ABSTRACT
NASA and the FAA have initiated programs of research and development to provide automation aids to increase capacity in en route and terminal area and to support the goals of safe, flexible, predictable and efficient operations. NASA has been engaged in the development of advanced technologies whose basic form is cognitive aiding systems for air traffic controller and flight deck operations. The human operator is an integral control element in the system. Specifying human decision and performance parameters with those of the automation aiding systems offers a significant challenge to cognitive engineering. This paper presents results from full mission simulations and the development of a predictive computational model of human performance. We have structured this model to explore the interaction of human operators and ground-based and airborne alerting systems.
