Pilot Dependence on Imperfect Diagnostic Automation in Simulated UAV Flights: An Attentional Visual Scanning Analysis
ILLINOIS UNIV AT URBANA SAVOY
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An unmanned air vehicle UAV simulation was designed to reveal the effects of imperfectly reliable diagnostic automation a monitor of system health parameters on pilot attention, as the latter was assessed via visual scanning. Four groups of participants flew a series of legs under different automation conditions a baseline no automation control, and automation which was either 100 reliable, 60 reliable with a low-threshold bias to produce false alerts, and 60 reliable with a high threshold to produce misses. A high workload mission completion task and ground surveillance task were simultaneously imposed. Consistent with the reliance-compliance model of imperfect automation developed by Meyer 2001, miss-prone automation removed visual attention from the surveillance task, while FA-prone automation delayed the alert-driven attention shift to the system monitoring task.
- Pilotless Aircraft
- Anatomy and Physiology