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Affective valence does not reflect progress prediction errors in perceptual decisions.

Alan Voodla1,2, Andero Uusberg3, Kobe Desender4

  • 1Institute of Psychology, University of Tartu, Tartu, Estonia. alan.voodla@ut.ee.

Cognitive, Affective & Behavioral Neuroscience
|January 5, 2024
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Summary
This summary is machine-generated.

Affect and emotions are not solely based on prediction errors. This study shows that while expected and actual progress influence affect, they do so additively, not as a prediction error.

Keywords:
Affect generationEvidence accumulationPerceptual decisions

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Area of Science:

  • Cognitive Neuroscience
  • Affective Science

Background:

  • Affective valence and intensity are central to emotional experiences.
  • A prominent theory suggests affect arises from prediction errors between expected and actual states.

Purpose of the Study:

  • To investigate if affect reflects prediction errors related to progress in perceptual decision-making.
  • To evaluate the hypothesis that affect is driven by discrepancies between expected and actual progress.

Main Methods:

  • Empirical evaluation of affect in a perceptual decision task.
  • Computational modeling within an evidence accumulation framework.
  • Mapping actual progress to drift-rate and expected progress to expected drift-rate parameters.

Main Results:

  • Both expected and actual progress significantly influence affect.
  • The influence of progress on affect is additive, not a simple prediction error.
  • Computational model successfully replicates task behavior and affective ratings.

Conclusions:

  • Affect is sensitive to both expected and actual progress.
  • Affect does not appear to be computed as a progress prediction error.
  • Sequential sampling models offer a viable framework for understanding progress appraisals.