The Prediction of Pilot Subjective Workload Ratings

Abstract

This paper investigated potential variables that predict pilot subjective workload ratings. A correlational design was used to regress NASA TLX subjective workload ratings onto four independent variables (the number of concurrent tasks, task type, task combination, and flight experience). A pilot selection simulator was used to present five different flight tasks, in different combinations, to 15 cadets at the USAF Academy. The results indicated the number of concurrent tasks had the largest impact on subjective workload ratings, followed by subjects' flight experience. The data also showed that the effort dimension of the NASA TLX contributed the most variance to the overall weighted workload ratings. The implication for theoreticians and designers is that the number of concurrent tasks, experience, and perceived effort seem to be key contributor to subjective workload ratings.