Confidence reflects a noisy decision reliability estimate
Open accessPublished version of a preprint
Abstract
Decisions vary in difficulty. Humans know this and typically report more confidence in easy than in difficult decisions. However, confidence reports do not perfectly track decision accuracy, but also reflect response biases and difficulty misjudgements. To isolate the quality of confidence reports, we developed a model of the decision-making process underlying choice-confidence data. In this model, confidence reflects a subject's estimate of the reliability of their decision. The quality of this estimate is limited by the subject's uncertainty about the uncertainty of the variable that informs their decision ('meta-uncertainty'). This model provides an accurate account of choice-confidence data across a broad range of perceptual and cognitive tasks, investigated in six previous studies. We find meta-uncertainty varies across subjects, is stable over time, generalizes across some domains and can be manipulated experimentally. The model offers a parsimonious explanation for the computational processes that underlie and constrain the sense of confidence.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Bayesian inference with probabilistic population codes
Ma, W. J., Beck, J. M., Latham, P. E., & Pouget, A. (2006) · Nature Neuroscience · doi:10.1038/nn1790 · Cited by 1,457 · see citing works
Fleming, S. M., & Lau, H. C. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00443 · Cited by 1,386 · see citing works
Motion illusions as optimal percepts
Weiss, Y., Simoncelli, E. P., & Adelson, E. H. (2002) · Nature Neuroscience · doi:10.1038/nn0602-858 · Cited by 1,076 · see citing works
Representation of Confidence Associated with a Decision by Neurons in the Parietal Cortex
Kiani, R., & Shadlen, M. N. (2009) · Science · doi:10.1126/science.1169405 · Cited by 1,027 · see citing works
A comparison of current measures of the accuracy of feeling-of-knowing predictions
Nelson, T. O. (1984) · Psychological Bulletin · doi:10.1037/0033-2909.95.1.109 · Cited by 976 · see citing works
The effect of stimulus strength on the speed and accuracy of a perceptual decision
Palmer, J., Huk, A. C., & Shadlen, M. N. (2005) · Journal of Vision · doi:10.1167/5.5.1 · Cited by 691 · see citing works
Choice Certainty Is Informed by Both Evidence and Decision Time
Kiani, R., Corthell, L., & Shadlen, M. N. (2014) · Neuron · doi:10.1016/j.neuron.2014.12.015 · Cited by 470 · see citing works
Anatomical coupling between distinct metacognitive systems for memory and visual perception
McCurdy, L. Y., Maniscalco, B., Metcalfe, J., Liu, K. Y., de Lange, F. P., & Lau, H. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1890-12.2013 · Cited by 299 · see citing works
A neural mechanism for sensing and reproducing a time interval
Jazayeri, M., & Shadlen, M. N. (2015) · Current Biology · doi:10.1016/j.cub.2015.08.038 · Cited by 210 · see citing works
Neural evidence accumulation persists after choice to inform metacognitive judgments
Murphy, P. R., Robertson, I. H., Harty, S., & O'Connell, R. G. (2015) · eLife · doi:10.7554/elife.11946 · Cited by 170 · see citing works
Rahnev, D., Desender, K., Lee, A. L. F., Adler, W. T., Aguilar-Lleyda, D., Akdoğan, B., Arbuzova, P., Atlas, L. Y., Balcı, F., Bang, J. W., et al. (2020) · Nature Human Behaviour · doi:10.1038/s41562-019-0813-1 · Cited by 151 · see citing works
Comparing Bayesian and non-Bayesian accounts of human confidence reports
Adler, W. T., & Ma, W. J. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006572 · Cited by 118 · see citing works
Subjective confidence reflects representation of Bayesian probability in cortex
Geurts, L. S., Cooke, J. R. H., van Bergen, R. S., & Jehee, J. F. M. (2022) · Nature Human Behaviour · doi:10.1038/s41562-021-01247-w · Cited by 104 · see citing works
Confidence as a Common Currency between Vision and Audition
de Gardelle, V., Le Corre, F., & Mamassian, P. (2016) · PLOS ONE · doi:10.1371/journal.pone.0147901 · Cited by 95 · see citing works
Modeling perceptual confidence and the confidence forced-choice paradigm.
Mamassian, P., & de Gardelle, V. (2022) · Psychological Review · doi:10.1037/rev0000312 · Cited by 70 · see citing works
Trial-to-trial, uncertainty-based adjustment of decision boundaries in visual categorization
Qamar, A. T., Cotton, R. J., George, R. G., Beck, J. M., Prezhdo, E., Laudano, A., Tolias, A. S., & Ma, W. J. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1219756110 · Cited by 64 · see citing works
Khalvati, K., Kiani, R., & Rao, R. P. N. (2021) · Nature Communications · doi:10.1038/s41467-021-25419-4 · Cited by 64 · see citing works
Consensus Goals in the Field of Visual Metacognition
Rahnev, D., Balsdon, T., Charles, L., de Gardelle, V., Denison, R., Desender, K., Faivre, N., Filevich, E., Fleming, S. M., Jehee, J., et al. (2022) · Perspectives on Psychological Science · doi:10.1177/17456916221075615 · Cited by 63 · see citing works
Examining the robustness of the relationship between metacognitive efficiency and metacognitive bias
Xue, K., Shekhar, M., & Rahnev, D. (2021) · Consciousness and Cognition · doi:10.1016/j.concog.2021.103196 · Cited by 45 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Metacognition and Confidence: A Review and Synthesis
Fleming, S. M. (2024) · Annual Review of Psychology · doi:10.1146/annurev-psych-022423-032425 · Cited by 256 · see citing works
- Authors
- Boundy-Singer, Z. M., Ziemba, C. M., & Goris, R. L. T.
- Affiliations
- The University of Texas at Austin (US)
- Corresponding author
- Goris, Robbe L. T.
- Venue
- Nature Human Behaviour
- Published
- 2022-11-07
- Volume
- 7
- Issue
- 1
- Pages
- 142-154
- ISSN
- 2397-3374 (ISSN-L)
- OpenAlex
- W4308458860
- Cited by
- 71
- References
- 19
- Citations by year
- 2026: 10 · 2025: 21 · 2024: 25 · 2023: 13 · 2022: 2
- FWCI
- 10.35
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Nature Human Behaviour (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Science Foundation
- U.S. Department of Health & Human Services | NIH | National Eye Institute (T32 EY021462, K99 EY032102, EY032999)
- Whitehall Foundation
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- decision confidence, decision reliability, response bias, decision difficulty, confidence judgments, computational models of decision making, perceptual decision making, cognitive decision-making
- MeSH terms
- Decision Making, Humans, Reproducibility of Results, Uncertainty
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review