Adaptive Automation Based on Air Traffic Controller Decision-Making

Adaptive Automation Based on Air Traffic Controller Decision-Making

IJtsma, Martijn (Student TU Delft)
Borst, C. (TU Delft Control & Simulation)
Mercado Velasco, G.A. (TU Delft Control & Simulation)
Mulder, Max (TU Delft Control & Operations)
van Paassen, M.M. (TU Delft Control & Simulation)

Tsang, P.S. (editor)
Vidulich, M.A. (editor)

Control & Operations

2017

Through smart scheduling and triggering of automation support, adaptive automation has the potential to balance air traffic controller workload. The challenge in the design of adaptive automation systems is to decide how and when the automation should provide support. This paper describes the design of a novel mechanism for adaptively invoking automation support. Whereas most adaptive automation support systems are reactive in that they invoke automation support after controller workload has increased, the aim of the designed mechanism is to proactively trigger automation support prior to workload increases. To do this, the mechanism assesses the quality of air traffic controller's decisions. The designed adaptive automation system has been tested in a human-in-the-loop experiment. Results indicate that the adaptive support helps to increase efficiency and safety as compared to manual control. However, lower triggering thresholds (resulting in more frequent automation intervention) increased the frustration level of participants (as measured with NASA TLX) and decreased acceptance of the support.

http://resolver.tudelft.nl/uuid:89439c34-39f1-4a18-bc42-07ca1b63d99b

978-1-5108-4214-4

19th International Symposium on Aviation Psychology (ISAP 2017): Dayton, Ohio, USA, 8-11 May 2017

19th International Symposium on Aviation Psychology, 2017-05-08 → 2017-05-11, Dayton, United States

Institutional Repository

conference paper

© 2017 Martijn IJtsma, C. Borst, G.A. Mercado Velasco, Max Mulder, M.M. van Paassen