Accounts of the confidence-accuracy relation in recognition memory
Open accessAbstract
Confidence and accuracy, while often considered to tap the same memory representation, are often found to be only weakly correlated (e.g., Bothwell, Deffenbacher, & Brigham, 1987; Deffenbacher, 1980). There are at least two possible (nonexclusive) reasons for this weak relation. First, it may be simply due to noise of one sort or another; that is, it may come about because of both within- and between-subjects statistical variations that are partially uncorrelated for confidence measures on the one hand and accuracy measures on the other. Second, confidence and accuracy may be uncorrelated because they are based, at least in part, on different memory representations that are affected in different ways by different independent variables. We propose a general theory that is designed to encompass both of these possibilities and, within the context of this theory, we evaluate effects of four variables--degree of rehearsal, study duration, study luminance, and test luminance--in three face recognition experiments. In conjunction with our theory, the results allow us to begin to identify the circumstances under which confidence and accuracy are based on the same versus different sources of information in memory. The results demonstrate the conditions under which subjects are quite poor at monitoring their memory performance, and are used to extend cue utilization theories to the domain of face recognition.
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Similar boosts in fluency can be achieved by increasing the brightness of a face stimulus or the font size of a word stimulus, leading to greater confidence in recall without any change in performance.
“Similar boosts in fluency can be achieved by increasing the brightness of a face stimulus (Busey et al. 2000) or the font size of a word stimulus (Hu et al. 2015), leading to greater confidence in recall without any change in performance.”
From Metacognition and Confidence: A Review and Synthesis (2024) · cites this paper as Busey et al. 2000
The Results and Discussion report greater retrospective confidence for bright-tested than dim-tested faces. But the Implications of Confidence and Accuracy Dissociations section says that when a face is first viewed in the dark and then in bright light, accuracy goes down while confidence goes up—not that performance is unchanged. This source does not support the word-stimulus portion, which the citing sentence attributes to a different paper. (LLM, conf=0.88)
Experimental — accuracy not yet measured
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- Authors
- Busey, T. A., Tunnicliff, J., Loftus, G. R., & Loftus, E. F.
- Affiliations
- Indiana University Bloomington (US)
- University of Washington (US)
- Corresponding author
- Busey, Thomas A.
- Venue
- Psychonomic Bulletin & Review
- Published
- 2000-03
- Volume
- 7
- Issue
- 1
- Pages
- 26-48
- ISSN
- 1069-9384 (ISSN-L)
- 1531-5320
- OpenAlex
- W2082357606
- Cited by
- 277
- References
- 53
- Citations by year
- 2026: 5 · 2025: 11 · 2024: 5 · 2023: 11 · 2022: 12 · 2021: 15 · 2020: 7 · 2019: 12 · 2018: 13 · 2017: 12 · 2016: 11 · 2015: 17 · 2014: 17 · 2013: 14 · 2012: 21
- FWCI
- 2.44
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Psychonomic Bulletin & Review (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- recognition memory, metacognition, memory monitoring, face recognition (cognition), cue utilization theory, rehearsal, study duration, memory representation
- MeSH terms
- Cognition, Cues, Humans, Memory, Psychological Theory, Visual Perception, Signal Detection, Psychological
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 ›
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