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Visual Confidence.

Pascal Mamassian1,2

  • 1Laboratoire des Systèmes Perceptifs, CNRS UMR 8248, 75005 Paris, France.

Annual Review of Vision Science
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PubMed
Summary
This summary is machine-generated.

Visual confidence, judging perceptual accuracy, is key to understanding vision. Evidence-based accumulation models explain confidence judgments better than signal decision theory, accounting for response times and performance-confidence dissociation.

Keywords:
Type 2 ROCaccumulation of evidence modelsdecision makingmetaperceptionoverconfidencesignal detection theoryvisual confidence

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Area of Science:

  • Cognitive psychology
  • Neuroscience
  • Visual perception

Background:

  • Visual confidence, the ability to assess perceptual decision accuracy, is crucial for understanding visual perception.
  • Historically, studying confidence was challenging due to difficulties in obtaining robust evidence for metacognitive abilities beyond perceptual sensitivity.

Purpose of the Study:

  • To explore the origins of visual confidence judgments.
  • To compare competing theoretical frameworks for understanding confidence.
  • To investigate the role of metacognition in visual perception.

Main Methods:

  • Review of experimental paradigms for studying visual confidence in humans and nonhuman animals.
  • Comparison of signal detection theory and evidence accumulation models.

Main Results:

  • Evidence accumulation models naturally incorporate decision dynamics and response times, unlike signal detection theory.
  • Accumulation models can explain complex findings, such as the dissociation between performance and confidence.

Conclusions:

  • Evidence accumulation models provide a more comprehensive framework for understanding visual confidence.
  • These models offer insights into the metacognitive processes underlying perceptual judgments.