How do humans give confidence? A comprehensive comparison of process models of perceptual metacognition.

ABSTRACT: Humans have the metacognitive ability to assess the accuracy of their decisions via confidence judgments. Several computational models of confidence have been developed but not enough has been done to compare these models, making it difficult to adjudicate between them. Here, we compare 14 popular models of confidence that make various assumptions, such as confidence being derived from postdecisional evidence, from positive (decision-congruent) evidence, from posterior probability computations, or from a separate decision-making system for metacognitive judgments. We fit all models to three large experiments in which subjects completed a basic perceptual task with confidence ratings. In Experiments 1 and 2, the best-fitting model was the lognormal meta noise (LogN) model, which postulates

SUBMITTER: Shekhar M 

PROVIDER: S-EPMC10922729 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature