Overcoming intuition: Metacognitive difficulty activates analytic reasoning.
Abstract
Humans appear to reason using two processing styles: System 1 processes that are quick, intuitive, and effortless and System 2 processes that are slow, analytical, and deliberate that occasionally correct the output of System 1. Four experiments suggest that System 2 processes are activated by metacognitive experiences of difficulty or disfluency during the process of reasoning. Incidental experiences of difficulty or disfluency--receiving information in a degraded font (Experiments 1 and 4), in difficult-to-read lettering (Experiment 2), or while furrowing one's brow (Experiment 3)--reduced the impact of heuristics and defaults in judgment (Experiments 1 and 3), reduced reliance on peripheral cues in persuasion (Experiment 2), and improved syllogistic reasoning (Experiment 4). Metacognitive experiences of difficulty or disfluency appear to serve as an alarm that activates analytic forms of reasoning that assess and sometimes correct the output of more intuitive forms of reasoning.
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Metacognitive experiences of difficulty or disfluency activate more analytical reasoning processes.
“Alter et al. (2007) demonstrated that metacognitive experiences of difficulty or disfluency activate more analytical reasoning processes.”
From Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance (2025) · cites this paper as Alter et al. (2007)
Manipulating the activation of these heuristics can be used to improve metacognitive control: increasing subjective processing difficulty stimulates more metacognitive control and thereby improves participants' performance on reasoning tasks that benefit from a more analytic processing style.
“Manipulating the activation of these heuristics (e.g., via priming) can be used to improve metacognitive control: increasing subjective processing difficulty (e.g., by using a degraded font) stimulates more metacognitive control and thereby improves participants' performance on reasoning tasks that benefit from a more analytic processing style [7].”
From The Metacognitive Demands and Opportunities of Generative AI (2024) · cites this paper as [7]
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“…via priming) can be used to improve metacognitive control: increasing subjective processing difficulty (e.g., by using a degraded font) stimulates more metacognitive control and thereby improves participants’ performance on reasoning tasks that benefit from a more analytic processing style [7].”
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The ‘whys’ and ‘whens’ of individual differences in thinking biases
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Just out of reach: On the reliability of the action-sentence compatibility effect.
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Heuristic Reasoning in Chemistry: Making decisions about acid strength
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- Authors
- Alter, A. L., Oppenheimer, D. M., Epley, N., & Eyre, R. N.
- Affiliations
- Princeton University (US)
- Harvard University (US)
- Venue
- Journal of Experimental Psychology: General
- Published
- 2007
- Volume
- 136
- Issue
- 4
- Pages
- 569-576
- ISSN
- 0096-3445 (ISSN-L)
- 1939-2222
- OpenAlex
- W2138921773
- Cited by
- 844
- References
- 46
- Citations by year
- 2026: 43 · 2025: 32 · 2024: 41 · 2023: 54 · 2022: 50 · 2021: 54 · 2020: 46 · 2019: 45 · 2018: 55 · 2017: 47 · 2016: 63 · 2015: 62 · 2014: 51 · 2013: 58 · 2012: 40
- FWCI
- 17.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Experimental Psychology General (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (051811; SES0241544)
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Life Sciences › Neuroscience › Cognitive Neuroscience › Cognitive Science and Education Research
- Keywords
- metacognition, analytical thinking, intuitive thinking, heuristics, syllogistic reasoning, persuasion, peripheral cues, cognitive effort, dual-process theory
- MeSH terms
- Cognition, Decision Making, Humans, Judgment, Pilot Projects, Intuition
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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