 This research examined the effects of varying levels of workload on air traffic controllers while they performed two different tasks. The researchers found that the level of workload had a significant effect on the controller's brain activity as well as their performance. This suggests that it may be possible to develop intelligent closed-loop mental workload adaptive systems that can detect when a controller is becoming overloaded and adjust accordingly. This article was authored by Alka Rachel John, Avinash K Singh, Tien Thong Gwendoog and others.