Task difficulty and physiological measures of mental workload in air traffic control: a scoping review
Author:
Affiliation:
1. Facultad de Psicología, Universidad Autónoma de Madrid, Madrid, Spain
2. CRIDA A.I.E, ATM R&D + Innovation Reference Centre, Madrid, Spain
Funder
UAM, ENAIRE, and CRIDA
Publisher
Informa UK Limited
Subject
Physical Therapy, Sports Therapy and Rehabilitation,Human Factors and Ergonomics
Link
https://www.tandfonline.com/doi/pdf/10.1080/00140139.2021.2016998
Reference92 articles.
1. Adaptive Automation Triggered by EEG-Based Mental Workload Index: A Passive Brain-Computer Interface Application in Realistic Air Traffic Control Environment
2. *Aricò, P., G. Borghini, G. Di Flumeri, A. Colosimo, I. Graziani, J. Imbert, and F. Babiloni. 2015. “Reliability Over Time of EEG-Based Mental Workload Evaluation During Air Traffic Management (ATM) Tasks.” Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2015, 7242–7245. doi:10.1109/EMBC.2015.7320063.
3. A passive brain–computer interface application for the mental workload assessment on professional air traffic controllers during realistic air traffic control tasks
4. Human Factors and Neurophysiological Metrics in Air Traffic Control: A Critical Review
5. How Neurophysiological Measures Can be Used to Enhance the Evaluation of Remote Tower Solutions
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