A recent report on a vision for Air Force science and technology emphasized shifting 'from control to autonomy,' with a goal of developing autonomous systems that have significantly increased decision making capabilities, requiring little to no human input (Technology Horizons, 2010 p. 42). For future unmanned aerial vehicle (UAV) systems, the operator's central responsibility conceivably shifts from teleoperation to monitoring machines' autonomous activities. Yet research has shown that high levels of automation are negatively related to operator's situation awareness and knowledge of system intent, which can lead to poor decisions and inappropriate responses or actions by the operator.
Supervisory Control State Diagrams to Depict Autonomous Activity
2013
13 pages
Report
Keine Angabe
Englisch
Computers, Control & Information Theory , Graphics , Navigation Systems , Autonomous navigation , Diagrams , Cybernetics , Decision making , Vigilance , Autonomous systems , Lprism(Layered pattern recognizable interfaces for state machines) , State diagrams , Sustained attention , Uav(Unmanned aerial vehicle)
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