Identification and correlation analysis for performance shaping factors in flight crew operation

Abstract

Abstract The dependency between PSFs (performance shaping factors) is gaining increasing attention in HRA (human reliability analysis). In this paper, 79 PSFs were identified through literature review and discussion of focus group, which is composed of human factors/HRA specialists and civil pilots. These PSFs were classified into 10 categories as cognitive characteristics, physiological and psychological characteristics, personal and social characteristics, procedures, task characteristics, human-machine interface, system state, phenomenology characteristics, physical working conditions team and organizational factors. Then a survey of 299 pilots was conducted. A self-rate scale was used to investigate how the pilots were influenced by these PSFs. Correlation analysis shows that the correlations between PSF subsets are moderate to strong. The result suggests further research on the dependency between PSFs and PSF interactions need to be included in future HRA efforts.