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Cardiovascular parameters for mental workload detection of air traffic controllers

Radüntz, Thea and Mühlhausen, Thorsten and Fürstenau, Norbert and Cheladze, Emilia and Meffert, B. (2019) Cardiovascular parameters for mental workload detection of air traffic controllers. In: Advances in Intelligent Systems, 903, pp. 789-794. Springer Verlag. 2nd International Conference on Intelligent Human Systems Integration (IHSI 2019), 07.-10. Feb. 2019, San Diego, California, USA. doi: 10.1007/978-3-030-11051-2. ISBN 978-3-030-11050-5. ISSN 2194-5357.

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Official URL: https://doi.org/10.1007/978-3-030-11051-2

Abstract

In our study, we focused on air traffic controller’s working position for arrival management. Our aim was to evaluate cardiovascular parameters regarding their ability to distinguish between conditions with different traffic volumes and between conditions with and without the occurrence of an extraordinary event. Our sample consisted of 21 subjects. During an interactive simulation, we varied the load situations with two independent variables: the traffic volume and the occurrence of a priority-flight request. Dependent variables for registering mental workload were cardiovascular parameters, i.e., the heart rate, relative low-frequency and high-frequency band powers, and bandpower ratio of the low- and high-frequency bands. Heart rate was the only parameter able to differentiate significantly between simulations with minimal and high air-traffic volume, while the effect of the priority-flight request remained doubtful. No significant interaction between traffic volume and priority request could be identified for any of the cardiovascular parameters

Item URL in elib:https://elib.dlr.de/130443/
Document Type:Conference or Workshop Item (Speech)
Title:Cardiovascular parameters for mental workload detection of air traffic controllers
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Radüntz, Thearaduentz.thea (at) baua.bund.deUNSPECIFIED
Mühlhausen, ThorstenThorsten.Muehlhausen (at) dlr.deUNSPECIFIED
Fürstenau, NorbertNorbert.Fuerstenau (at) dlr.deUNSPECIFIED
Cheladze, Emiliacheladze.emilia (at) baua.bund.deUNSPECIFIED
Meffert, B.Humboldt Universität, BerlinUNSPECIFIED
Date:January 2019
Journal or Publication Title:Advances in Intelligent Systems
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:Yes
Volume:903
DOI :10.1007/978-3-030-11051-2
Page Range:pp. 789-794
Publisher:Springer Verlag
Series Name:Advances in Intelligent Systems (ISI)
ISSN:2194-5357
ISBN:978-3-030-11050-5
Status:Published
Keywords:Mental workload � Heart rate � Heart rate variability Signal processing � Air traffic controllers
Event Title:2nd International Conference on Intelligent Human Systems Integration (IHSI 2019)
Event Location:San Diego, California, USA
Event Type:international Conference
Event Dates:07.-10. Feb. 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:air traffic management and operations
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Efficient Flight Guidance (old)
Location: Braunschweig
Institutes and Institutions:Institute of Flight Guidance > ATM-Simulation
Deposited By: Mühlhausen, Dr.-Ing. Thorsten
Deposited On:15 Nov 2019 09:40
Last Modified:15 Nov 2019 09:40

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