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Related Experiment Videos

Knowledge partitioning: context-dependent use of expertise.

S Lewandowsky1, K Kirsner

  • 1Department of Psychology, University of Western Australia, Nedlands, Australia. lewan@psy.uwa.edu.au

Memory & Cognition
|May 3, 2000
PubMed
Summary
This summary is machine-generated.

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Expertise in bush fire prediction can falter, especially when key variables conflict. Experts sometimes make opposing predictions under identical conditions, suggesting expertise has distinct, potentially conflicting, knowledge components.

Area of Science:

  • Environmental Science
  • Cognitive Psychology

Background:

  • Expert performance is typically high but can be limited.
  • Bush fire spread prediction involves complex physical dynamics.

Purpose of the Study:

  • To investigate expert performance and errors in bush fire spread prediction.
  • To examine the influence of conflicting variables and problem context on expert judgment.

Main Methods:

  • Two experiments were conducted involving expert prediction of bush fire spread.
  • Analysis of prediction accuracy under varying conditions, including conflicting variables and different contexts.

Main Results:

  • Experts achieved high accuracy but made significant errors when predictor variables opposed each other.

Related Experiment Videos

  • Expert behavior varied with problem context, contrasting with novice performance.
  • Identical physical conditions led to opposing predictions across different contexts.

    • Conclusions:

    • Expertise in bush fire prediction is not monolithic.
    • Expert knowledge may consist of separate, sometimes mutually exclusive, components.
    • Contextual factors significantly influence expert decision-making in complex domains.