Abstract
This paper presents an approach describing how Air Traffic Controller (ATCO) fixations can be mapped to dynamic moving flight objects (track and label) on the radar screen in real-time, using a remote eye tracker. Real time simulations were conducted for 30 one-hour experimental sessions with participants from three expertise levels, using scenarios that mimic actual air traffic, consisting of both wide and medium angle crossing points. Monitoring performance metrics using fixation count and duration on an aircraft’s flight object on the radar screen were investigated in a macroscopic one-hour duration and four minutes before a crossing point for both wide and medium angle crossings. Distinct differences in the monitoring behavior of participants were found in the macroscopic one-hour duration and wide angle crossing. Four new parameters relating to the fixation counts and durations on dynamic flight objects, which could be used to distinguish the expertise level of ATCOs, were established.
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Acknowledgments
This research is funded by Thales Solutions Asia Pte Ltd, under the Economic Development Board, Industrial Postgraduate Programme, with Nanyang Technological University, Singapore. The authors would like to acknowledge and thank the staff at Thales LAS France SAS, Thales Solutions Singapore, Air Traffic Management Research Institute of Nanyang Technological University, Singapore and the participants in this study for their contributions and support towards this work.
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Wee, H.J., Lye, S.W., Pinheiro, JP. (2020). Monitoring Performance Measures for Radar Air Traffic Controllers Using Eye Tracking Techniques. In: Stanton, N. (eds) Advances in Human Factors of Transportation. AHFE 2019. Advances in Intelligent Systems and Computing, vol 964. Springer, Cham. https://doi.org/10.1007/978-3-030-20503-4_65
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DOI: https://doi.org/10.1007/978-3-030-20503-4_65
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