Article

Beauty-in-averageness and its contextual modulations: A Bayesian statistical account

2018-07-04

Abstract excerpt

Understanding how humans perceive the likability of high-dimensional “objects” such as faces is an important problem in both cognitive science and AI/ML. Existing models of human preferences generally assume these preferences to be fixed. However, human assessment of facial attractiveness have been found to be highly context-dependent. Specifically, the classical Beauty-in-Averageness (BiA) effect, whereby a face...

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Literature Corpus work: 8d537af0-a950-5261-8b7b-f5e0844f91e8
DOI: 10.1101/360651

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