A naturalistic decision making perspective on studying intuitive decision making.
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Abstract The Naturalistic Decision Making (NDM) community defines intuition as based on large numbers of patterns gained through experience, resulting in different forms of tacit knowledge. This view contrasts with Fast and Frugal Heuristics (FFH) researchers, who view intuition in terms of general purpose heuristics. The NDM view also differs from the Heuristics and Biases (HB) community, which sees intuitions as a source of bias and error. Seven suggestions are offered to assist the FFH and H&B communities in improving intuitive decision making and in conducting research that has greater potential for application. Rather than trying to help people analyze which option to choose, the NDM community recommends that intuitions be strengthened by providing a broader experience base that lets people build better tacit knowledge, such as perceptual skills and richer mental models, as a means of achieving better decisions.
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Research in Naturalistic Decision Making demonstrates that system 1 thinking, called intuition, is a powerful source of problem solving that often produces better and/or faster decisions than system 2.
“First, research in Naturalistic Decision Making (NDM) demonstrates that 'system 1' thinking, which they call intuition, is a powerful source of problem solving that often produces better and/or faster decisions than system 2 [16].”
From Explainable AI is Dead, Long Live Explainable AI!: Hypothesis-driven Decision Support using Evaluative AI (2023) · cites this paper as [16]
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Intuition and managerial decision-making
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- Authors
- Klein, G.
- Corresponding author
- Klein, Gary
- ORCID
- Klein, Gary
- Venue
- Journal of Applied Research in Memory and Cognition
- Published
- 2015-09
- Volume
- 4
- Issue
- 3
- Pages
- 164-168
- ISSN
- 2211-3681 (ISSN-L)
- 2211-369X
- OpenAlex
- W1154580924
- Cited by
- 322
- References
- 55
- Citations by year
- 2026: 29 · 2025: 28 · 2024: 45 · 2023: 30 · 2022: 27 · 2021: 31 · 2020: 56 · 2019: 34 · 2018: 19 · 2017: 9 · 2016: 13 · 2015: 1
- FWCI
- 10.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Applied Research in Memory and Cognition (publishedVersion, other-oa)
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Keywords
- naturalistic decision making, intuitive decision making, tacit knowledge, fast and frugal heuristics, heuristics and biases, intuition, experience base, perceptual skills, mental models, decision-making
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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