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Breaking down (and moving beyond) novelty as a trigger of curiosity

Published online by Cambridge University Press:  21 May 2024

Emily G. Liquin*
Affiliation:
Department of Psychology, New York University, New York, NY, USA [email protected] https://emilyliquin.com
Tania Lombrozo
Affiliation:
Department of Psychology, Princeton University, Princeton, NJ, USA [email protected] https://psych.princeton.edu/people/tania-lombrozo
*
*Corresponding author.

Abstract

The Novelty Seeking Model (NSM) places “novelty” at center stage in characterizing the mechanisms behind curiosity. We argue that the NSM's conception of novelty is too broad, obscuring distinct constructs. More critically, the NSM underemphasizes triggers of curiosity that better unify these constructs and that have received stronger empirical support: those that signal the potential for useful learning.

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

Ivancovsky et al. propose a “Novelty Seeking Model” (NSM) of curiosity and creativity, grounded in the idea that both share common novelty-seeking mechanisms – directed toward novel stimuli, for curiosity, and novel ideas, for creativity. In the evaluation step of the NSM as applied to curiosity, stimuli are evaluated for their novelty (among other considerations), and this determines whether a person becomes curious. Here, we raise two challenges for this step. First, the NSM blurs the lines between several distinct constructs, labeling them all “novelty.” Second, novelty is emphasized at the expense of other relevant evaluations, including those with stronger empirical support. We discuss each of these in turn.

Ivancovsky et al. refer to several constructs under the umbrella term “novelty,” arguing that this broad grouping is a key part of the evaluation step. For example, they write that curiosity is determined by a “novelty appraisal (including incongruity, complexity, unexpectedness, obscurity, and uncertainty…)” (sect. 2.5, para. 5). This grouping is puzzling, as these constructs are definitionally distinct (Barto, Mirolli, & Baldassarre, Reference Barto, Mirolli and Baldassarre2013; Liquin, Callaway, & Lombrozo, Reference Liquin, Callaway, Lombrozo, Denison, Mack, Xu and Armstrong2020). For example, novelty describes a lack of prior experience or exposure, unexpectedness describes a violation of one's predictions, and uncertainty describes a lack of knowledge.

Further, each construct makes different predictions about curiosity. Imagine that you notice a new flag outside your neighbor's home. The flag is novel to you (you've never seen it before), and you are uncertain about its meaning (is it some country's flag?). You're curious, but you forget to look it up. The next day, you see the flag again. It is no longer novel (you saw it yesterday), but you remain uncertain. If novelty alone drives curiosity, then curiosity should be lower on the second day than on the first. But if uncertainty alone drives curiosity, then curiosity should remain the same. Similar reasoning can be used to tease apart the concepts of novelty and surprise (Barto et al., Reference Barto, Mirolli and Baldassarre2013), which is often seen as synonymous with unexpectedness (but see Maguire, Maguire, & Keane, Reference Maguire, Maguire and Keane2011).

By blurring the lines between these constructs, Ivancovsky et al. obscure important questions about curiosity's occurrence. For instance, is curiosity responsive to a combination of these cues (sometimes novelty, sometimes uncertainty, sometimes surprise or unexpectedness, sometimes all three)? Or is there some other construct that unifies and explains the associations between curiosity and each cue?

We have argued elsewhere that curiosity might be sensitive to novelty, surprise, and related evaluations precisely because these cues signal the likelihood of future learning (Liquin et al., Reference Liquin, Callaway, Lombrozo, Denison, Mack, Xu and Armstrong2020, Reference Liquin, Callaway, Lombrozo, Fitch, Lamm, Leder and Teßmar-Raible2021; Liquin & Lombrozo, Reference Liquin and Lombrozo2020). Supporting this claim, curiosity is highest when expected learning is highest, above and beyond variation in novelty, surprise, or uncertainty (Liquin & Lombrozo, Reference Liquin and Lombrozo2020; see also Lombrozo & Liquin, Reference Lombrozo and Liquin2023). Related work shows that the association between uncertainty and curiosity is modulated by future utility. People aren't curious about all uncertain stimuli, but specifically those likely to be useful in the future (Dubey, Griffiths, & Lombrozo, Reference Dubey, Griffiths and Lombrozo2022; Dubey & Griffiths, Reference Dubey and Griffiths2020). Moreover, curiosity is correlated with moment-to-moment variation in learning progress: the rate at which one's predictions are improving (Poli, Serino, Mars, & Hunnius, Reference Poli, Serino, Mars and Hunnius2020, Reference Poli, Meyer, Mars and Hunnius2022; Ten, Kaushik, Oudeyer, & Gottlieb, Reference Ten, Kaushik, Oudeyer and Gottlieb2021).

This growing body of research suggests that curiosity goes beyond novelty and related cues. Curiosity is triggered by expected learning, learning progress, and utility – even controlling for variation in novelty, surprise, and uncertainty. Moreover, expected learning, learning progress, and utility tend to dominate when predicting variation in curiosity.

Ivancovsky et al. acknowledge that curiosity may depend on additional appraisals beyond novelty: (1) whether it is possible to understand the curiosity-inducing stimulus (“coping potential”) and (2) how useful it would be to understand the curiosity-inducing stimulus. It is not clear how the former appraisal is integrated into the NSM. For the latter, Ivancovsky et al. propose that the relative weight given to novelty versus utility is determined by one's state of mind and level of inhibition. However, under the NSM, coping potential and utility are always subsidiary to novelty, as novelty is also what initially attracts attention to a stimulus (in the affinity step of the NSM). Indeed, Ivancovsky et al. define curiosity as a “state by which one seeks novelty,” thus presupposing that novelty is primary.

Instead, we argue that expected learning and utility are primary, as they describe the function of curiosity for human cognition – to motivate us to learn useful information. Curiosity is sensitive to cues like novelty because these cues signal, sometimes imperfectly, that useful learning is likely. But more direct signals (e.g., expected learning, learning progress, utility) are stronger triggers of curiosity. This makes sense, as sensitivity to these triggers is likely to produce “optimal” patterns of curiosity: high curiosity when useful learning is most likely and most rapid, and low curiosity when useful learning is least likely and least rapid (Liquin et al., Reference Liquin, Callaway, Lombrozo, Denison, Mack, Xu and Armstrong2020, Reference Liquin, Callaway, Lombrozo, Fitch, Lamm, Leder and Teßmar-Raible2021; Poli et al., Reference Poli, Serino, Mars and Hunnius2020).

Ivancovsky et al.'s key claim is that curiosity and creativity are unified by virtue of their novelty-seeking mechanisms. If curiosity is not geared toward novelty but rather toward useful learning, can curiosity and creativity be unified after all? One path forward is to consider the functional role that creativity plays in supporting human cognition, just as we have considered the functional role of curiosity. Perhaps at this functional level, we will find new ways of approaching a unified account of curiosity and creativity.

This functional approach also invites us to consider how the mechanisms underlying creativity support its functional role. In the case of curiosity, a functional focus has led to important insights concerning the triggers of curiosity: that novelty, surprise, and uncertainty can be unified by their connection to future useful learning, and that people's curiosity is most strongly predicted by their expectations about future useful learning. Similarly, we might ask why creativity depends on assessments of novelty and usefulness – how do these assessments support creativity's function? Ultimately, answering questions inspired by a functional approach will provide a richer understanding of both curiosity and creativity – and, perhaps, a unified model.

Financial support

This material is based upon work supported by the National Science Foundation SBE Postdoctoral Research Fellowship to E.G.L. under grant No. 2204021.

Conflict of interest

None.

References

Barto, A., Mirolli, M., & Baldassarre, G. (2013). Novelty or surprise? Frontiers in Psychology, 4, 907. doi:10.3389/fpsyg.2013.00907CrossRefGoogle ScholarPubMed
Dubey, R., & Griffiths, T. L. (2020). Reconciling novelty and complexity through a rational analysis of curiosity. Psychological Review, 127(3), 455476. doi:10.1037/rev0000175CrossRefGoogle ScholarPubMed
Dubey, R., Griffiths, T. L., & Lombrozo, T. (2022). If it's important, then I'm curious: Increasing perceived usefulness stimulates curiosity. Cognition, 226, 105193. doi:10.1016/j.cognition.2022.105193CrossRefGoogle ScholarPubMed
Liquin, E. G., Callaway, F., & Lombrozo, T. (2020). Quantifying curiosity: A formal approach to dissociating causes of curiosity. In Denison, S., Mack, M., Xu, Y., & Armstrong, B. C. (Eds.), Proceedings of the 42nd annual conference of the cognitive science society (pp. 309315). Cognitive Science Society.Google Scholar
Liquin, E. G., Callaway, F., & Lombrozo, T. (2021). Developmental change in what elicits curiosity. In Fitch, T., Lamm, C., Leder, H., & Teßmar-Raible, K. (Eds.), Proceedings of the 43rd annual conference of the cognitive science society (pp. 13601366). Cognitive Science Society.Google Scholar
Liquin, E. G., & Lombrozo, T. (2020). A functional approach to explanation-seeking curiosity. Cognitive Psychology, 119, 101276. doi:10.1016/j.cogpsych.2020.101276CrossRefGoogle ScholarPubMed
Lombrozo, T., & Liquin, E. G. (2023). Explanation is effective because it is selective. Current Directions in Psychological Science, 32(3), 212219. doi:10.1177/09637214231156106CrossRefGoogle Scholar
Maguire, R., Maguire, P., & Keane, M. T. (2011). Making sense of surprise: An investigation of the factors influencing surprise judgments. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37(1), 176186. doi:10.1037/a0021609Google ScholarPubMed
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. doi:10.1016/j.cognition.2022.105119CrossRefGoogle ScholarPubMed
Poli, F., Serino, G., Mars, R. B., & Hunnius, S. (2020). Infants tailor their attention to maximize learning. Science Advances, 6(39), eabb5053. doi:10.1126/sciadv.abb5053CrossRefGoogle ScholarPubMed
Ten, A., Kaushik, P., Oudeyer, P.-Y., & Gottlieb, J. (2021). Humans monitor learning progress in curiosity-driven exploration. Nature Communications, 12(1), 5972. doi:10.1038/s41467-021-26196-wCrossRefGoogle ScholarPubMed