Abstract
Air traffic controllers’ fatigue on duty affect their performance and even threaten aviation safety. But the design and promotion of air traffic management systems seldom consider dynamic changes of fatigue for controllers on duty. The aim of this study was to detect changes of fatigue for controllers on duty along with different task loads and working schedules. Fatigue influence sleep, mood and perception of controllers, and the three kinds of index employed to characterize their fatigue. A field investigation with 3 × 4 levels of two factors including task load and working schedule was carried out at one busy area control unit in China. 156 effective questionnaires (52 person times) were collected and analyzed with statistical methods. Primary results of repeated measure variance analysis showed that the accumulation of task load resulted in their sleep subscale scores increased very significantly, mood subscale scores and perception subscale scores decreased very significantly. Results of independent measure variance analysis showed that the influence of working schedule was also very significant to their sleep subscale, mood subscale and perception subscale scores. And the results of multiple factors covariance analysis showed that the interaction of task load and working schedule was significant. These primary results need to verify with large number of samples. These results clearly indicated that air traffic controllers’ fatigue dynamically changed on duty. And the results will promote the design of new smart and adaptive air traffic management system which should take the dynamical change of controllers' fatigue and even capacity in to account.
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References
EUROCONTROL. Five major challenges of long-term air traffic growth. https://www.eurocontrol.int/eec/public/standard_page/ETN_2009_1_Growth.html. Accessed 29 Dec 2020
Airbus. Global market forecast: Mapping demand 2016–2035. Airbus, Technical report. D14029463, August 2016. http://www.team.aero/files/airbusforecast/Global_Market_Forecast_2016-2035.pdf
Arico, P., Borghini, G., Flumeri, G., et al.: Human factors and neurophysiological metrics in air traffic control: a critical review. In: IEEE Reviews in Biomedical Engineering. hal-01511343 (2017). https://doi.org/10.1109/RBME.2017.2694142, https://hal-enac.archives-ouvertes.fr/hal-01511343
Brink, D., Klomp, R., Borst, C., et al.: Flow- based air traffic control: human-machine interface for steering a path-planning algorithm. In: 2019 IEEE International Conference on Systems, Man and Cybernetics, pp. 3186–3191. Bari, Italy (2019)
IJtsma, M., Borst, C., Mercado-Velasco, G., et al.: Adaptive automation based on air traffic controller decision-making. In: 19th International Symposium on Aviation Psychology, pp. 461–466. Dayton, Ohio, USA (2017)
Borst, C., Bijsterbosch, V.A., van Paassen, M.M., Mulder, M.: Ecological interface design: supporting fault diagnosis of automated advice in a supervisory air traffic control task. Cogn. Technol. Work 19(4), 545–560 (2017). https://doi.org/10.1007/s10111-017-0438-y
International Civil Aviation Organization: Procedures for air navigation services air traffic management. 16th Edition (2016)
International Civil Aviation Organization: Manual for the oversight of fatigue management approaches. Doc 9966, 2nd Edition (2016)
Nealley, M.A., Gawron, V.J.: The effect of fatigue on air traffic controllers. Inter. J. Aviat. Psychol. 25(1), 14–47 (2105)
Southcentral Regional Administration of Civil Aviation Administration of China: Report the investigation report on the air traffic controller sleeping on duty causing CEA MU2528 go around, Plain code telegram form the Southcentral Regional Administration [2014]1289 (2014)
Chen, Z., Xu, X., Zhang, J., et al.: Application of LC-MS-based global metabolomic profiling methods to human mental fatigue. Anal. Chem. 88(23), 11293–11296 (2016)
Chen, Z., Zhang, J., Ding, P.: Fatigue detection of air traffic controllers using metabolomic methods. In: 2019 IEEE 1st International Conference on Civil Aviation Safety and Information Technology, pp. 471–474. IEEE Press, Kunming (2019)
Lajunen, T., Parker, D.: Are aggressive people aggressive drivers? A study of the relationship between self-reported general aggressiveness, driver anger and aggressive driving. Accid. Anal. Prev. 33(2), 243–255 (2001)
Yu, J., Yang, J., Zhang, S.: Research on state of fatigue and emotion changes in military drivers before and after driving. J. Occup. Health Damage. 30(1), 48–51 (2015)
Chen, Z., Zhang, J., Ding, P., et al.: A scale to assess fatigue, concomitant mood and perception of air traffic controllers: a field study. In: 2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology, pp. 874–877. IEEE Press, Weihai (2020)
Chen, Z., Zhang, J., Zou, G., et al.: Interaction effect of workload and circadian rhythm in air traffic controllers’ fatigue. In: Proceedings of the 20th International Conference on Man-Machine-Environment System Engineering, pp. 235–241. Springer, Zhengzhou (2020)
Den, R., Toda, M., Nagasawa, S., et al.: Circadian rhythm of human salivary chromogranin A. Biomed. Res. 28(1), 57–60 (2007)
Gu, Y., Chen, Z., Zhang, J., Zou, G., Ding, P., Deng, W.: A PERCLOS method for fine characterization of behaviour circadian rhythm. In: Long, S., Dhillon, B.S. (eds.) MMESE 2020. LNEE, vol. 645, pp. 243–249. Springer, Singapore (2020). https://doi.org/10.1007/978-981-15-6978-4_30
Acknowledgement
We would like to thank all air traffic controllers who participated in this study. This study was supported by the National Natural Science Foundation of China (No. 52072406 and No. 22074157), Safety Foundation of Civil Aviation Administration of China (No. [2020]116), and Chengdu Science and Technology Project (2020-XT00–00001-GX).
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Chen, Z. et al. (2021). A Preliminary Field Study of Air Traffic Controllers’ Fatigue for Interface Design. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. HCII 2021. Lecture Notes in Computer Science(), vol 12767. Springer, Cham. https://doi.org/10.1007/978-3-030-77932-0_10
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