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A Bayesian explanation of the ‘Uncanny Valley’ effect and related psychological phenomena

2012/11/16 by Roger K. Moore · 4 citations
Psychology · Neuroscience · Social Sciences · #Evolutionary Psychology and Human Behavior #Face Recognition and Perception #Evolutionary Game Theory and Cooperation

paper · pdf · doi:10.1038/srep00864

openalex publication_date 2012/11/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Abstract

There are a number of psychological phenomena in which dramatic emotional responses are evoked by seemingly innocuous perceptual stimuli. A well known example is the 'uncanny valley' effect whereby a near human-looking artifact can trigger feelings of eeriness and repulsion. Although such phenomena are reasonably well documented, there is no quantitative explanation for the findings and no mathematical model that is capable of predicting such behavior. Here I show (using a Bayesian model of categorical perception) that differential perceptual distortion arising from stimuli containing conflicting cues can give rise to a perceptual tension at category boundaries that could account for these phenomena. The model is not only the first quantitative explanation of the uncanny valley effect, but it may also provide a mathematical explanation for a range of social situations in which conflicting cues give rise to negative, fearful or even violent reactions.

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