Neuroscience of Creativity in Human Computer Interaction

  • Ali AlgarniEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1069)


Human computer interaction (HCI) has a rapid growth in designing creative systems and AI agents. The neuroscience of creativity uses different imaging systems, such as electroencephalogram (EEG), to visualize and interpret the brain activations with respect to creativity. This paper presents a survey on the contribution of the neuroscience of creativity in HCI research. It covers two HCI areas, which are computational creativity and brain computer interfaces (BCI). Computational creativity includes two categories: creativity support tools (CST) and co-creative agents. The discussion section compares several studies in term creativity patterns, creative tasks, and neuroscience efforts. There are gaps between neuroscience of creativity and HCI that need more contributions. Future works include evaluating or developing CSTs, improving creative tasks used in computational creativity, or proposing neuroscience of creativity theories in designing creative systems.


Human computer interaction Computational creativity Brain computer interface Creativity Cognitive science Neuroscience 


  1. 1.
    Dietrich, A., Kanso, R.: A review of EEG, ERP, and neuroimaging studies of creativity and insight. Psychol. Bull. 136(5), 822–848 (2010)CrossRefGoogle Scholar
  2. 2.
    Davis, N.: An enactive approach to facilitate interactive machine learning for co-creative agents. In: Proceedings of the 2015 ACM SIGCHI C&C 2015, pp. 345–346 (2015)Google Scholar
  3. 3.
    Gabora, L.: Revenge of the ‘Neurds’: characterizing creative thought in terms of the structure and dynamics of memory. Creat. Res. J. 22(1), 1–13 (2010)CrossRefGoogle Scholar
  4. 4.
    Srinivasan, N.: Cognitive neuroscience of creativity: EEG based approaches. Methods 42, 109–116 (2007)CrossRefGoogle Scholar
  5. 5.
    Beaty, R.E., Benedek, M., Silvia, P.J., Schacter, D.L.: Creative cognition and brain network dynamics. Trends Cogn. Sci. 20(2), 87–95 (2017)CrossRefGoogle Scholar
  6. 6.
    Abraham, A., Windmann, S.: Creative cognition: the diverse operations and the prospect of applying a cognitive neuroscience perspective. Methods 42(1), 38–48 (2007)CrossRefGoogle Scholar
  7. 7.
    Beaty, R.E., Benedek, M., Wilkins, R.W., Jauk, E., Fink, A., Silvia, P.J., Hodges, D.A., Koschutnig, K., Neubauer, A.C.: Creativity and the default network: a functional connectivity analysis of the creative brain at rest. Neuropsychologia 64, 92–98 (2014)CrossRefGoogle Scholar
  8. 8.
    Fink, A., Benedek, M., Grabner, R.H., Staudt, B., Neubauer, A.C.: Creativity meets neuroscience: experimental tasks for the neuroscientific study of creative thinking. Methods 42(1), 68–76 (2007)CrossRefGoogle Scholar
  9. 9.
    Shneiderman, B.: Creativity support tools. Commun. ACM 45(10), 116–120 (2002)CrossRefGoogle Scholar
  10. 10.
    Shneiderman, B.: Creativity support tools: accelerating discovery and innovation. Commun. ACM 50(12), 20–32 (2007)CrossRefGoogle Scholar
  11. 11.
    Ellamil, M., Dobson, C., Beeman, M., Christoff, K.: Evaluative and generative modes of thought during the creative process. Neuroimage 59(2), 1783–1794 (2012)CrossRefGoogle Scholar
  12. 12.
    Fox, K., Girn, M., Parro, C., Christoff, K.: Functional neuroimaging of psychedelic experience: an overview of psychological and neural effects and their relevance to research on creativity, daydreaming, and dreaming. In: The Cambridge Handbook of the Neuroscience of Creativity, pp. 92–113 (2018)Google Scholar
  13. 13.
    Yoruk, S., Runco, M.A.: The neuroscience of divergent thinking. Activitas Nervosa Super. 56(1–2), 1–16 (2014)Google Scholar
  14. 14.
    Simonton, D.K.: Quantifying creativity: can measures span the spectrum? Dialogues Clin. Neurosci. 14(1), 100–104 (2012)Google Scholar
  15. 15.
    Farooq, U., Carroll, J.M., Ganoe, C.H.: Supporting creativity in distributed scientific communities. In: Proceedings of the 2005 International ACM SIGGROUP Conference on Supporting Group Work, pp. 217–226 (2005)Google Scholar
  16. 16.
    Dietrich, A.: The cognitive neuroscience of creativity. Psychon. Bull. Rev. 11(6), 1011–1026 (2004)CrossRefGoogle Scholar
  17. 17.
    Sawyer, K.: The cognitive neuroscience of creativity: a critical review. Creat. Res. J. 23(2), 137–154 (2011)MathSciNetCrossRefGoogle Scholar
  18. 18.
    Jung, R.E., Mead, B.S., Carrasco, J., Flores, R.A.: The structure of creative cognition in the human brain. Front. Hum. Neurosci. 7, 330 (2013)Google Scholar
  19. 19.
    Davis, N., Winnemöller, H., Dontcheva, M., Do, E.Y.L.: Toward a cognitive theory of creativity support. In: Proceedings of the 9th ACM Conference on Creativity & Cognition, pp. 13–22 (2013)Google Scholar
  20. 20.
    Carroll, E.A., Latulipe, C.: Triangulating the personal creative experience: self-report, external judgments, and physiology. In: Proceedings of Graphics Interface, pp. 53–60 (2012)Google Scholar
  21. 21.
    Ayaz, H., Izzetoglu, M., Bunce, S., Heiman-Patterson, T., Onaral, B.: Detecting cognitive activity related hemodynamic signal for brain computer interface using functional near infrared spectroscopy. In: 3rd International IEEE/EMBS Conference on Neural Engineering, pp. 342–345 (2007)Google Scholar
  22. 22.
    Gibson, C., Folley, B., Park, S.: Enhanced divergent thinking and creativity in musicians: a behavioral and near-infrared spectroscopy study. Brain Cogn. 69(1), 162–169 (2009)CrossRefGoogle Scholar
  23. 23.
    Kaimal, G., Ayaz, H., Herres, J., Dieterich-Hartwell, R., Makwana, B., Kaiser, D.H., Nasser, J.A.: Functional near-infrared spectroscopy assessment of reward perception based on visual self-expression: coloring, doodling, and free drawing. Arts Psychother. 55, 85–92 (2017)CrossRefGoogle Scholar
  24. 24.
    Davis, N., Hsiao, C.P., Singh, K.Y., Lin, B., Magerko, B.: Creative sense-making, quantifying interaction dynamics in co-creation. In: Proceedings of the 2017 ACM SIGCHI Conference on Creativity and Cognition - C&C 2017, pp. 356–366 (2017)Google Scholar
  25. 25.
    Kaufman, A.B., Kornilov, S.A., Bristol, A.S., Tan, M., Grigorenko, E.L.: The neurobiological foundation of creative cognition. In: The Cambridge Handbook of Creativity, pp. 216–232 (2010)Google Scholar
  26. 26.
    Goel, V.: Creative brains: designing in the real world. Front. Hum. Neurosci. 8, 241 (2014)CrossRefGoogle Scholar
  27. 27.
    Gabora, L.: Cognitive mechanisms underlying the creative process. In: Proceedings of the 4th Conference on Creativity & Cognition (2002)Google Scholar
  28. 28.
    Todd, D.A., McCullagh, P.J., Mulvenna, M.D., Lightbody, G.: Investigating the use of brain-computer interaction to facilitate creativity. In: Proceedings of the 3rd Augmented Human International Conference, p. 19 (2012)Google Scholar
  29. 29.
    Yuksel, B.F., Afergan, D., Peck, E.M., Griffin, G., Harrison, L., Chen, N.W., Chang, R., Jacob, R.J.: BRAAHMS: a novel adaptive musical interface based on users’ cognitive state. In: Proceedings of the International Conference on New Interfaces for Musical Expression, pp. 136–139 (2015)Google Scholar
  30. 30.
    Andujar, M., Crawford, C.S., Nijholt, A., Jackson, F., Gilbert, J.E.: Artistic brain-computer interfaces: the expression and stimulation of the user’s affective state. Brain-Comput. Interfaces 2(2–3), 60–69 (2015)CrossRefGoogle Scholar
  31. 31.
    Wu, X., He, M., Zhou, Y., Xiao, J., Luo, J.: Decomposing a chunk into its elements and reorganizing them as a new chunk: the two different sub-processes underlying insightful chunk decomposition. Front. Psychol. 8 (2017)Google Scholar

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.University of North Carolina at CharlotteCharlotteUSA

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