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Perceptual learning effect on decision and confidence thresholds.

Guillermo Solovey1, Diego Shalom2, Verónica Pérez-Schuster3

  • 1Laboratorio de Neurociencia Integrativa, Buenos Aires, Argentina; Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina; CONICET, Argentina.

Consciousness and Cognition
|August 24, 2016
PubMed
Summary

Practice improves visual perception, but its effect on confidence is task-dependent. Perceptual learning enhanced detection ability but only increased confidence in the attentional blink task, suggesting learning modifies decision criteria.

Keywords:
ConfidencePerceptual learningSignal detection theorySubjective awarenessVisual psychophysics

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Area of Science:

  • Psychology
  • Neuroscience
  • Computational Modeling

Background:

  • Perceptual learning enhances sensory sensitivity through practice.
  • The impact of practice on subjective perception and confidence remains under-explored.
  • Visual psychophysics and computational modeling offer insights into perceptual changes.

Purpose of the Study:

  • To investigate how practice affects subjective confidence in visual perception.
  • To differentiate between perceptual ability and confidence changes post-training.
  • To identify common decision-making mechanisms underlying confidence and choice.

Main Methods:

  • Visual search experiments to train target detection.
  • Psychophysical protocols (attentional blink, visual masking) to assess target visibility.
  • Computational modeling to analyze behavioral data and decision processes.

Main Results:

  • Participants significantly improved detection of the trained target.
  • Confidence increased only in the attentional blink task, not visual masking.
  • Perceptual ability was found to be independent of processing time.
  • Learning was associated with changes in decision criteria, not solely early cortical representations.

Conclusions:

  • Perceptual learning enhances visual sensitivity and can alter confidence levels.
  • Task-specific changes in confidence suggest modulation of decision criteria.
  • Computational models reveal shared mechanisms for decision-making and confidence reporting.
  • Learned improvements in perception involve both enhanced processing and adjusted decision strategies.