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
Parents
20
Refining Network Intents for Self-Driving Networks
Arthur Selle Jacobs, Ricardo J. Pfitscher, Ronaldo A. Ferreira et al. · 2018 · 89 citations · Full text
Research on Human-Computer Interaction Intention Recognition Based on EEG and Eye Movement
Minrui Zhao, Gao Hongni, Wei Wang et al. · IEEE Access · 2020 · 37 citations · Full text
1–5 of 20
42
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2
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2
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University of Illinois Urbana-Champaign, United States
2 publications · 120 citations
2
h-index
1–5 of 42
19
Georgia Institute of Technology
Atlanta, United States
3 h-index
9 publications
456 citations
Universidade Federal do Rio Grande do Sul
Porto Alegre, Brazil
2 h-index
6 publications
297 citations
Mosaic ATM (United States)
Leesburg, United States
2 h-index
2 publications
29 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
4 publications
58 citations
North Carolina State University
Raleigh, United States
1 h-index
1 publications
24 citations
Ford Motor Company (United States)
Dearborn, United States
1 h-index
1 publications
35 citations
Korea Atomic Energy Research Institute
Daejeon, South Korea
1 h-index
1 publications
12 citations
Air Force Engineering University
Xi'an, China
1 h-index
4 publications
148 citations
1–8 of 19
1 publications · 37 citations
2
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JAIS · 1 publications · 19 citations
1
h-index
1 publications · 17 citations
1
h-index
1 publications · 19 citations
1
h-index
1 publications · 35 citations
1
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1–5