A Closed-Loop Model of Operator Visual Attention, Situation Awareness, and Performance Across Automation Mode Transitions

Objective: This article describes a closed-loop, integrated human–vehicle model designed to help understand the underlying cognitive processes that influenced changes in subject visual attention, mental workload, and situation awareness across control mode transitions in a simulated human-in-the-loo...

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Veröffentlicht in:	Human factors 2017-03, Vol.59 (2), p.229-241
Hauptverfasser:	Johnson, Aaron W., Duda, Kevin R., Sheridan, Thomas B., Oman, Charles M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Attention Attention - physiology Automation Awareness - physiology Cognitive ability Computer simulation Data processing Estimates Expectancy Experimental data Humans Landing behavior Lunar landing Man-Machine Systems Manual control Mathematical models Models, Theoretical Optimal control Simulation Situational awareness Space life sciences State estimation Task Performance and Analysis Uncertainty Visual perception Visual Perception - physiology Visual task performance Workload Workloads
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