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Cited by 2,231

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Naturalistic Decision Making

Klein, Gary·2008·Human Factors: The Journal of the Human Factors and Ergonomics Society

Abstract

Objective: This article describes the origins and contributions of the naturalistic decision making (NDM) research approach. Background: NDM research emerged in the 1980s to study how people make decisions in real-world settings. Method: The findings and methods used by NDM researchers are presented along with their implications. Results: The NDM framework emphasizes the role of experience in enabling people to rapidly categorize situations to make effective decisions. Conclusion: The NDM focus on field settings and its interest in complex conditions provide insights for human factors practitioners about ways to improve performance. Application: The NDM approach has been used to improve performance through revisions of military doctrine, training that is focused on decision requirements, and the development of information technologies to support decision making and related cognitive functions.

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Metadata

Authors
Klein, G.
Venue
Human Factors: The Journal of the Human Factors and Ergonomics Society
Published
2008-06
Volume
50
Issue
3
Pages
456-460
ISSN
  • 0018-7208 (ISSN-L)
  • 1547-8181
OpenAlex
W2169613734
Cited by
2,231
References
7
FWCI
143.34
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Naturalistic Decision Making. https://app.cochat.ai/papers/10.1518/001872008x288385
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Klein, G. (2008). Naturalistic Decision Making. Human Factors: The Journal of the Human Factors and Ergonomics Society. https://doi.org/10.1518/001872008x288385

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.