Abstract
The present study investigates how human performance consequences of automated decision aids are moderated by the operator's performance state and the aid's level of automation. Participants performed a simulated supervisory control task with one of two decision aids which provided different degrees of support for fault identification and management. One session took place during the day, another one during the night, after a prolonged waking phase of more than 20 hours. Results show that both, primary and secondary task performance benefit from automated support compared to manual performance. During the night, participants supported by the higher automated aid were better able to maintain a high level of performance. Clear evidence for automation bias was found, but only during the day session. Automation verification was performed more carefully during the night, indicating a less complacent behavior when operators used the decision aids in a state of sleepiness and fatigue.
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