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The Impact of Automation on Air Traffic Controller’s Behaviors

Authors :
Yanjun Wang
Rongjin Hu
Siyuan Lin
Michael Schultz
Daniel Delahaye
Source :
Aerospace, Vol 8, Iss 9, p 260 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Air traffic controllers have to make quick decisions to keep air traffic safe. Their behaviors have a significant impact on the operation of the air traffic management (ATM) system. Automation tools have enhanced the ATM system’s capability by reducing the controller’s task-load. Much attention has been devoted to developing advanced automation in the last decade. However, less is known about the impact of automation on the behaviors of air traffic controllers. Here, we empirically tested the effects of three levels of automation—including manual, attention-guided, and automated—as well as varying traffic levels on eye movements, situation awareness and mental workload. The results showed that there are significant differences in the gaze and saccade behaviors between the attention-guided group and automated group. Traffic affected eye movements under the manual mode or under the attention-guided mode, but had no effect on eye movements under the automated mode. The results also supported the use of automation for enhancing situation awareness while reducing mental workload. Our work has potential implications for the design of automation and operation procedures.

Details

Language :
English
ISSN :
22264310
Volume :
8
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Aerospace
Publication Type :
Academic Journal
Accession number :
edsdoj.f1293f86f90b48af8aa7f13838758f88
Document Type :
article
Full Text :
https://doi.org/10.3390/aerospace8090260