September 2017
Volume 17, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   August 2017
Testing the Bayesian confidence hypothesis
Author Affiliations
  • Wei Ji Ma
    New York University
Journal of Vision August 2017, Vol.17, 1391. doi:10.1167/17.10.1391
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      Wei Ji Ma; Testing the Bayesian confidence hypothesis. Journal of Vision 2017;17(10):1391. doi: 10.1167/17.10.1391.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Asking subjects to rate their confidence is one of the oldest procedures in psychophysics. Remarkably, quantitative models of confidence ratings have been scarce. What could be called the "Bayesian confidence hypothesis" states that an observer's confidence rating distribution is completely determined by posterior probability. This hypothesis predicts specific quantitative relationships between performance and confidence. It also predicts that stimulus combinations that produce the same posterior will also produce the same confidence distribution. We tested these predictions in three contexts: a) perceptual categorization; b) visual working memory; c) the interpretation of scientific data.

Meeting abstract presented at VSS 2017

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