Unmanned Aviation System (UAS) have leveraged considerably from the manned aviation approach. This approach was useful to jumpstart this technology but it is now time to find a more efficient and up-to-date approach, keeping with the capabilities and limitation of the concurrent technology. Three technical areas to mature and address the current limitations are recommended: 1) Selection for UAS Personnel (SUPer), to accurately forecast candidate UAS operator performance across UAS platforms and missions; 2) Distributed, Adaptive & Modular entities for UAS (DyAdeM), to automatically generate realistic & adaptive synthetic environments for simulated UAS training; and, 3) UAS Control Station Human Machine Interface (CaSHMI), to provide validated information display concepts.
Cohn, J. V.,
Older, B. A.,
Arnold, D. D.,
& O'Neill, E. B.
(2013). Military Unmanned Aircraft System Operators: Training and Human Performance Issues. 17th International Symposium on Aviation Psychology, 341-346.