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Unmanned Aerial System (UAS) operations research by Williams (2004) found that platforms which employ winged aviators (e.g., Predator) have shown higher mishaps than those that select operators that are nonpilots (e.g., Shadow). One explanation may be negative training transfer from manned to unmanned platforms as operators are separated from the aircraft, thus depriving them of a range of sensory cues (McCarley & Wickens, 2007). Another explanation for higher Predator mishaps may be associated with poor Ground Control Station (GCS) design. These varying explanations for differences in mishap rates across platforms indicate the need to address a number of Human System Integration (HSI) issues including manpower/personnel, training, and design issues. Thus, this presentation discusses an effort investigating which UAS Knowledge, Skills, and Abilities, (KSAs) support the identification and training of candidates best suited to operate UASs. In addition, GCS design considerations directly linked to task workload and KSAs are discussed.