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Beyond novelty: Learnability in the interplay between creativity, curiosity and artistic endeavours

Published online by Cambridge University Press:  21 May 2024

Diana Omigie
Affiliation:
Department of Psychology, Goldsmiths, University of London, London, UK diana.omigie@gold.ac.uk j.bhattacharya@gold.ac.uk https://www.gold.ac.uk/psychology/staff/omigie/ https://www.gold.ac.uk/psychology/staff/bhattacharya/
Joydeep Bhattacharya*
Affiliation:
Department of Psychology, Goldsmiths, University of London, London, UK diana.omigie@gold.ac.uk j.bhattacharya@gold.ac.uk https://www.gold.ac.uk/psychology/staff/omigie/ https://www.gold.ac.uk/psychology/staff/bhattacharya/
*
*Corresponding author.

Abstract

Using art and aesthetics as context, we explore the notion that curiosity and creativity emanate from a single novelty-seeking mechanism and outline support for the idea. However, we also highlight the importance of learning progress tracking in exploratory action and advocate for a nuanced understanding that aligns novelty-seeking with learnability. This, we argue, offers a more comprehensive framework of how curiosity and creativity are related.

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

Producing art is arguably one of the most ubiquitous and universally recognizable expressions of creativity. Similarly, curiosity is believed to play a central role in the aesthetic experience, driven by the novelty, ambiguity and uncertainty that are engendered by many artworks. The novelty-seeking model (NSM) proposed by Ivanconvsky et al. suggests that curiosity and creativity both result from the same mechanism of novelty-seeking, which is, in turn, influenced by one's state of mind. How effective is this model in accounting for the human motivation to produce and appreciate art?

We suggest that the model indeed offers considerable explanatory value in the context of art and aesthetics. For instance, many art forms span a spectrum that ranges from highly structured and representational to highly complex and unpredictable. The presence of the latter category, exemplified in atonal music from the 20th-century Western art-music canon, clearly illustrates how humans sometimes prioritize an exploratory state of mind over an exploitatory one (Mencke, Omigie, Quiroga-Martinez, & Brattico, Reference Mencke, Omigie, Quiroga-Martinez and Brattico2022).

Further, various art forms provide empirical support for the model's proposition of a shared neural basis for creativity and curiosity in the brain's dopaminergic areas (De Aquino, Verdejo-Román, Pérez-García, & Pérez-García, Reference De Aquino, Verdejo-Román, Pérez-García and Pérez-García2019; Omigie et al., Reference Omigie, Pearce, Lehongre, Hasboun, Navarro, Adam and Samson2019; Schuler et al., Reference Schuler, Tik, Sladky, Luft, Hoffmann, Woletz and Windischberger2019; Tik et al., Reference Tik, Sladky, Luft, Willinger, Hoffmann, Banissy and Windischberger2018). Dopamine medication has been shown to modulate creativity levels in individuals with Parkinson's disease when they engage in the production of visual artwork (Garcia-Ruiz, Martinez Castrillo, & Desojo, Reference Garcia-Ruiz, Martinez Castrillo and Desojo2019; Lhommée, et al., Reference Lhommée, Batir, Quesada, Ardouin, Fraix, Seigneuret and Krack2014). Concerning curiosity and art appreciation, the modulation of tonic dopamine levels in healthy participants influences the degree to which they like and choose to engage with different styles of paintings and music (Cattaneo et al., Reference Cattaneo, Lega, Gardelli, Merabet, Cela-Conde and Nadal2014; Mas-Herrero, Dagher, & Zatorre, Reference Mas-Herrero, Dagher and Zatorre2017).

However, we have some concerns regarding NSM's ability to be reconciled with other valuable assertions about how curiosity emerges. Notably, learning progress theories, widely applied to artificial agents, posit that curiosity is not solely driven by novelty but is precipitated by heightened rates of learning new information (Oudeyer, Kaplan, & Hafner, Reference Oudeyer, Kaplan and Hafner2007). This framework implies that humans are intrinsically driven to pursue tasks featuring a learning-progress component (Ten, Kaushik, Oudeyer, & Gottlieb, Reference Ten, Kaushik, Oudeyer and Gottlieb2021), thus influencing both immediate engagement with the task at hand and the selection of subsequent tasks. This dynamic interplay ultimately contributes to an augmented understanding of the evolving environment, achieving desirable reductions in uncertainty (Poli, Meyer, Mars, & Hunnius, Reference Poli, Meyer, Mars and Hunnius2022).

Learning can be costly and success is never guaranteed. Therefore, having the ability to focus resources on areas where learning is most effective is highly advantageous. Even very young infants seem to possess an innate sense of where they can learn rather than where they might simply encounter random information (Gerken, Balcomb, & Minton, Reference Gerken, Balcomb and Minton2011). Curiosity and exploration help us stay in the “zone of proximal development” (Metcalfe, Schwartz, & Eich, Reference Metcalfe, Schwartz and Eich2020; Oudeyer et al., Reference Oudeyer, Kaplan and Hafner2007), the optimal range for learning just beyond our current knowledge and abilities. Curiosity, as defined by learning progress theories, limits wasting valuable resources on irrelevant and overly simple content, as well as, importantly, content that is too complex for our current understanding.

Learning progress theories explain how, with continued exposure to complex environments, those stimuli that elicit humans’ curiosity, attention and preference will likewise tend to increase in complexity (Forest, Siegelman, & Finn, Reference Forest, Siegelman and Finn2022; Galvan & Omigie, Reference Galvan and Omigie2022). Learning progress theories thus hold significant potential for explaining our everyday behaviours, including those related to the arts.

Indeed, there is increasing evidence from poetry, visual artworks and music suggesting that learnable novelty is the underlying factor behind curiosity and creative outputs. In the realm of music, research indicates that curiosity, reward and physiological signals are influenced by novelty in ways that depend on the context's learnability (Bianco, Ptasczynski, & Omigie, Reference Bianco, Ptasczynski and Omigie2020; Cheung et al., Reference Cheung, Harrison, Meyer, Pearce, Haynes and Koelsch2019; Omigie & Ricci, Reference Omigie and Ricci2023). Concerning creativity, it was those musical compositions with moderate, rather than high levels of novel events (i.e., music intervals not previously heard) that were judged by listeners as being the most creative (Zioga, Harrison, Pearce, Bhattacharya, & Di Bernardi Luft, Reference Zioga, Harrison, Pearce, Bhattacharya and Di Bernardi Luft2020); importantly, the same study also demonstrated that success in learning a new musical style significantly predicted success in composing creatively in that new style.

Such learning–creativity associations align with findings that aesthetic appeal predicts creativity-related judgements and behaviours better than surprise per se (Chaudhuri, Dooley, Johnson, Beaty, & Bhattacharya, Reference Chaudhuri, Dooley, Johnson, Beaty and Bhattacharya2023; Welke et al., Reference Welke, Purton and Vessel2023). The experience of aesthetic appeal, which is well explained by individual differences in preference for complexity and novelty, is a stronger predictor than surprise of how creative poems are judged to be (Chaudhuri et al., Reference Chaudhuri, Dooley, Johnson, Beaty and Bhattacharya2023).

Our artistic sense could be argued to be related to play, another behaviour that is filled with curiosity and exploration. A child will often choose unconventional objects to play with (Andersen, Kiverstein, Miller, & Roepstorff, Reference Andersen, Kiverstein, Miller and Roepstorff2023). This behaviour is not driven by mere novelty-seeking or a desire to signal fitness, as some theories suggest for art (Leder & Nadal, Reference Leder and Nadal2014); instead, it is likely rooted in intrinsic motivation to tackle challenging obstacles that, in turn, offer opportunities for learning and progress in understanding the environment. Artists may intentionally incorporate obstacles and challenges into their work. Here, it is relevant to note that curiosity in the form of information-seeking has previously been argued to be a driving factor in both aesthetic experiences and creativity (Kenett, Humphries, & Chatterjee, Reference Kenett, Humphries and Chatterjee2023). In doing so, they maintain its appeal, foster curiosity and fresh learning opportunities and benefit both themselves and their audience.

Taken together, we commend the authors for their emphasis on the links between creativity and curiosity and for asserting that distinct states of mind, namely exploratory and exploitative states, underlie different types of creativity and curiosity. Nevertheless, we argue that a more precise qualification of “novelty-seeking” as the pursuit of learnable novel information provides a more comprehensive framework for understanding the similarities between creativity and curiosity. This conceptualization would better align with a growing body of evidence concerning the nature of creativity and curiosity, both in the context of the arts (Gold, Pearce, Mas-Herrero, Dagher, & Zatorre, Reference Gold, Pearce, Mas-Herrero, Dagher and Zatorre2019; Matthews, Stupacher, & Vuust, Reference Matthews, Stupacher and Vuust2023) and in general (Dubey & Griffiths, Reference Dubey and Griffiths2020). Such a definition would also better accommodate the notion that creative products, including various forms of artistic outputs, serve a recognizable and adaptive purpose.

Acknowledgements

J. B. is grateful to Dr. Devin Terhune for an initial discussion.

Financial support

None.

Conflict of interest

None.

References

Andersen, M. M., Kiverstein, J., Miller, M., & Roepstorff, A. (2023). Play in predictive minds: A cognitive theory of play. Psychological Review, 130(2), 462479. https://doi.org/10.1037/rev0000369CrossRefGoogle ScholarPubMed
Bianco, R., Ptasczynski, L. E., & Omigie, D. (2020). Pupil responses to pitch deviants reflect predictability of melodic sequences. Brain and Cognition, 138, 103621. https://doi.org/10.1016/j.bandc.2019.103621CrossRefGoogle ScholarPubMed
Cattaneo, Z., Lega, C., Gardelli, C., Merabet, L. B., Cela-Conde, C. J., & Nadal, M. (2014). The role of prefrontal and parietal cortices in esthetic appreciation of representational and abstract art: A TMS study. NeuroImage, 99, 443450. https://doi.org/10.1016/j.neuroimage.2014.05.037CrossRefGoogle ScholarPubMed
Chaudhuri, S., Dooley, M., Johnson, D., Beaty, R., & Bhattacharya, J. (2023). Evaluation of poetic creativity: Predictors and the role of expertise-A multilevel approach. Psychology of Aesthetics, Creativity, and the Arts. https://doi.org/10.1037/aca0000649Google Scholar
Cheung, V. K. M., Harrison, P. M. C., Meyer, L., Pearce, M. T., Haynes, J.-D., & Koelsch, S. (2019). Uncertainty and surprise jointly predict musical pleasure and amygdala, hippocampus, and auditory cortex activity. Current Biology, 29(23), 40844092.e4. https://doi.org/10.1016/j.cub.2019.09.067CrossRefGoogle ScholarPubMed
De Aquino, M. P. B., Verdejo-Román, J., Pérez-García, M., & Pérez-García, P. (2019). Different role of the supplementary motor area and the insula between musicians and non-musicians in a controlled musical creativity task. Scientific Reports, 9(1), 13006. https://doi.org/10.1038/s41598-019-49405-5CrossRefGoogle Scholar
Dubey, R., & Griffiths, T. L. (2020). Reconciling novelty and complexity through a rational analysis of curiosity. Psychological Review, 127(3), 455476. https://doi.org/10.1037/rev0000175CrossRefGoogle ScholarPubMed
Forest, T. A., Siegelman, N., & Finn, A. S. (2022). Attention shifts to more complex structures with experience. Psychological Science, 33(12), 20592072. https://doi.org/10.1177/09567976221114055CrossRefGoogle ScholarPubMed
Galvan, J., & Omigie, D. (2022). Individual differences in the expression and experience of curiosity are reflected in patterns of music preferences and appreciation. Psychomusicology: Music, Mind, and Brain, 32(3–4), 5975. https://doi.org/10.1037/pmu0000289CrossRefGoogle Scholar
Garcia-Ruiz, P. J., Martinez Castrillo, J. C., & Desojo, L. V. (2019). Creativity related to dopaminergic treatment: A multicenter study. Parkinsonism & Related Disorders, 63, 169173. https://doi.org/10.1016/j.parkreldis.2019.02.010CrossRefGoogle ScholarPubMed
Gerken, L., Balcomb, F. K., & Minton, J. L. (2011). Infants avoid ‘labouring in vain’ by attending more to learnable than unlearnable linguistic patterns: Infants attend more to learnable patterns. Developmental Science, 14(5), 972979. https://doi.org/10.1111/j.1467-7687.2011.01046.xCrossRefGoogle ScholarPubMed
Gold, B. P., Pearce, M. T., Mas-Herrero, E., Dagher, A., & Zatorre, R. J. (2019). Predictability and uncertainty in the pleasure of music: A reward for learning? The Journal of Neuroscience, 39(47), 93979409. https://doi.org/10.1523/JNEUROSCI.0428-19.2019CrossRefGoogle Scholar
Kenett, Y. N., Humphries, S., & Chatterjee, A. (2023). A thirst for knowledge: Grounding curiosity, creativity, and aesthetics in memory and reward neural systems. Creativity Research Journal, 35(3), 412426. https://doi.org/10.1080/10400419.2023.2165748CrossRefGoogle Scholar
Leder, H., & Nadal, M. (2014). Ten years of a model of aesthetic appreciation and aesthetic judgments: The aesthetic episode – developments and challenges in empirical aesthetics. British Journal of Psychology, 105(4), 443464. https://doi.org/10.1111/bjop.12084CrossRefGoogle Scholar
Lhommée, E., Batir, A., Quesada, J. L., Ardouin, C., Fraix, V., Seigneuret, E., … Krack, P. (2014). Dopamine and the biology of creativity: Lessons from Parkinson's disease. Frontiers in Neurology, 5, 55. https://doi.org/10.3389/fneur.2014.00055Google ScholarPubMed
Mas-Herrero, E., Dagher, A., & Zatorre, R. J. (2017). Modulating musical reward sensitivity up and down with transcranial magnetic stimulation. Nature Human Behaviour, 2(1), 2732. https://doi.org/10.1038/s41562-017-0241-zCrossRefGoogle ScholarPubMed
Matthews, T. E., Stupacher, J., & Vuust, P. (2023). The pleasurable urge to move to music through the lens of learning progress. Journal of Cognition, 6(1), 55. https://doi.org/10.5334/joc.320CrossRefGoogle ScholarPubMed
Mencke, I., Omigie, D., Quiroga-Martinez, D. R., & Brattico, E. (2022). Atonal music as a model for investigating exploratory behavior. Frontiers in Neuroscience, 16, 793163. https://doi.org/10.3389/fnins.2022.793163CrossRefGoogle Scholar
Metcalfe, J., Schwartz, B. L., & Eich, T. S. (2020). Epistemic curiosity and the region of proximal learning. Current Opinion in Behavioral Sciences, 35, 4047. https://doi.org/10.1016/j.cobeha.2020.06.007CrossRefGoogle ScholarPubMed
Omigie, D., Pearce, M., Lehongre, K., Hasboun, D., Navarro, V., Adam, C., & Samson, S. (2019). Intracranial recordings and computational modeling of music reveal the time course of prediction error signaling in frontal and temporal cortices. Journal of Cognitive Neuroscience, 31(6), 855873. https://doi.org/10.1162/jocn_a_01388CrossRefGoogle ScholarPubMed
Omigie, D., & Ricci, J. (2023). Accounting for expressions of curiosity and enjoyment during music listening. Psychology of Aesthetics, Creativity, and the Arts, 17(2), 225241. https://doi.org/10.1037/aca0000461CrossRefGoogle Scholar
Oudeyer, P.-Y., Kaplan, F., & Hafner, V. V. (2007). Intrinsic motivation systems for autonomous mental development. IEEE Transactions on Evolutionary Computation, 11(2), 265286. https://doi.org/10.1109/TEVC.2006.890271CrossRefGoogle Scholar
Poli, F., Meyer, M., Mars, R. B., & Hunnius, S. (2022). Contributions of expected learning progress and perceptual novelty to curiosity-driven exploration. Cognition, 225, 105119. https://doi.org/10.1016/j.cognition.2022.105119CrossRefGoogle ScholarPubMed
Schuler, A.-L., Tik, M., Sladky, R., Luft, C. D. B., Hoffmann, A., Woletz, M., … Windischberger, C. (2019). Modulations in resting state networks of subcortical structures linked to creativity. NeuroImage, 195, 311319. https://doi.org/10.1016/j.neuroimage.2019.03.017CrossRefGoogle ScholarPubMed
Ten, A., Kaushik, P., Oudeyer, P.-Y., & Gottlieb, J. (2021). Humans monitor learning progress in curiosity-driven exploration. Nature Communications, 12(1), 5972. https://doi.org/10.1038/s41467-021-26196-wCrossRefGoogle ScholarPubMed
Tik, M., Sladky, R., Luft, C. D. B., Willinger, D., Hoffmann, A., Banissy, M. J., … Windischberger, C. (2018). Ultra-high-field fMRI insights on insight: Neural correlates of the Aha!-moment. Human Brain Mapping, 39(8), 32413252. https://doi.org/10.1002/hbm.24073CrossRefGoogle ScholarPubMed
Welke, D., Purton, I., & Vessel, E. A. (2023). Inspired by art: Higher aesthetic appeal elicits increased felt inspiration in a creative writing task. Psychology of Aesthetics, Creativity, and the Arts, 17(3), 261277. https://doi.org/10.1037/aca0000393CrossRefGoogle Scholar
Zioga, I., Harrison, P. M. C., Pearce, M. T., Bhattacharya, J., & Di Bernardi Luft, C. (2020). From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity. NeuroImage, 206, 116311. https://doi.org/10.1016/j.neuroimage.2019.116311CrossRefGoogle ScholarPubMed