A naturalistic decision making perspective on studying intuitive decision making.

Gary Klein

Journal of Applied Research in Memory and Cognition · 2015 · 304 citations · 23 references

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TL;DR

The Naturalistic Decision Making community defines intuition as tacit knowledge derived from extensive pattern experience, contrasting with Fast and Frugal Heuristics and Heuristics and Biases views that see intuition as heuristics or bias. The paper offers seven recommendations to help Fast and Frugal Heuristics and Heuristics and Biases researchers enhance intuitive decision making and produce more applicable research.

Abstract

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.

References

23