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Human Metacognition Across Domains: Insights from Individual Differences and Neuroimaging
Open accessAbstract
Metacognition is the capacity to evaluate and control one’s own cognitive processes. Metacognition operates over a range of cognitive domains, such as perception and memory, but the neurocognitive architecture supporting this ability remains controversial. Is metacognition enabled by a common, domain-general resource that is recruited to evaluate performance on a variety of tasks? Or is metacognition reliant on domain-specific modules? This article reviews recent literature on the domain-generality of human metacognition, drawing on evidence from individual differences and neuroimaging. A meta-analysis of behavioral studies found that perceptual metacognitive ability was correlated across different sensory modalities, but found no correlation between metacognition of perception and memory. However, evidence for domain-generality from behavioral data may suffer from a lack of power to identify correlations across model parameters indexing metacognitive efficiency. Neuroimaging data provide a complementary perspective on the domain-generality of metacognition, revealing co-existence of neural signatures that are common and distinct across tasks. We suggest that such an architecture may be appropriate for “tagging” generic feelings of confidence with domain-specific information, in turn forming the basis for priors about self-ability and modulation of higher-order behavioral control.
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“The generative nature of GenAI-its 'originality' [157]-means that many user workflows will or have shifted from users generating content to evaluating it [149,154], as already documented in programming [156] and manufacturing design [70].”
From The Metacognitive Demands and Opportunities of Generative AI (2024) · cites this paper as [149]
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“We argue that this imposes a distinct metacognitive demand on users that must make these decisions, akin to [149], who make a similar argument for digital storage and memory.”
From The Metacognitive Demands and Opportunities of Generative AI (2024) · cites this paper as [149]
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“Analogously, as we offload more of our cognition to today's GenAI systems, the demand for our metacognition increases [149].”
From The Metacognitive Demands and Opportunities of Generative AI (2024) · cites this paper as [149]
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Citations
Cites
Self-efficacy: Toward a unifying theory of behavioral change
Bandura, A. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.191 · Cited by 43,925
Conducting Meta-Analyses in R with the metafor Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464
Self-efficacy: Toward a unifying theory of behavioral change
Bandura, A. (1978) · Advances in Behaviour Research and Therapy · doi:10.1016/0146-6402(78)90002-4 · Cited by 10,586
A neural system for error detection and compensation
Gehring, W. J., Goss, B., Coles, M. G. H., Meyer, D. E., & Donchin, E. (1993) · Psychological Science · doi:10.1111/j.1467-9280.1993.tb00586.x · Cited by 2,862
Metamemory: A Theoretical Framework and New Findings
Nelson, T. O. (1990) · Psychology of Learning and Motivation · doi:10.1016/s0079-7421(08)60053-5 · Cited by 2,583
The multiple-demand (MD) system of the primate brain: mental programs for intelligent behaviour
Duncan, J. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.01.004 · Cited by 1,846
Uniting the Tribes of Fluency to Form a Metacognitive Nation
Alter, A. L., & Oppenheimer, D. M. (2009) · Personality and Social Psychology Review · doi:10.1177/1088868309341564 · Cited by 1,821
Fleming, S. M., & Lau, H. C. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00443 · Cited by 1,408 · cited 2×
“By applying a modification of signal detection theory (SDT), known as “ type 2 ” SDT, it is possible to quantify sensitivity and bias of ratings with respect to objective performance (Clarke, Birdsall, & Tanner, 1959; Fleming & Lau, 2014; Galvin, Podd, Drga, & Whitmore, 2003).”
MethodSelf-citationLocalization of a Neural System for Error Detection and Compensation
Dehaene, S., Posner, M. I., & Tucker, D. M. (1994) · Psychological Science · doi:10.1111/j.1467-9280.1994.tb00630.x · Cited by 1,255
David, A. S. (1990) · The British Journal of Psychiatry · doi:10.1192/bjp.156.6.798 · Cited by 1,183
Flagged first, then by citations
Research works printed but not linked: 1
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Geurten, M., & Lemaire, P. (2022) · Consciousness and Cognition · doi:10.1016/j.concog.2022.103430 · Cited by 6
What is the relationship between collective memory and metacognition?
Lund, A. E., & Russell, C. (2022) · Progress in brain research · doi:10.1016/bs.pbr.2022.07.006 · Cited by 6
Neuroanatomical correlates of self-awareness of highly practiced visuomotor skills
Li, J., Lin, Z., Tao, R., Xu, M., Kong, S., Bi, H., & Yang, Y. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02328-2 · Cited by 6
Online self-evaluation of fMRI-based neurofeedback performance
Muñoz-Moldes, S., Tursic, A., Lührs, M., Eck, J., Benitez-Andonegui, A., Peters, J. C., Axel Cleeremans, B., & Goebel, R. (2024) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2023.0089 · Cited by 8
Lebuda, I., & Benedek, M. (2024) · Physics of Life Reviews · doi:10.1016/j.plrev.2024.06.012 · Cited by 6
Bourke, N., Trender, W. R., Hampshire, A., Lai, H., Demarchi, C., David, M., Hellyer, P. J., Sharp, D. J., & Friedland, D. (2022) · Neuropsychological Rehabilitation · doi:10.1080/09602011.2022.2034650 · Cited by 5
Metacognition facilitates theory of mind through optimal weighting of trait inferences
Long, E. L., Catmur, C., Fleming, S. M., & Bird, G. (2024) · Cognition · doi:10.1016/j.cognition.2024.106042 · Cited by 5
Self-citationSaccenti, D., Moro, A. S., Salvetti, G., Sassaroli, S., Malgaroli, A., Lamanna, J., & Ferro, M. (2025) · Biomedicines · doi:10.3390/biomedicines13071522 · Cited by 5
Susceptibility of agency judgments to social influence
Baptista, A., Jacquet, P. O., Sidarus, N., Cohen, D., & Chambon, V. (2021) · Cognition · doi:10.1016/j.cognition.2022.105173 · Cited by 6
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Barrientos, M., Valenzuela, P., Hojman, V., & Gabriel Reyes, M. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.910132 · Cited by 9
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Alavash, M., & Obleser, J. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.2322-23.2024 · Cited by 5
Kopčanová, M., Ince, R. A. A., & Benwell, C. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.21.537831 · Cited by 6
Miyoshi, K., Webb, T. W., Rahnev, D., & Lau, H. C. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-820480-1.00049-8 · Cited by 10
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Yılmaz, B., Reyhan Furman, A., Göksun, T., & Eskenazi, T. (2025) · Cognitive Science · doi:10.1111/cogs.70093 · Cited by 4
Jurado, C., Larrea, M., Rosero, D., Vizuete, J., & Marquardt, T. (2021) · Timing & Time Perception · doi:10.1163/22134468-bja10043 · Cited by 4
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Çabuk, D., Yelimlieş, A., Akçay, Ç., & Eskenazi, T. (2022) · Psychological Research · doi:10.1007/s00426-022-01782-9 · Cited by 4
Lehmann, M., Neumann, C., Wasserthal, S., Delis, A., Schultz, J., Hurlemann, R., & Ettinger, U. (2022) · Behavioural Brain Research · doi:10.1016/j.bbr.2022.113925 · Cited by 5
Mäntylä, T. J. S., Kieseppä, T., Suvisaari, J., & Raij, T. T. (2021) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2021.111347 · Cited by 4
Mora, M. G., DesRuisseaux, L. A., & Suchy, Y. (2024) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617724000614 · Cited by 3
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Sabaliauskas, S., Gražulis, D., Žilinskienė, N., & Kaukėnas, T. (2022) · Research Square · doi:10.21203/rs.3.rs-2121161/v1
Young, J. H. (2023) · Wiley eBooks · doi:10.1002/9781119767398.furread
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Metadata
- Authors
- Rouault, M., McWilliams, A., Allen, M. G., & Fleming, S. M.
- Affiliations
- Wellcome Centre for Human Neuroimaging (GB)
- Max Planck Society (DE)
- Corresponding author
- Fleming, Stephen M.
- Venue
- Personality Neuroscience
- Publisher
- Cambridge University Press (CUP)
- Published
- 2018
- Volume
- 1
- Pages
- e17
- ISSN
- 2513-9886 (ISSN-L)
- PMC
- PMC6217996
- OpenAlex
- W2899651677
- Cited by
- 176
- References
- 113
- Citations by year
- 2026: 18 · 2025: 25 · 2024: 24 · 2023: 25 · 2022: 33 · 2021: 25 · 2020: 16 · 2019: 7 · 2018: 3
- FWCI
- 7.59
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Personality Neuroscience (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Research Portal (King's College London) (publishedVersion, cc-by-nc-nd)
- HAL (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust (203147/Z/16/Z, 203147, 206648, 203147/Z/16/)
- National Institute for Health and Care Research (ACF-2015-17-019)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- metacognition, domain generality, individual differences, confidence, self-assessment, sensory modalities, metacognitive efficiency
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