Abstract
The effectiveness of automated decision aids used by human operators in command and control systems may depend not only on automation reliability, but also on the type (stage) and level the automated support provides. Automation can be applied to information acquisition, information integration and analysis, decision choice selection, or action implementation (Parasuraman, Sheridan, & Wickens, 2000). The present study examined the effects of variations in the stage of automation support on performance in a “Sensor to Shooter” targeting simulation of command and control. Independent variables included the type and level of automation support (complete listing, priority listing, top choices, and recommendation of decision choice) and the reliability of the automation (60% and 80%). Dependent variables included accuracy and reaction time of target engagement decisions. Compared to manual performance, reliable automation did not affect the accuracy of target engagement decisions but did significantly reduce decision times. When the automation was unreliable, under the higher reliability condition (80%) there was a greater cost in accuracy performance for higher levels of automation aiding (priority listing, top choice, and recommendation) than at a lower level (complete listing). The results support the view that automation unreliability has a greater performance cost for decision automation than for information automation. This performance cost generalizes across a number of different forms of decision-aiding.
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