Literature DB >> 29043657

Confidence in masked orientation judgments is informed by both evidence and visibility.

Manuel Rausch1,2, Sebastian Hellmann3, Michael Zehetleitner3,4.   

Abstract

How do human observers determine their degree of belief that they are correct in a decision about a visual stimulus-that is, their confidence? According to prominent theories of confidence, the quality of stimulation should be positively related to confidence in correct decisions, and negatively to confidence in incorrect decisions. However, in a backward-masked orientation task with a varying stimulus onset asynchrony (SOA), we observed that confidence in incorrect decisions also increased with stimulus quality. Model fitting to our decision and confidence data revealed that the best explanation for the present data was the new weighted evidence-and-visibility model, according to which confidence is determined by evidence about the orientation as well as by the general visibility of the stimulus. Signal detection models, postdecisional accumulation models, two-channel models, and decision-time-based models were all unable to explain the pattern of confidence as a function of SOA and decision correctness. We suggest that the metacognitive system combines several cues related to the correctness of a decision about a visual stimulus in order to calculate decision confidence.

Entities:  

Keywords:  Cognitive modeling; Confidence; Masking; Math modeling; Metacognition; Perceptual decision making; Signal detection theory; Visual perception

Mesh:

Year:  2018        PMID: 29043657     DOI: 10.3758/s13414-017-1431-5

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.199


  8 in total

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Review 2.  Sources of Metacognitive Inefficiency.

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3.  Judgments of agency are affected by sensory noise without recruiting metacognitive processing.

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4.  The folded X-pattern is not necessarily a statistical signature of decision confidence.

Authors:  Manuel Rausch; Michael Zehetleitner
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5.  The positive evidence bias in perceptual confidence is unlikely post-decisional.

Authors:  Jason Samaha; Rachel Denison
Journal:  Neurosci Conscious       Date:  2022-07-26

6.  Contributions of anterior cingulate cortex and basolateral amygdala to decision confidence and learning under uncertainty.

Authors:  A Stolyarova; M Rakhshan; E E Hart; T J O'Dell; M A K Peters; H Lau; A Soltani; A Izquierdo
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7.  Explaining distortions in metacognition with an attractor network model of decision uncertainty.

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Journal:  PLoS Comput Biol       Date:  2021-07-26       Impact factor: 4.475

8.  Modelling visibility judgments using models of decision confidence.

Authors:  Manuel Rausch; Sebastian Hellmann; Michael Zehetleitner
Journal:  Atten Percept Psychophys       Date:  2021-06-04       Impact factor: 2.199

  8 in total

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