Transactions of Nanjing University of Aeronautics & Astronautics
Identification of InformationSeeking Behaviors from Air TrafficControllers′ Eye Movements
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Abstract:
Air traffic controllers are the important parts of air traffic management system who are res ponsible for the safety and efficiency of the system. They make traffic management decisions based on information acquired from various sources. The understanding of their information seeking behaviors is still limited. We aim to identify controllers′ behavior through the examination of the correlations betwe en controllers′ eye movements and air traffic. Sixteen air traffic controllers were invited to participate realtime simulation experiments, during which the data of their eyeball movements and air traffic were recorded. Twenythree air traffic complexity metrics and six eye movements metrics were calculated to examine their relationships. Two correlational methods, Pearson′s correlation and Spearman′s correlation, were tested between every eyetraffic pair of metrics. The results indicate that controllers′ two kinds of informationseeking behaviors can be identified from their eye movements: Targets tracking, and confliction recognition. The study on controllers′ eye movements may contribute to the understanding of informationseeking mechanisms leading to the development of more intelligent automations in the future.
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