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The Confidence Database

  • Dobromir Rahnev
  • , Kobe Desender
  • , Alan L.F. Lee
  • , William T. Adler
  • , David Aguilar-Lleyda
  • , Başak Akdoğan
  • , Polina Arbuzova
  • , Lauren Y. Atlas
  • , Fuat Balcı
  • , Ji Won Bang
  • , Indrit Bègue
  • , Damian P. Birney
  • , Timothy F. Brady
  • , Joshua Calder-Travis
  • , Andrey Chetverikov
  • , Torin K. Clark
  • , Karen Davranche
  • , Rachel N. Denison
  • , Troy C. Dildine
  • , Kit S. Double
  • Yalçın A. Duyan, Nathan Faivre, Kaitlyn Fallow, Elisa Filevich, Thibault Gajdos, Regan M. Gallagher, Vincent de Gardelle, Sabina Gherman, Nadia Haddara, Marine Hainguerlot, Tzu Yu Hsu, Xiao Hu, Iñaki Iturrate, Matt Jaquiery, Justin Kantner, Marcin Koculak, Mahiko Konishi, Christina Koß, Peter D. Kvam, Sze Chai Kwok, Maël Lebreton, Karolina M. Lempert, Chien Ming Lo, Liang Luo, Brian Maniscalco, Antonio Martin, Sébastien Massoni, Julian Matthews, Audrey Mazancieux, Daniel M. Merfeld, Denis O’Hora, Eleanor R. Palser, Borysław Paulewicz, Michael Pereira, Caroline Peters, Marios G. Philiastides, Gerit Pfuhl, Fernanda Prieto, Manuel Rausch, Samuel Recht, Gabriel Reyes, Marion Rouault, Jérôme Sackur, Saeedeh Sadeghi, Jason Samaha, Tricia X.F. Seow, Medha Shekhar, Maxine T. Sherman, Marta Siedlecka, Zuzanna Skóra, Chen Song, David Soto, Sai Sun, Jeroen J.A. van Boxtel, Shuo Wang, Christoph T. Weidemann, Gabriel Weindel, Michał Wierzchoń, Xinming Xu, Qun Ye, Jiwon Yeon, Futing Zou, Ariel Zylberberg
  • College of Computing
  • University Medical Center Hamburg-Eppendorf
  • Ghent University
  • Lingnan University, Hong Kong
  • New York University
  • Université Panthéon-Sorbonne (Paris 1)
  • Columbia University
  • Bernstein Center for Computational Neuroscience Berlin
  • Humboldt-Universität zu Berlin
  • National Institutes of Health (NIH)
  • Department of Health and Human Services
  • National Institute on Drug Abuse (NIDA)
  • Koç University School of Medicine
  • New York University School of Medicine
  • University Hospitals of Geneva and University of Geneva
  • University of Sydney
  • University of California, San Diego
  • University of Oxford Medical Sciences Division
  • Donders Institute for Brain, Cognition and Behaviour
  • University of Colorado
  • CNRS
  • Karolinska Institutet
  • Oxford University and Nuffield College
  • LTHE (UMR 5564 CNRS/IRD/Université de Grenoble)
  • University of Victoria
  • University of Queensland
  • Vrije Universiteit Amsterdam
  • Monash University
  • University of Glasgow
  • Feinstein Institute for Medical Research
  • Erasmus School of Economics
  • Taipei Medical University
  • Beijing Normal University
  • National Institute of Neurological Disorders and Stroke (NINDS)
  • California State University, Northridge
  • Jagiellonian University
  • PSL research University & IPSL
  • University of Florida
  • East China Normal University
  • NYU Shanghai
  • University of Geneva
  • University of Pennsylvania School of Arts and Sciences
  • TMU Shuang-Ho Hospital
  • University of California at Riverside
  • Nancy Université
  • The Ohio State University
  • IDA Business Park
  • University of California San Francisco
  • University College London
  • UCL Queen Square Institute of Neurology
  • SWPS University of Social Sciences and Humanities
  • ENAC-IIC-GEL
  • University of Tromsø - The Arctic University of Norway
  • Universidad del Desarrollo
  • Catholic University of Eichstätt-Ingolstadt
  • Laboratoire des Systèmes Perceptifs
  • Cornell University
  • University of California, Santa Cruz
  • Trinity College Dublin
  • Sackler Centre for Consciousness Science
  • University of Sussex
  • Cardiff University Brain Research Imaging Centre
  • Brain and Language
  • CIBERfes
  • California Institute of Technology
  • University of Canberra
  • West Virginia University
  • Swansea University
  • University of Rochester

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

Résumé

Understanding how people rate their confidence is critical for the characterization of a wide range of perceptual, memory, motor and cognitive processes. To enable the continued exploration of these processes, we created a large database of confidence studies spanning a broad set of paradigms, participant populations and fields of study. The data from each study are structured in a common, easy-to-use format that can be easily imported and analysed using multiple software packages. Each dataset is accompanied by an explanation regarding the nature of the collected data. At the time of publication, the Confidence Database (which is available at https://osf.io/s46pr/) contained 145 datasets with data from more than 8,700 participants and almost 4 million trials. The database will remain open for new submissions indefinitely and is expected to continue to grow. Here we show the usefulness of this large collection of datasets in four different analyses that provide precise estimations of several foundational confidence-related effects.

langue originaleAnglais
Pages (de - à)317-325
Nombre de pages9
journalNature Human Behaviour
Volume4
Numéro de publication3
Les DOIs
étatPublié - 1 mars 2020

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