Operator Intent Recognition

Operator Intent Recognition is a supervisory control methodology that identifies and interprets human operators' goal-directed actions and decision-making patterns within dynamic systems to enable adaptive automation support.

20

Publications

675

Citations

42

Authors

19

Institutions

Publications per year

2017–2026

9

Authors

42

  1. CM
    Christine Mitchell

    Harvard University, United States

    3 publications · 152 citations

    3

    h-index

  2. KL
    Kenneth Leiden

    Mosaic ATM (United States), United States

    2 publications · 29 citations

    2

    h-index

  3. KS
    Kenneth S. Rubin

    Georgia Institute of Technology, United States

    2 publications · 120 citations

    2

    h-index

  4. IH
    Inseok Hwang

    Purdue University West Lafayette, United States

    2 publications · 29 citations

    2

    h-index

  5. PM
    Patricia M. Jones

    University of Illinois Urbana-Champaign, United States

    2 publications · 120 citations

    2

    h-index

1–5 of 42

Venues

  1. IEEE Access

    1 publications · 37 citations

    2

    h-index

  2. Journal of Aerospace Information Systems

    JAIS · 1 publications · 19 citations

    1

    h-index

  3. 1

    h-index

  4. International Journal of Man-Machine Studies

    1 publications · 19 citations

    1

    h-index

  5. 1

    h-index

1–5