A naturalistic decision making perspective on studying intuitive decision making
By Gary Klein. 2015
242 citations recorded by the source corpus.
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.
Subfields: Artificial Intelligence, General Decision Sciences, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/c3c114d405b1d719fe749a4bb077c5262ea84c48
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In Artificial Intelligence
In General Decision Sciences
In Management Science and Operations Research
Citations in the corpus
- Augmenting Medical Diagnosis Decisions? An Investigation into Physicians' Decision-Making Process with Artificial Intelligence (2021, background): “…decision making (NDM) (Klein 2008, Klein 2015, see Table 4 on p. 15 for definitions of core concepts) asserts that decision makers first build an initial mental model (hereafter referred to as frame ) which is based on an intuitive assessment of the decision task (Klein 2008; Klein 2015).”