Abstract
This review examines evolving personnel selection practices for unmanned aircraft systems/remotely piloted aircraft (UAS/RPA) across the U.S. Air Force, U.S. Naval Services, and U.S. Army. Findings across services revealed several themes, including strengths (e.g., strong predictive validities, consistency in operator profiles), weaknesses (e.g., small number of predictive validation studies, small sample sizes), and gaps (e.g., need for further investigation of noncognitive predictors). Ongoing and proposed research, including development and implementation of new instruments and methodologies, are discussed, followed by suggestions to facilitate enhanced UAS/RPA selection practices across the services.