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A Measurement Framework and Method on Airline Transport Pilot’s Psychological Competency

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Engineering Psychology and Cognitive Ergonomics (HCII 2023)

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Abstract

Based on the professional characteristics of airline transport pilots and requirements of implementing pilots’ Professionalism Lifecycle Management (PLM) system put forward by Civil Aviation Administration of China (CAAC), this study proposes the measurement framework and method on airline transport pilot’s psychological competency by consulting the relevant results of psychological competency and psychological assessment of pilots. Firstly, this study points out that the psychological competency of airline transport pilots mainly includes two measurement dimensions: professional adaptability and mental health, covering five measurement modules: general cognitive ability, operational and professional ability, social-interpersonal ability, personality traits and attitude, and mental health. Secondly, this study provides the complete process of psychological competency evaluation for pilots, and the measurement data of the pilot can be obtained through supporting hardware and software devices for evaluation and analysis. Finally, this study designs an index fusion algorithm of pilot’s psychological competency, integrates the data obtained by the objective measurement algorithm and the subjective measurement algorithm, and calculates the score value of the pilot's psychological competency after standardized calculation, combined with the psychological competency measurement framework. The research conclusion shows that the measurement framework and method on airline transport pilot’s psychological competency proposed in this study have certain applicability, and can be widely applied in the next step, providing direct technical support and input for the development of reliable civil aviation pilot selection, evaluation and training tools.

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References

  1. Maurino, D.E., Reason, J., Johnston, N., et al.: Beyond aviation human factors: safety in high technology systems. Hum. Fact. Eng. 3, 55–57 (1998)

    Google Scholar 

  2. Bor, R., Eriksen, C., Hubbard, T., King, R.E. (eds.): Pilot Selection Psychological Principles and Practice. CRC Press, London (2019)

    Google Scholar 

  3. Civil Aviation Administration of China (CAAC): Roadmap for the Construction and Implementation of the Airline Transport Pilots Professionalism Lifecycle Management System in China (2020). (in Chinese)

    Google Scholar 

  4. Zhang, M., Wang, L., Zou, Y., Peng, J., et al.: Preliminary research on evaluation index of professional adaptability for airline transport pilot. In: International Conference on Human-Computer Interaction, pp. 473–487. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-06086-1_37

  5. Anastasi, A.: Psychological Testing, 5th edn., pp. 22–44,103–183,552–555. Macmillan, New York (1982)

    Google Scholar 

  6. Qu, C.: The compilation and psychometric analysis of psychological test (in Chinese). Chin. J. Epidemiol. 05, 451–455 (2006)

    Google Scholar 

  7. McCrae, R.R., Costa, P.: Personality in Adulthood. Guilford, New York (1990)

    Google Scholar 

  8. Goldberg, L.R.: The structure of phenotypic personality traits. Am. Psychol. 48, 26–34 (1993)

    Article  Google Scholar 

  9. Mosley, E., Laborde, S.: Performing under Pressure. Performance Psychology, pp. 291–314 (2016). https://doi.org/10.1016/b978-0-12-803377-7.00018-1

  10. Barrick, M.R., Mount, M.K.: The big five personality dimensions and job performance: a meta-analysis. Pers. Psychol. 44(1), 1–26 (1991). https://doi.org/10.1111/j.1744-6570.1991.tb00688.x

    Article  Google Scholar 

  11. Schmidt, F.L., Hunter, J.E.: The validity and utility of selection methods in personnel psychology: practical and theoretical implications of 85 years of research findings. Psychol. Bull. 124(2), 262–274 (1998). https://doi.org/10.1037/0033-2909.124.2.262

    Article  Google Scholar 

  12. Arthur, W., Graziano, W.G.: The five-factor model, conscientiousness, and driving accident involvement. J. Pers. 63, 593–618 (1996)

    Article  Google Scholar 

  13. Lubner, M.E.: Aviation accidents, incidents, and violations: psychological predictors among United States pilots. Diss. Abstr. Int. 53, 3003–3004 (1992)

    Google Scholar 

  14. Clarke, S., Robertson, I.: A meta-analytic review of the Big Five personality factors and accident involvement in occupational and non-occupational settings. J. Occup. Organ. Psychol. 78(3), 355–376 (2005). https://doi.org/10.1348/096317905x26183

    Article  Google Scholar 

  15. Matthews, G., Dorn, L., Glendon, A.I.: Personality correlates of driver stress. Pers. Individ. Differ. 12, 535–549 (1991)

    Article  Google Scholar 

  16. Kendler, K.S., Gatz, M., Gardner, C.O., Pedersen, N.L.: Personality and major depression: a Swedish longitudinal, population-based twin study. Arch. Gen. Psychiatry 63(10), 1113–1120 (2006)

    Article  Google Scholar 

  17. Hunter, J.E., Schmidt, F.L.: Methods of Meta-Analysis: Correcting Error and Bias in Research Findings. Sage, Newbury Park (1990)

    Google Scholar 

  18. Alvarez-Segura, M., Echavarria, M.F., Vitz, P.C.: A psycho-ethical approach to personality disorders: the role of volitionality. New Ideas Psychol. 47, 49–56 (2017). https://doi.org/10.1016/j.newideapsych.2017.05.003

    Article  Google Scholar 

  19. Mosich, Michelle, K.: Reference Module in Neuroscience and Biobehavioral Psychology, Personality Disorders (2018). https://doi.org/10.1016/B978-0-12-809324-5.21226-1

  20. Fawcett, T.: An introduction to ROC analysis. 27(8), 861–874 (2006). https://doi.org/10.1016/j.patrec.2005.10.010

    Article  MathSciNet  Google Scholar 

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Acknowledgments

The authors would like to appreciate the support of the National Natural Science Foundation of China (grant no. 32071063).

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Correspondence to Lei Wang .

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Wang, L., Peng, J., Zou, Y., Zhang, M., Li, D. (2023). A Measurement Framework and Method on Airline Transport Pilot’s Psychological Competency. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. HCII 2023. Lecture Notes in Computer Science(), vol 14017. Springer, Cham. https://doi.org/10.1007/978-3-031-35392-5_22

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  • DOI: https://doi.org/10.1007/978-3-031-35392-5_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35391-8

  • Online ISBN: 978-3-031-35392-5

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