Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/147628
Title: A quantum-inspired model for human-automation trust in air traffic control derived from functional magnetic resonance imaging
Authors: Pushparaj, Kiranraj
Ayeni, Alvin John
Ky, Gregoire
Alam, Sameer 
Vijayaragavan, Vimalan
Gulyás, Balázs 
Duong, Vu N. 
Keywords: Engineering::Aeronautical engineering::Aviation
Issue Date: 2019
Source: Pushparaj, K., Ayeni, A. J., Ky, G., Alam, S., Vijayaragavan, V., Gulyás, B. & Duong, V. N. (2019). A quantum-inspired model for human-automation trust in air traffic control derived from functional magnetic resonance imaging. SESAR Innovation Days 2019.
Project: M4062429.052 
Abstract: With a greater proliferation of automation tools in the domain of Air Traffic Management due to exponential growth in air traffic, human factors, and more specifically, trust, becomes a crucial component of Air Traffic Controller (ATCO)-automation teams. An attempt to better represent trust behaviours in ATCOs was made by juxtaposing two philosophies of trust using the principles of superposition and complementarity from quantum mechanics. Neuroimaging evidence of this simultaneous concurrence was demonstrated with use of functional Magnetic Resonance Imaging (fMRI) data. The robustness in this proposed model is higher due to the use of objective data to explain ATCO trusting behaviour under uncertainty. This is an improvement on current models that are context-dependent and based on subjective data.
URI: https://hdl.handle.net/10356/147628
Rights: © 2019 Air Traffic Management Research Institute. All rights reserved. This paper was published in SESAR Innovation Days 2019 and is made available with permission of Air Traffic Management Research Institute.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Conference Papers

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