Human Operator Modeling

Human Operator Modeling is a computational framework that characterizes the cognitive and motor behaviors of human agents in bilateral control systems, distinguished by its integration of psychophysical limitations, feedback processing, and intent prediction to emulate real-time human-in-the-loop dynamics.

941

Publications

48.9K

Citations

2.4K

Authors

717

Institutions

Publications per year

2017–2026

175

Authors

2.4K

  1. DL
    David L. Kleinman

    University of Connecticut, United States

    12 publications · 1.3K citations

    12

    h-index

  2. ML
    Mary L. Cummings

    Massachusetts Institute of Technology, United States

    12 publications · 371 citations

    11

    h-index

  3. SB
    Sheldon Baron

    Berman Center for Outcomes and Clinical Research, United States

    12 publications · 1.3K citations

    11

    h-index

  4. MM
    M. M. van Paassen

    Delft University of Technology, Netherlands

    11 publications · 433 citations

    11

    h-index

  5. DT
    Duane T. McRuer

    Systems Technology (United States), United States

    10 publications · 1.4K citations

    10

    h-index

1–5 of 2.4K

Venues

  1. IEEE Transactions on Systems Man and Cybernetics

    33 publications · 1.5K citations

    21

    h-index

  2. 17

    h-index

  3. IEEE Transactions on Human-Machine Systems

    15 publications · 946 citations

    13

    h-index

  4. 13

    h-index

  5. 12

    h-index

1–5