Expertise Capture

Expertise Capture is a methodological construct within cognitive task analysis that systematically extracts, represents, and preserves the tacit and explicit knowledge, decision-making strategies, and performance heuristics of domain experts in order to model, transfer, or replicate skilled behavior in a given task domain.

58

Publications

2.8K

Citations

157

Authors

79

Institutions

Publications per year

2017–2026

13

Authors

157

  1. BM
    Brent Miller

    University of California, Irvine, United States

    2 publications · 61 citations

    2

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  2. KJ
    Kristian J. Hammond

    Northwestern University, United States

    2 publications · 34 citations

    2

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  3. MS
    Mark Steyvers

    University of California, Irvine, United States

    2 publications · 61 citations

    2

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  4. ML
    Michael Lee

    University of California, Irvine, United States

    2 publications · 61 citations

    2

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  5. AJ
    Aaron J. Coutts

    University of Technology Sydney, Australia

    1 publications · 89 citations

    1

    h-index

1–5 of 157

Venues

  1. Digital Commons - USU (Utah State University)

    Repository · 2 publications · 276 citations

    2

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  2. 2

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  3. Information and Organization

    1 publications · 27 citations

    1

    h-index

  4. 1

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  5. 1

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1–5