Erratum to “The neuroergonomic evaluation of human machine interface design in air traffic control using behavioral and EEG/ERP measures” [Behav. Brain Res. 294 (2015) 246–253]

2016 ◽  
Vol 300 ◽  
pp. 186 ◽  
Author(s):  
L. Giraudet ◽  
J.-P. Imbert ◽  
M. Bérenger ◽  
S. Tremblay ◽  
M. Causse
Keyword(s):  
Traffic Control ◽  
Interface Design ◽  
Air Traffic Control ◽  
Human Machine Interface ◽  
Air Traffic ◽  
Machine Interface

Human Factors interface design for advanced Air Traffic Control Centres

2020 ◽  
pp. 151-168
Author(s):  
Adrian Gorst ◽  
Heather Mackendrick ◽  
Nic Turley
Keyword(s):  
Human Factors ◽  
Traffic Control ◽  
Interface Design ◽  
Air Traffic Control ◽  
Air Traffic

A Predictor-Compensator Design to Assist Human Decision-Making Process in an Air-Traffic-Control Simulator

2013 ◽  
Author(s):  
Keivan Sadeghzadeh ◽  
Rifat Sipahi
Keyword(s):  
Traffic Control ◽  
Air Traffic Control ◽  
Human Subjects ◽  
Air Traffic ◽  
Human Errors ◽  
Compensator Design ◽  
Human Decision ◽  
Machine Interface ◽  
Smart Machines ◽  
Human Operators

Air traffic control is a demanding task for human operators, as this task requires tracking multiple events, managing the events, and taking actions in the presence of multiple and possibly competing objectives. In such critical tasks, human intelligence is extremely crucial however human decisions also become more prone to errors, which could cause tragic events. One idea to prevent such errors is to design smart machines that can assist human subjects in making decisions whenever human errors become more likely. In this article, we present a simulation model that captures the essence of how a human subject model would interact with a simplified version of an air traffic control simulator, and show how we design a predictor-compensator in order to regulate and possibly improve this interaction, such that overall human-machine interface can be optimized, and human workload is reduced on average.

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