Human-automation Collaboration

Human-Automation Collaboration is a systematic framework in which human agents and automated systems dynamically integrate their complementary capabilities to achieve shared decision-making goals, distinguished by bidirectional interaction, role allocation, and mutual adaptation within ethical, cognitive, and operational constraints.

534

Publications

30.5K

Citations

1.6K

Authors

643

Institutions

Publications per year

2017–2026

287

Authors

1.6K

  1. MP
    Marie‐Pierre Pacaux‐Lemoine

    Laboratoire d'Automatique, de Mécanique et d'Informatique Industrielles et Humaines, France

    13 publications · 664 citations

    13

    h-index

  2. FF
    Frank Flemisch

    RWTH Aachen University, Germany

    12 publications · 837 citations

    10

    h-index

  3. NS
    Nadine Sarter

    University of Michigan, United States

    8 publications · 441 citations

    8

    h-index

  4. ML
    Mary L. Cummings

    Massachusetts Institute of Technology, United States

    8 publications · 290 citations

    8

    h-index

  5. DD
    David D. Woods

    The Ohio State University, United States

    8 publications · 1.4K citations

    8

    h-index

1–5 of 1.6K

Venues

  1. 16

    h-index

  2. 13

    h-index

  3. Cognition Technology & Work

    14 publications · 2.1K citations

    13

    h-index

  4. IFAC-PapersOnLine

    12 publications · 409 citations

    12

    h-index

  5. Theoretical Issues in Ergonomics Science

    TIES · 9 publications · 1.2K citations

    9

    h-index

1–5