fMRI significantly accelerates learning to identify concealed objects. NeuroImage, 59(1), 117–128. doi: 10.1016/j.neuroimage.2010.11.036.PubMedCrossRefGoogle Scholar
  14. Colzato, L. S., Ozturk, A., & Hommel, B. (2012). Meditate to create: The impact of focused-attention and open-monitoring training on convergent and divergent thinking. Frontiers in Psychology, 3, 116. doi: 10.3389/fpsyg.2012.00116.PubMedPubMedCentralGoogle Scholar
  15. Comadena, M. E. (1984). Brainstorming groups: Ambiguity tolerance, communication apprehension, task attraction, and individual productivity. Small Group Research, 15(2), 251–264. doi: 10.1177/104649648401500207.CrossRefGoogle Scholar
  16. Cseh, G. M., Phillips, L. H., & Pearson, D. G. (2015a). Flow, affect, and visual creativity. Cognition and Emotion, 29(2), 281–291. doi: 10.1080/02699931.2014.913553.PubMedCrossRefGoogle Scholar
  17. Cseh, G. M., Phillips, L. H., & Pearson, D. G. (2015b). Mental and perceptual feedback in the development of creative flow. Manuscript submitted for publication.Google Scholar
  18. Csíkszentmihályi, M. (1975). Beyond boredom and anxiety. San Francisco: Jossey-Bass.Google Scholar
  19. Csíkszentmihályi, M. (1988). The future of flow. In M. Csíkszentmihályi & I. S. Csíkszentmihályi (Eds.), Optimal experience: Psychological studies of flow in consciousness (pp. 364–383). Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  20. Csíkszentmihályi, M. (1996). Creativity: Flow and the psychology of discovery and invention. New York: Harper Perennial.Google Scholar
  21. Csíkszentmihályi, M. (2002). Flow: The classic work on how to achieve happiness (Rev. ed.). London: Rider.Google Scholar
  22. Csíkszentmihályi, M., & Csíkszentmihályi, I. S. (1988). Introduction to part IV. In M. Csíkszentmihályi & I. S. Csíkszentmihályi (Eds.), Optimal experience: Psychological studies of flow in consciousness (pp. 251–265). Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  23. Csíkszentmihályi, M., Abuhamdeh, S., & Nakamura, J. (2005). Flow. In A. Elliot (Ed.), Handbook of competence and motivation (pp. 598–608). New York: The Guilford Press.Google Scholar
  24. de Manzano, O., Theorell, T., Harmat, L., & Ullén, F. (2010). The psychophysiology of flow during piano playing. Emotion, 10(3), 301–311.PubMedCrossRefGoogle Scholar
  25. Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. New York: Plenum.CrossRefGoogle Scholar
  26. Delle Fave, A., Massimini, F., & Bassi, M. (Eds.). (2011). The phenomenology of optimal experience in daily life. In Psychological selection and optimal experience across cultures: Cross-cultural advancements in positive psychology 2 (Vol. 2, pp. 89–110). Dordrecht: Springer. doi: 10.1007/978-90-481-9876-4
  27. Dewey, J. (1934). Art as experience. New York: Putnam.Google Scholar
  28. Dietrich, A. (2004a). Neurocognitive mechanisms underlying the experience of flow. Consciousness and Cognition, 13(4), 746–761. doi: 10.1016/j.concog.2004.07.002.PubMedCrossRefGoogle Scholar
  29. Dietrich, A. (2004b). The cognitive neuroscience of creativity. Psychonomic Bulletin and Review, 11(6), 1011–1026.PubMedCrossRefGoogle Scholar
  30. Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109–132.PubMedCrossRefGoogle Scholar
  31. Engeser, S., & Schiepe-Tiska, A. (2012). Historical lines and an overview of current research on flow. In S. Engeser (Ed.), Advances in flow research (pp. 1–22). New York: Springer. doi: 10.1007/978-1-4614-2359-1_1.CrossRefGoogle Scholar
  32. Finke, R. A. (1990). Creative imagery: Discoveries and inventions in visualization. Hillsdale: Laurence Erlbaum Associates.Google Scholar
  33. Finke, R. A., & Slayton, K. (1988). Explorations of creative visual synthesis in mental imagery. Memory and Cognition, 16(3), 252–257.PubMedCrossRefGoogle Scholar
  34. Finke, R. A., Ward, T. B., & Smith, S. M. (1992). Creative cognition: Theory, research, and applications. Cambridge, MA: MIT Press.Google Scholar
  35. Fox, D. (2011). Brain buzz. Nature, 472, 156–158. Accessed 15 Jan 2015.
  36. Fredrickson, B. L. (2001). The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. American Psychologist, 56(3), 218–226. doi: 10.1037/0003-066X.56.3.218 PubMedPubMedCentralCrossRefGoogle Scholar
  37. Ghiselin, B. (1952). The creative process: A symposium. Berkeley: University of California Press.Google Scholar
  38. Gilhooly, K. (1996). Thinking: Directed, undirected, and creative (3rd ed.). San Diego: Academic.Google Scholar
  39. Gilhooly, K., & Murphy, P. (2005). Differentiating insight from non-insight problems. Thinking and Reasoning, 11(3), 279–302. doi: 10.1080/13546780442000187.CrossRefGoogle Scholar
  40. Glăveanu, V. P. (2013). Rewriting the language of creativity: The five A’s framework. Review of General Psychology, 17(1), 69–81. doi: 10.1037/a0029528.CrossRefGoogle Scholar
  41. Gruzelier, J., Inoue, A., Smart, R., Steed, A., & Steffert, T. (2010). Acting performance and flow state enhanced with sensory-motor rhythm neurofeedback comparing ecologically valid immersive VR and training screen scenarios. Neuroscience Letters, 480(2), 112–116. doi: 10.1016/j.neulet.2010.06.019.PubMedCrossRefGoogle Scholar
  42. Iyengar, S. S., & Lepper, M. R. (2000). When choice is demotivating: Can one desire too much of a good thing? Journal of Personality and Social Psychology, 79(6), 995–1006.PubMedCrossRefGoogle Scholar
  43. Jackson, S. A., & Csíkszentmihályi, M. (1999). Flow in sports: The keys to optimal experiences and performances. Champaign: Human Kinetics.Google Scholar
  44. Jackson, S. A., & Kimiecik, J. (2008). The flow perspective of optimal experience in sport and physical activity. In T. S. Horn (Ed.), Advances in sport psychology (3rd ed., pp. 377–399). Champaign: Human Kinetics.Google Scholar
  45. Jackson, S. A., Thomas, P. R., Marsh, H. W., & Smethurst, C. (2001). Relationships between flow, self-concept, psychological skills, and performance. Journal of Applied Sport Psychology, 13, 129–153.CrossRefGoogle Scholar
  46. Jackson, S. A., Eklund, R. C., & Martin, A. (2010). The flow manual: The manual for the flow scales. Menlo Park: Mind Garden.Google Scholar
  47. Joy, S. P., & Furman, L. (2014, August). Progressive change in formal qualities of art produced over the course of frontotemporal dementia. Paper presented at the annual meeting of the American Psychological Association, Washington, DC. Accessed 15 Jan 2015.
  48. Kaufmann, G., & Vosberg, S. K. (1997). ‘Paradoxical’ mood effects on creative problem-solving. Cognition and Emotion, 11(2), 151–170. doi: 10.1080/026999397379971.CrossRefGoogle Scholar
  49. Keller, J., & Bless, H. (2008). Flow and regulatory compatibility: An experimental approach to the flow model of intrinsic motivation. Personality and Social Psychology Bulletin, 34, 196–209. doi: 10.1177/0146167207310026.PubMedCrossRefGoogle Scholar
  50. Keller, J., & Blomann, F. (2008). Locus of control and the flow experience: An experimental analysis. European Journal of Personality, 22(7), 589–607. doi: 10.1002/per.692.CrossRefGoogle Scholar
  51. Keller, J., & Landhäußer, A. (2012). The flow model revisited. In S. Engeser (Ed.), Advances in flow research (pp. 51–64). New York: Springer. doi: 10.1007/978-1-4614-2359-1_3.CrossRefGoogle Scholar
  52. Koestler, A. (1964). The act of creation. London: Hutchinson.Google Scholar
  53. Kotler, S. (2014, July 28). Innovation turbo-charge: How to train the brain to be more creative. Forbes. Accessed 15 Jan 2015.
  54. Kozbelt, A. (2007). A quantitative analysis of Beethoven as self-critic: Implications for psychological theories of musical creativity. Psychology of Music, 35(1), 144–168. doi: 10.1177/0305735607068892.CrossRefGoogle Scholar
  55. Landhäußer, A., & Keller, J. (2012). Flow and its affective, cognitive, and performance-related consequences. In S. Engeser (Ed.), Advances in flow research (pp. 65–86). New York: Springer. doi: 10.1007/978-1-4614-2359-1_4.CrossRefGoogle Scholar
  56. MacDonald, R., Byrne, C., & Carlton, L. (2006). Creativity and flow in musical composition: An empirical investigation. Psychology of Music, 34(3), 292–306. doi: 10.1177/0305735606064838.CrossRefGoogle Scholar
  57. Massimini, F., Csíkszentmihályi, M., & Delle Fave, A. (1988). Flow and biocultural evolution. In M. Csíkszentmihályi & I. S. Csíkszentmihályi (Eds.), Optimal experience: Psychological studies of flow in consciousness (pp. 60–81). Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  58. Merrotsy, P. (2013). Tolerance of ambiguity: A trait of the creative personality? Creativity Research Journal, 25(2), 232–237. doi: 10.1080/10400419.2013.783762.CrossRefGoogle Scholar
  59. Moneta, G. B. (2012). On the measurement and conceptualization of flow. In S. Engeser (Ed.), Advances in flow research (pp. 23–50). New York: Springer. doi: 10.1007/978-1-4614-2359-1_2.CrossRefGoogle Scholar
  60. Mumford, M. D. (2003). Where have we been, where are we going? Taking stock in creativity research. Creativity Research Journal, 15(2–3), 107–120. doi: 10.1080/10400419.2003.9651403.CrossRefGoogle Scholar
  61. Murphy, S. (1996). The achievement zone. New York: Berkley.Google Scholar
  62. Nakamura, J., & Csíkszentmihályi, M. (2005). The concept of flow. In C. R. Snyder & S. Lopez (Eds.), Handbook of positive psychology (pp. 89–105). Oxford: Oxford University Press.Google Scholar
  63. Oliverio, A. (2008). Brain and creativity. Progress of Theoretical Physics Supplement, 173, 66–78. doi: 10.1143/PTPS.173.66.CrossRefGoogle Scholar
  64. Payne, J. W. (1976). Task complexity and contingent processing in decision making: An information search and protocol analysis. Organizational Behavior and Human Performance, 16(2), 366–387. doi: 10.1016/0030-5073(76)90022-2.CrossRefGoogle Scholar
  65. Perkins, D. N. (1981). The mind’s best work. Cambridge, MA: Harvard University Press.Google Scholar
  66. Plato. (2009). Ion (trans: Jowett, B.). The internet classics archive (Original work published ca. 380 B.C.E.). Accessed 15 Jan 2015.
  67. Privette, G., & Bundrick, C. M. (1991). Peak experience, peak performance, and flow: Correspondence of personal descriptions and theoretical constructs. Journal of Social Behavior and Personality, 6(5), 169–188.Google Scholar
  68. Reynolds, F., & Prior, S. (2006). Creative adventures and flow in art-making: A qualitative study of women living with cancer. British Journal of Occupational Therapy, 69(6), 1–8.CrossRefGoogle Scholar
  69. Rheinberg, F., & Vollmeyer, R. (2003). Flow-erleben in einem Computerspiel unter experimentell variierten Bedingungen [Flow experience in a computer game under experimentally controlled conditions]. Zeitschrift für Psychologie, 211, 161–170.CrossRefGoogle Scholar
  70. Rogatko, T. P. (2007). The influence of flow on positive affect in college students. Journal of Happiness Studies, 10(2), 133–148. doi: 10.1007/s10902-007-9069-y.CrossRefGoogle Scholar
  71. Runco, M. A., & Chand, I. (1994). Problem finding, evaluative thinking, and creativity. In M. A. Runco (Ed.), Problem finding, problem solving, and creativity (pp. 40–76). Norwood: Ablex.Google Scholar
  72. Sawyer, R. K. (2006). Explaining creativity: The science of human innovation. Oxford: Oxford University Press.Google Scholar
  73. Schwartz, B. (2004). The paradox of choice: Why more is less. New York: Harper Collins.Google Scholar
  74. Simonton, D. K. (1988). Scientific genius: A psychology of science. Cambridge: Cambridge University Press.Google Scholar
  75. Simonton, D. K. (2000). Creative development as acquired expertise: Theoretical issues and an empirical test. Developmental Review, 20(2), 283–318. doi: 10.1006/drev.1999.0504.CrossRefGoogle Scholar
  76. Sternberg, R. J., Lubart, T. I., Kaufman, J. C., & Pretz, J. E. (2005). Creativity. In K. J. Holyoak & R. G. Morrison (Eds.), Cambridge handbook of thinking and reasoning (pp. 351–369). Cambridge: Cambridge University Press.Google Scholar
  77. Suwa, M., & Tversky, B. (1997). What do architects and students perceive in their design sketches? A protocol analysis. Design Studies, 18, 385–403.CrossRefGoogle Scholar
  78. Sweetser, P., & Wyeth, P. (2005). GameFlow: A model for evaluating player enjoyment in games. ACM Computers in Entertainment, 3(3), 1–24.CrossRefGoogle Scholar
  79. Timmermans, D. (1993). The impact of task complexity on information use in multi-attribute decision making. Journal of Behavioral Decision Making, 6, 95–111.CrossRefGoogle Scholar
  80. Young, J. A., & Pain, M. D. (1999). The zone: Evidence of a universal phenomenon for athletes across sports. Athletic Insight The Online Journal of Sport Psychology, 1(3), 21–30.Google Scholar
  81. Zenasni, F., Besançon, M., & Lubart, T. (2008). Creativity and tolerance of ambiguity: An empirical study. Journal of Creative Behavior, 42(1), 61–73. doi: 10.1002/j.2162-6057.2008.tb01080.x.CrossRefGoogle Scholar

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© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.School of Art, Design & FashionUniversity of Central LancashirePreston, LancashireUK

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