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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    Titel :

    Monitoring Performance Measures for Radar Air Traffic Controllers Using Eye Tracking Techniques


    Weitere Titelangaben:

    Advs in Intelligent Syst., Computing


    Beteiligte:
    Stanton, Neville (Herausgeber:in) / Wee, Hong Jie (Autor:in) / Lye, Sun Woh (Autor:in) / Pinheiro, Jean-Philippe (Autor:in)

    Kongress:

    International Conference on Applied Human Factors and Ergonomics ; 2019 ; Washington D.C, DC, USA July 24, 2019 - July 28, 2019



    Erscheinungsdatum :

    06.06.2019


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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