Accession Number:

ADA631777

Title:

Aptitude and Trait Predictors of Manned and Unmanned Aircraft Pilot Job Performance

Descriptive Note:

Journal article

Corporate Author:

AIR FORCE RESEARCH LAB WRIGHT-PATTERSON AFB OH HUMAN PERFORMANCE WING (711TH) HUMAN EFFECTIVENESS DIRECTORATE/WARFIGHTER INTERFACE DIVISION

Report Date:

2016-04-22

Pagination or Media Count:

14.0

Abstract:

Previous research has shown that the same aptitude and trait measures that predict success in US Air Force USAF manned aircraft pilot training predict remotely-piloted aircraft RPA pilot training outcomes with generally similar levels of validity Carretta, 2013 Rose, Barron, Carretta, Arnold, Howse, 2014. However, because USAF RPA pilots initially train in manned aircraft, validation of aptitude and traits predicative of RPA pilot success has thus far been limited to RPA pilot training outcomes that actually require manned flight. Hence, thus far there has been no basis for determining the aptitudes and traits predictive of success in environments in which pilots actually fly RPAs. To address this gap, the present study evaluated pre-accession trait Big Five personality domains and aptitude spatial, quantitative, and aviation knowledge measures as predictors of manned and unmanned aircraft pilot performance on-the-job, as measured by supervisor and senior rater stratification on three years of Officer Performance Reports OPRs. Results were generally consistent in showing that the same aptitudes, knowledge, and personality traits that predict successful job performance for manned aircraft pilots also predict successful job performance for RPA pilots. However, results also showed pre-accession aviation knowledge to be a stronger predictor of job performance for RPA pilots than for manned aircraft pilots. These findings and their implications for attracting and selecting RPA pilots are discussed.

Subject Categories:

  • Psychology
  • Personnel Management and Labor Relations
  • Military Forces and Organizations

Distribution Statement:

APPROVED FOR PUBLIC RELEASE