2011
DOI: 10.1068/i0466aap
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Putting Reward in Art: A Tentative Prediction Error Account of Visual Art

Abstract: The predictive coding model is increasingly and fruitfully used to explain a wide range of findings in perception. Here we discuss the potential of this model in explaining the mechanisms underlying aesthetic experiences. Traditionally art appreciation has been associated with concepts such as harmony, perceptual fluency, and the so-called good Gestalt. We observe that more often than not great artworks blatantly violate these characteristics. Using the concept of prediction error from the predictive coding ap… Show more

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Cited by 241 publications
(238 citation statements)
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References 85 publications
(135 reference statements)
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“…This finding is in line with previous proposals about the link between detecting order and appreciation [7], reward by uncertainty reduction [1] and the detection of simplicity in complexity [6,8].…”
Section: Discussionsupporting
confidence: 81%
See 3 more Smart Citations
“…This finding is in line with previous proposals about the link between detecting order and appreciation [7], reward by uncertainty reduction [1] and the detection of simplicity in complexity [6,8].…”
Section: Discussionsupporting
confidence: 81%
“…In line with Van de Cruys and Wagemans we thus propose that it is the presence of novelty, uncertainty or other challenges evoked by a stimulus that promotes dynamic aesthetic processes [1], not the fluency or immediacy of recognition per se. Further studies might assess in which way Gestalt detection influences those dynamics: is there an immediate effect of the insight [17] during Gestalt recognition on aesthetic appreciation and how does this relation unfold with time?…”
Section: Discussionmentioning
confidence: 77%
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“…The prediction error account of aesthetic appreciation does a handy job of accommodating seemingly counterintuitive processes that are play during aesthetic appreciation ( Van de Cruys and Wagemans, 2011). The central idea is that great works of art are designed such that expectations are generated and then destroyed at optimal points.…”
Section: Phenomenology-based Imagination (Aesthetic Engagement)mentioning
confidence: 99%