Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/147799
Title: A fixation-click count signature as a visual monitoring enhancement feature for air traffic controllers
Authors: Wee, Hong Jie
Lye, Sun Woh
Pinheiro, Jean-Philippe
Keywords: Engineering::Aeronautical engineering
Issue Date: 2020
Source: Wee, H. J., Lye, S. W. & Pinheiro, J. (2020). A fixation-click count signature as a visual monitoring enhancement feature for air traffic controllers. 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020). https://dx.doi.org/10.1007/978-3-030-39512-4_35
Conference: 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020)
Abstract: This paper presents an approach to capture the deliberate perception and compre-hension behavior of Air Traffic Controllers (ATCOs) by utilizing their eyeball and hand movement. Hence, a new fixation-click count signature, involving ATCOs fixating on aircraft’s track or label, before performing respective commands within a specified operational duration, is derived. 88 one-hour real time simulations involving a remote eye tracker and scenarios mimicking actual air traffic were conducted for participants from three expertise levels. Results show that this signature is common amongst all participants for both incoming and outbound aircraft. Furthermore, addition visual attention span is required with increasing commands issued, as a higher fixation count is exhibited with more clicks performed for the one-hour duration. This signature could also be used to differentiate the expertise levels of ATCOs, as experts were found to exhibit the most fixation count across all click counts, followed by intermediates and novices.
URI: https://hdl.handle.net/10356/147799
DOI: 10.1007/978-3-030-39512-4_35
DOI (Related Dataset): https://link.springer.com/chapter/10.1007/978-3-030-39512-4_35
Schools: School of Mechanical and Aerospace Engineering 
Organisations: Thales Solutions Asia Pte Ltd
Thales LAS France SAS
Research Centres: Air Traffic Management Research Institute 
Rights: © 2020 Springer-Verlag GmbH Germany, part of Springer Nature. All rights reserved. This paper was published in 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020) and is made available with permission of Springer-Verlag GmbH Germany, part of Springer Nature.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Conference Papers

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