Journal ArticleDOI
Naturalistic Decision Making
TLDR
The origins and contributions of the naturalistic decision making research approach, which 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.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.read more
Citations
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A new accident model for engineering safer systems
TL;DR: In this paper, the authors present a new accident model based on basic systems theory concepts, which provides a theoretical foundation for the introduction of unique new types of accident analysis, hazard analysis, accident prevention strategies including new approaches to designing for safety, risk assessment techniques, and approaches to design performance monitoring and safety metrics.
Journal ArticleDOI
The impact of sleep deprivation on decision making: a review
Yvonne Harrison,James Horne +1 more
TL;DR: SD presents particular difficulties for sleep-deprived decision makers who require these latter skills during emergency situations, as well as decision-making models developed outside SD, as does a neuropsychological explanation of sleep function.
Journal ArticleDOI
Effectual versus predictive logics in entrepreneurial decision-making: Differences between experts and novices
TL;DR: This article found that expert entrepreneurs framed problems in a dramatically different way than novices, focusing more on building the venture as a whole, paying less attention to predictive information, and worrying more about making do with resources on hand to invest only what they could afford to lose.
Journal ArticleDOI
Coping with Uncertainty: A Naturalistic Decision-Making Analysis
Raanan Lipshitz,Orna Strauss +1 more
TL;DR: In this paper, the authors analyzed 102 self-reports of decision-making under uncertainty with an inclusive method of classifying conceptualizations of uncertainty and coping mechanisms developed from the decisionmaking literature and found that decision makers distinguished among three types of uncertainty: inadequate understanding, incomplete information, and undifferentiated alternatives.
Journal ArticleDOI
Taking stock of naturalistic decision making
TL;DR: NaturalNaturalistic Decision Making (NDM) as mentioned in this paper is a well-known decision-making approach that uses expertise in sizing up situations and generating options, as well as a new perspective on how decisions (broadly defined as committing oneself to a certain course of action).
References
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Book
Judgment Under Uncertainty: Heuristics and Biases
Amos Tversky,Daniel Kahneman +1 more
TL;DR: The authors described three heuristics that are employed in making judgements under uncertainty: representativeness, availability of instances or scenarios, and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value is available.
Journal ArticleDOI
Judgment Under Uncertainty: Heuristics and Biases.
TL;DR: Three heuristics that are employed in making judgements under uncertainty are described: representativeness, availability of instances or scenarios, which is often employed when people are asked to assess the frequency of a class or the plausibility of a particular development.
Journal ArticleDOI
Maps of Bounded Rationality: Psychology for Behavioral Economics
TL;DR: Kahneman as mentioned in this paper made a statement based on worked out together with Shane Federik the quirkiness of human judgment, which was later used in his speech at the Nobel Prize in economics.