Literature DB >> 27151633

Becoming Confident in the Statistical Nature of Human Confidence Judgments.

Jan Drugowitsch1.   

Abstract

In this issue of Neuron, Sanders et al. (2016) demonstrate that human confidence judgments seem to arise from computations compatible with statistical decision theory, shining a new light on the old questions of how such judgments are formed.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bayesian models; confidence; decision making; uncertainty

Mesh：

Year:  2016        PMID： 27151633     DOI： 10.1016/j.neuron.2016.04.023

Source DB:  PubMed          Journal:  Neuron        ISSN： 0896-6273            Impact factor:   17.173


  5 in total

1.  Variance misperception under skewed empirical noise statistics explains overconfidence in the visual periphery.

Authors:  Charles J Winter; Megan A K Peters
Journal:  Atten Percept Psychophys       Date:  2021-08-23       Impact factor: 2.199

2.  Two sides of the same coin: Monetary incentives concurrently improve and bias confidence judgments.

Authors:  Maël Lebreton; Shari Langdon; Matthijs J Slieker; Jip S Nooitgedacht; Anna E Goudriaan; Damiaan Denys; Ruth J van Holst; Judy Luigjes
Journal:  Sci Adv       Date:  2018-05-30       Impact factor: 14.136

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

Authors:  Manuel Rausch; Michael Zehetleitner
Journal:  PLoS Comput Biol       Date:  2019-10-21       Impact factor: 4.475

4.  Reverse engineering of metacognition.

Authors:  Matthias Guggenmos
Journal:  Elife       Date:  2022-09-15       Impact factor: 8.713

5.  Confidence is higher in touch than in vision in cases of perceptual ambiguity.

Authors:  Merle T Fairhurst; Eoin Travers; Vincent Hayward; Ophelia Deroy
Journal:  Sci Rep       Date:  2018-10-23       Impact factor: 4.379
  5 in total

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