View in EDS

Modeling Perceptual Confidence and the Confidence Forced-Choice Paradigm.

Saved in:
Bibliographic Details
Title: Modeling Perceptual Confidence and the Confidence Forced-Choice Paradigm.
Authors: Mamassian, Pascal1 pascal.mamassian@ens.fr, de Gardelle, Vincent2
Source: Psychological Review. Oct2022, Vol. 129 Issue 5, p976-998. 23p.
Subject Terms: *Confidence, Judgment (Psychology), Legal judgments, Stimulus & response (Psychology), Noise
Abstract: Perceptual confidence is an evaluation of the validity of our perceptual decisions. We present here a complete generative model that describes how confidence judgments result from some confidence evidence. The model that generates confidence evidence has two main parameters, confidence noise and confidence boost. Confidence noise reduces the sensitivity to the confidence evidence, and confidence boost accounts for information used for confidence judgment which was not used for the perceptual decision. The opposite effect of these two parameters creates a problem of confidence parameters indeterminacy, where the confidence in a perceptual decision is the same in spite of differences in confidence noise and confidence boost. When confidence is estimated for multiple stimulus strengths, both of these parameters can be recovered, thus allowing us to estimate whether confidence is generated using the same primary information that was used for the perceptual decision or some secondary information. We also describe a novel measure of confidence efficiency relative to the ideal confidence observer, as well as the estimate of one type of confidence bias. Finally, we apply the model to the confidence forced-choice paradigm, a paradigm that provides objective estimates of confidence, and we discuss how each parameter of the model can be recovered using this paradigm. [ABSTRACT FROM AUTHOR]
Copyright of Psychological Review is the property of American Psychological Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
FullText Text:
  Availability: 0
Header DbId: ehh
DbLabel: Education Research Complete
An: 161777522
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Modeling Perceptual Confidence and the Confidence Forced-Choice Paradigm.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Mamassian%2C+Pascal%22">Mamassian, Pascal</searchLink><relatesTo>1</relatesTo><i> pascal.mamassian@ens.fr</i><br /><searchLink fieldCode="AR" term="%22de+Gardelle%2C+Vincent%22">de Gardelle, Vincent</searchLink><relatesTo>2</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Psychological+Review%22">Psychological Review</searchLink>. Oct2022, Vol. 129 Issue 5, p976-998. 23p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Confidence%22">Confidence</searchLink><br /><searchLink fieldCode="DE" term="%22Judgment+%28Psychology%29%22">Judgment (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Legal+judgments%22">Legal judgments</searchLink><br /><searchLink fieldCode="DE" term="%22Stimulus+%26+response+%28Psychology%29%22">Stimulus & response (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Noise%22">Noise</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Perceptual confidence is an evaluation of the validity of our perceptual decisions. We present here a complete generative model that describes how confidence judgments result from some confidence evidence. The model that generates confidence evidence has two main parameters, confidence noise and confidence boost. Confidence noise reduces the sensitivity to the confidence evidence, and confidence boost accounts for information used for confidence judgment which was not used for the perceptual decision. The opposite effect of these two parameters creates a problem of confidence parameters indeterminacy, where the confidence in a perceptual decision is the same in spite of differences in confidence noise and confidence boost. When confidence is estimated for multiple stimulus strengths, both of these parameters can be recovered, thus allowing us to estimate whether confidence is generated using the same primary information that was used for the perceptual decision or some secondary information. We also describe a novel measure of confidence efficiency relative to the ideal confidence observer, as well as the estimate of one type of confidence bias. Finally, we apply the model to the confidence forced-choice paradigm, a paradigm that provides objective estimates of confidence, and we discuss how each parameter of the model can be recovered using this paradigm. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Psychological Review is the property of American Psychological Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=161777522
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1037/rev0000312
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 23
        StartPage: 976
    Subjects:
      – SubjectFull: Confidence
        Type: general
      – SubjectFull: Judgment (Psychology)
        Type: general
      – SubjectFull: Legal judgments
        Type: general
      – SubjectFull: Stimulus & response (Psychology)
        Type: general
      – SubjectFull: Noise
        Type: general
    Titles:
      – TitleFull: Modeling Perceptual Confidence and the Confidence Forced-Choice Paradigm.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Mamassian, Pascal
      – PersonEntity:
          Name:
            NameFull: de Gardelle, Vincent
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 0033295X
          Numbering:
            – Type: volume
              Value: 129
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Psychological Review
              Type: main
ResultId 1