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A Study on Real-Time Control Capability Assessment of Approach Controllers

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Engineering Psychology and Cognitive Ergonomics (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14017))

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Abstract

In order to evaluate the work capability of approach controllers in real time, further improve the safety of ATC operation and promote the high-quality development of civil aviation. This paper identifies three indicators to assess the real-time capability of approach controllers according to the work characteristics and job requirements: reaction capability, decision-making capability and radar continuous monitoring capability. According to the different traffic volumes of small, medium and large, a controller’s real-time capability assessment model was established, and the three indicators were quantified and studied by experimentally using Tobii eye movement instrument to collect controllers’ eye movement data, and the weights of the three indicators were determined by using the entropy-CRITIC combination method. The position of approach controller requires the highest reaction capability, followed by radar surveillance capability and decision-making capability. Finally, k-means cluster analysis is used to classify and evaluate the real-time capability of controllers, and the approach controller capability is classified into four levels, with the best capability for Level 1 controllers and the worst capability for Level 4 controllers, and suggestions are given for the capability training of different levels of controllers.

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Acknowledgements

The cooperation of air traffic controllers in the study is greatly appreciated, and it is their support that enabled the authors to successfully complete the experimental content and conduct the controller competency assessment study.

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Correspondence to Qiu-Li Gu .

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Wang, L., Gu, QL., Wang, K.R. (2023). A Study on Real-Time Control Capability Assessment of Approach Controllers. 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_23

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  • DOI: https://doi.org/10.1007/978-3-031-35392-5_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35391-8

  • Online ISBN: 978-3-031-35392-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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