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

2018 3rd International Conference on Reliability Engineering

工业技术（总论）

Wang, Lijing^1 ; Wang, Yanlong^1 ; Chen, Yingchun^2 ; Dong, Dayong^2

School of Aeronautic Science and Engineering, Beihang University, 37 Xueyuan Road, Beijing, China^1

Shanghai Aircraft Design and Research Institute, Commercial Aircraft Corporation of China Ltd, 5188 Jinke Road, Shanghai, China^2

关键词: Cognitive characteristics;    Correlation analysis;    Human Machine Interface;    Human reliability analysis;    Organizational factors;    Performance shaping factors;    Psychological characteristics;    Task characteristics;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/575/1/012004/pdf
DOI  :  10.1088/1757-899X/575/1/012004

学科分类：工业工程学

来源: IOP

【 摘 要 】

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.