Abstract
One way in which non-human agents manifest in complex systems is through the use of adaptive automation. In this case, the degree of involvement of a computer-based agent can be controlled dynamically as a function of environmental conditions and operator state. The current study examined the effects of specific aspects of adaptive automation, reliability and adaptability (the ability of the system to adapt appropriately to changes in task demand), on human performance, stress, and workload.
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