A new approach to air traffic controller workload measurement and modelling

2011 ◽  
Vol 83 (1) ◽  
pp. 35-42 ◽  
Author(s):  
Hakan Oktal ◽  
Kadriye Yaman
Author(s):  
Ebru Yazgan ◽  
Erdi Sert ◽  
Deniz Şimşek

Air Traffic Control Officer (ATCO) will be the branch that will have the most impact in the air transport system. The duty of ATCOs is to prevent the collision of airplanes in the air provided by the controllers on the ground and to overcome the possible confusion. Being exposed to a very high cognitive workload of ATCOs, which is one of the high-risk occupational groups, is important in terms of flight safety. However, it has been observed that studies on the differences in cognitive workload that may occur between experienced and inexperienced ATCO under different task difficulties are quite insufficient in literature. This study presents research studies on cognitive workload measurement methods and ATCO's cognitive workload. In this study, first of all, the importance of determining the cognitive workload and its measurement methods are explained. In addition, literature studies related to cognitive workload of ATCOs, particularly by using eye tracker are presented.


2013 ◽  
Vol 3 (1) ◽  
pp. 19-27 ◽  
Author(s):  
Yvonne Pecena ◽  
Doris Keye ◽  
Kristin Conzelmann ◽  
Dietrich Grasshoff ◽  
Peter Maschke ◽  
...  

The job of an air traffic controller (ATCO) is very specific and demanding. The assessment of potential suitable candidates requires a customized and efficient selection procedure. The German Aerospace Center DLR conducts a highly selective, multiple-stage selection procedure for ab initio ATCO applicants for the German Air Navigation Service Provider DFS. Successful applicants start their training with a training phase at the DFS Academy and then continue with a unit training phase in live traffic. ATCO validity studies are scarcely reported in the international scientific literature and have mainly been conducted in a military context with only small and male samples. This validation study encompasses the data from 430 DFS ATCO trainees, starting with candidate selection and extending to the completion of their training. Validity analyses involved the prediction of training success and several training performance criteria derived from initial training. The final training success rate of about 79% was highly satisfactory and higher than that of other countries. The findings demonstrated that all stages of the selection procedure showed predictive validity toward training performance. Among the best predictors were scores measuring attention and multitasking ability, and ratings on general motivation from the interview.


2014 ◽  
Author(s):  
Dan Chiappe ◽  
Thomas Strybel ◽  
Kim-Phuong Vu ◽  
Lindsay Sturre

2011 ◽  
Author(s):  
Jarek Krajewski ◽  
David Sommer ◽  
Sebastian Schnieder ◽  
Martin Golz

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