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Decision confidence and affect both reflect the subjective probability of being correct. This study shows these metacognitive signals are similarly influenced by accuracy, evidence, and expectancy in decision-making.

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Area of Science:

  • Cognitive Neuroscience
  • Affective Science
  • Decision Science

Background:

  • Decision confidence is a metacognitive representation of decision accuracy.
  • Affective valence (positive/negative feelings) is linked to being correct/mistaken.
  • Little research has explored the relationship between affect and metacognition.

Purpose of the Study:

  • To investigate if affective valence, like decision confidence, reflects the probability of a correct decision.
  • To compare how accuracy, evidence, and expectancy influence both confidence and affect.
  • To bridge the research gap between metacognition and affective science.

Main Methods:

  • Two perceptual decision-making experiments were conducted.
  • Participants provided confidence and affect ratings for their decisions.
  • The relationships between decision variables (evidence, accuracy, expectancy) and metacognitive/affective ratings were analyzed.

Main Results:

  • Both confidence and affect ratings were similarly sensitive to changes in accuracy, evidence, and expectancy.
  • Findings suggest that affect, similar to confidence, tracks the subjective probability of decision correctness.
  • Confidence and affect ratings demonstrated parallel responses to decision-making variables.

Conclusions:

  • Affective valence and decision confidence serve as similar indicators of the subjective probability of being correct.
  • Identified potential mechanisms underlying the parallel tracking of decision accuracy by confidence and affect.
  • Advocated for greater integration of cognitive and affective research within metacognition studies for future research.