Mental Workload in the Explanation of Automation Effects on ATC Performance

Abstract

utomation has been introduced more and more into the role of air traffic control (ATC). As with many other areas of human activity, automation has the objective of reducing the complexity of the task so that performance is optimised and safer. However, automation can also have negative effects on cognitive processing and the performance of the controllers. In this paper, we present the progress made at AUTOPACE, a European project in which research is carried out to discover what these negative effects are and to propose measures to mitigate them. The fundamental proposal of the project is to analyse, predict, and mitigate these negative effects by assessing the complexity of ATC in relation to the mental workload experienced by the controller. Hence, a highly complex situation will be one with a high mental workload and a low complex situation will be one in which the mental workload is low.

Original document

The different versions of the original document can be found in:

• http://hdl.handle.net/11585/679608

• https://cris.unibo.it/bitstream/11585/679608/4/post-print%20679608.pdf

• http://link.springer.com/content/pdf/10.1007/978-3-030-14273-5_12,

http://dx.doi.org/10.1007/978-3-030-14273-5_12 under the license http://www.springer.com/tdm

• https://link.springer.com/chapter/10.1007/978-3-030-14273-5_12,

https://cris.unibo.it/handle/11585/679608,

https://www.scipedia.com/public/Ferreira_2019b,

https://dblp.uni-trier.de/db/conf/hworkload/hworkload2018.html#CanasFFPLGCLNM18,

https://academic.microsoft.com/#/detail/2917810539

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