Self-Relevance Predicts the Aesthetic Appeal of Real and Synthetic Artworks Generated via Neural Style Transfer.

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作者： Edward A,Vessel ^[1] ; Laura,Pasqualette ^[2] ; Cem,Uran ^[3] ; Sarah,Koldehoff ^[1] ; Giacomo,Bignardi ^[4] ; Martin,Vinck ^[3]

作者单位： Department of Neuroscience, Max Planck Institute for Empirical Aesthetics. ^[1] Neurocognitive Developmental Psychology, Friedrich-Alexander University Erlangen-Nürnberg. ^[2] Ernst Strüngmann Institute.;Department of Neurophysics, Donders Centre for Neuroscience. ^[3] Department of Language and Genetics, Max Planck Institute for Psycholinguistics.;Max Planck School of Cognition. ^[4]

关键词 aesthetic valuation artwork identity machine learning open data

主题词成年人(Adult);人类(Humans);艺术(Art);美学(Esthetics)

DOI 10.1177/09567976231188107

PMID 37578091

发布时间 2024-11-30

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准确一般字义偏差语意偏离译文作用小提交