The thesis tackles the consideration of the human factor in the design of highly-automated aircraft cockpits. In the industrial system design the major effort for human factor analysis is still spent in late design phases. Experiments with test pilots are conducted at the flight simulator when a prototype of the system is available. The thesis presents an innovative methodology allowing early analysis of pilot-cockpit interaction on the basis of an empirically grounded cognitive pilot model. An evaluation of the methodology was performed by analyzing a formal autopilot design. The methodology focuses on the prediction of operator errors caused by learned simplifications in mental representation of operation procedures.
Print ISSN: 1611-2776
Volume: 48, 06/2006
Pages: 359 - 362