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Ignoring the role of reiterative processing and worldview transformation leads to exaggeration of the role of curiosity in creativity

Published online by Cambridge University Press:  21 May 2024

Liane Gabora*
Affiliation:
Department of Psychology, University of British Columbia Okanagan Campus, Fipke Centre for Innovative Research, University Way Kelowna BC, Canada liane.gabora@ubc.ca kirthana.ganesh@ubc.ca ianabashmakova@gmail.com https://gabora-psych.ok.ubc.ca
Kirthana Ganesh
Affiliation:
Department of Psychology, University of British Columbia Okanagan Campus, Fipke Centre for Innovative Research, University Way Kelowna BC, Canada liane.gabora@ubc.ca kirthana.ganesh@ubc.ca ianabashmakova@gmail.com https://gabora-psych.ok.ubc.ca
Iana Bashmakova
Affiliation:
Department of Psychology, University of British Columbia Okanagan Campus, Fipke Centre for Innovative Research, University Way Kelowna BC, Canada liane.gabora@ubc.ca kirthana.ganesh@ubc.ca ianabashmakova@gmail.com https://gabora-psych.ok.ubc.ca
*
*Corresponding author.

Abstract

The Novelty-Seeking Model does not address the iterative nature of creativity, and how it restructures one's worldview, resulting in overemphasis on the role of curiosity, and underemphasis on inspiration and perseverance. It overemphasizes the product; creators often seek merely to express themselves or figure out or come to terms with something. We point to inconsistencies regarding divergent and convergent thought.

Type
Open Peer Commentary
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

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References

Barron, F. (1963). Creativity and psychological health. Van Nostrand.Google Scholar
Beaty, R., & Silvia, P. (2012). Why do ideas get more creative across time? An executive interpretation of the serial order effect in DT tasks. Psychology of Aesthetics, Creativity, and the Arts, 6, 309319. https://doi.org/10.1037/a0029171CrossRefGoogle Scholar
Beersma, B., & De Dreu, C. (2005). Conflict's consequences: Effects of social motives on post-negotiation creative and convergent group functioning and performance. Journal of Personality and Social Psychology, 89, 358374. https://doi.org/10.1037/0022-3514.89.3.358CrossRefGoogle Scholar
Benedek, M., & Neubauer, A. (2013). Revisiting Mednick's model on creativity-related differences in associative hierarchies. Evidence for a common path to uncommon thought. The Journal of Creative Behavior, 47, 273289. https://doi.org/10.1002/jocb.35CrossRefGoogle Scholar
Carbert, N., Gabora, L., Schwartz, J., & Ranjan, A. (2014). Cognitive states of potentiality in art-making. In Kozbelt, A., Locher, P. & Tinio, P. (Eds.), Proceedings of IAEA congress on empirical aesthetics (pp. 121126). International Association of Empirical Aesthetics Press.Google Scholar
Christensen, P., Guilford, J., Merrifield, P., & Wilson, R. (1960). Alternate uses. Sheridan.Google Scholar
Forgeard, M. (2013). Perceiving benefits after adversity: The relationship between self-reported post-traumatic growth and creativity. Psychology of Aesthetics, Creativity, and the Arts, 7, 245264. https://doi.org/10.1037/a0031223CrossRefGoogle Scholar
Gabora, L. (2000). Toward a theory of creative inklings. In Ascott, R. (Ed.), Art, technology, and consciousness (pp. 159164). Intellect Press.CrossRefGoogle Scholar
Gabora, L. (2002). The beer can theory of creativity. In Bentley, P. & Corne, D. (Eds.), Creative evolutionary systems (pp. 147161). Morgan Kauffman.CrossRefGoogle Scholar
Gabora, L. (2010). Revenge of the ‘neurds': Characterizing creative thought in terms of the structure and dynamics of human memory. Creativity Research Journal, 22(1), 113.CrossRefGoogle Scholar
Gabora, L. (2017). Honing theory: A complex systems framework for creativity. Nonlinear Dynamics, Psychology, and Life Sciences, 21(1), 3588. https://doi.org/10.48550/arXiv.1610.02484Google ScholarPubMed
Gabora, L. (2018). The neural basis and evolution of divergent and convergent thought. In Vartanian, O. & Jung, R. (Eds.), The Cambridge handbook of the neuroscience of creativity (pp. 5870). Cambridge, MA: Cambridge University Press.CrossRefGoogle Scholar
Gabora, L. (2019). Reframing convergent and divergent thought for the 21st century. In A. Goel, C. Seifert, & C. Freska (Eds.) Proceedings of the 2019 Annual Meeting of the Cognitive Science Society, (pp. 1794-1800). Austin TX: Cognitive Science Society.Google Scholar
Gabora, L., & Bach, J. (2023). The path to generative artificial selves. In Proceedings of the 22 nd Portuguese Conference on Artificial Intelligence. (Held Sept 5–8, 2023, Faial Island, Azores, Portugal.) To be published in Lecture Notes in Artificial Intelligence (LNAI), Springer.CrossRefGoogle Scholar
Gabora, L., & Carbert, N. (2015). Cross-domain influences on creative innovation: Preliminary investigations. In R. Dale, C. Jennings, P. Maglio, T. Matlock, D. Noelle, A. Warlaumont & J. Yashimi (Eds.), Proceedings of the 37th annual meeting of the Cognitive Science Society (pp. 758–763). Austin TX: Cognitive Science Society.Google Scholar
Gabora, L., O'Connor, B., & Ranjan, A. (2012). The recognizability of individual creative styles within and across domains. Psychology of Aesthetics, Creativity, and the Arts, 6(4), 351360.CrossRefGoogle Scholar
Gabora, L., & Ranjan, A. (2013). How insight emerges in distributed, content-addressable memory. In Bristol, A., Vartanian, O. & Kaufman, J. (Eds.), The neuroscience of creativity (pp. 1943). MIT Press.CrossRefGoogle Scholar
Gabora, L., & Saab, A. (2011). Creative interference and states of potentiality in analogy problem solving. In L. Carlson, C. Hőlscher & T. F. Shipley (Eds.), Proceedings of the 33rd Annual Meeting of the Cognitive Science Society (pp. 3506–3511). Austin TX: Cognitive Science Society.Google Scholar
Gabora, L., & Steel, M. (2022). From uncertainty to insight: An autocatalytic framework. In Uncertainty: A catalyst for creativity, learning and development (pp. 125156). Springer International Publishing.CrossRefGoogle Scholar
Ganesh, K., & Gabora, L. (2022). A dynamic autocatalytic network model of therapeutic change. Entropy, 24(4), 547. https://doi.org/10.3390/e24040547CrossRefGoogle ScholarPubMed
Gibson, C., Folley, B., & Park, S. (2009). Enhanced DT and creativity in musicians: A behavioral and near-infrared spectroscopy study. Brain and Cognition, 69, 162169. https://doi.org/10.1016/j.bandc.2008.07.009Google Scholar
Kerr, D., & Murthy, U. (2004). Divergent and convergent idea generation in teams: A comparison of computer-mediated and face-to-face communication. Group Decision and Negotiation, 13, 381399. https://doi.org/10.1023/B:GRUP.0000042960.38411.52Google Scholar
Mednick, S. (1968). The remote associates test. Journal of Creative Behavior, 2, 213214. https://doi.org/10.1002/j.2162-6057.1968.tb00104.xGoogle Scholar
Piffer, D. (2012). Can creativity be measured? An attempt to clarify the notion of creativity and general directions for future research. Thinking Skills and Creativity, 7, 258264. https://doi.org/10.1016/j.tsc.2012.04.009CrossRefGoogle Scholar
Plucker, J., & Renzulli, J. (1999). Psychometric approaches to the study of human creativity. In Sternberg, R. (Ed.), Handbook of creativity (pp. 3561). Cambridge University Press.Google Scholar
Runco, M. (2014). Creativity theories and themes: Research, development, and practice. Elsevier.Google Scholar
Scotney, V., Schwartz, J., Carbert, C., Adam Saab, A., & Gabora, L. (2020). The form of a “half-baked” creative idea: Empirical explorations into the structure of ill-defined mental representations. Acta Psychologica, 202, 102983. https://doi.org/10.1016/j.actpsy.2019.102981Google Scholar