Hierarchical Task Models

Hierarchical Task Models is a formal task analysis framework that decomposes complex user activities into structured, multi-level subtasks arranged in a top-down refinement hierarchy, distinguishing itself from flat task models by explicitly representing task–subtask relationships and procedural dependencies.

310

Publications

17.2K

Citations

908

Authors

412

Institutions

Publications per year

2017–2026

90

Variants

Hierarchical Task Analysis ModelsHtm

Authors

908

  1. DN
    Dana Nau

    University of Maryland, College Park, United States

    14 publications · 2.9K citations

    14

    h-index

  2. HM
    Héctor Muñoz‐Avila

    Lehigh University, United States

    10 publications · 405 citations

    10

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  3. NA
    Neville A. Stanton

    University of Southampton, United Kingdom

    10 publications · 606 citations

    10

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  4. UK
    Ugur Kuter

    University of Maryland, College Park, United States

    8 publications · 348 citations

    8

    h-index

  5. DW
    David W. Aha

    United States Naval Research Laboratory, United States

    7 publications · 271 citations

    7

    h-index

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Venues

  1. Ergonomics

    10 publications · 422 citations

    10

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  2. Applied Ergonomics

    8 publications · 359 citations

    8

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  3. 5

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  4. Surgical Endoscopy

    5 publications · 184 citations

    5

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  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 169 citations

    5

    h-index

1–5