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Indexing Mental Workload During Simulated Air Traffic Control Tasks by Means of Dual Frequency Head Maps

Radüntz, Thea and Fürstenau, Norbert and Mühlhausen, Thorsten and Meffert, Beate (2020) Indexing Mental Workload During Simulated Air Traffic Control Tasks by Means of Dual Frequency Head Maps. Frontiers in Physiology, 11, pp. 1-13. Frontiers Media S.A. DOI: 10.3389/fphys.2020.00300 ISSN 1664-042X

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Official URL: http://www.frontiersin.org

Abstract

In our digitized society, advanced information and communication technology and highly interactive work environments impose high demands on cognitive capacity. Optimal workload conditions are important for assuring employee's health and safety of other persons. This is particularly relevant in safety-critical occupations, such as air traffic control. For measuring mental workload using the EEG, we have developed the method of Dual Frequency Head Maps (DFHM). The method was tested and validated already under laboratory conditions. However, validation of the method regarding reliability and reproducibility of results under realistic settings and real world scenarios was still required. In our study, we examined 21 air traffic controllers during arrival management tasks. Mental workload variations were achieved by simulation scenarios with different number of aircraft and the occurrence of a priority-flight request as an exceptional event. The workload was assessed using the EEG-based DFHM-workload index and instantaneous self-assessment questionnaire. The DFHM-workload index gave stable results with highly significant correlations between scenarios with similar traffic-load conditions (r between 0.671 and 0.809, p ≤ 0.001). For subjects reporting that they experienced workload variation between the different scenarios, the DFHM-workload index yielded significant differences between traffic-load levels and priority-flight request conditions.For subjects who did not report to experience workload variations between the scenarios, the DFHM-workload index did not yield any significant differences for any of the factors. We currently conclude that the DFHM-workload index reveals potential for applications outside the laboratory and yields stable results without retraining of the classifiers neither regarding new subjects nor new tasks.

Item URL in elib:https://elib.dlr.de/134743/
Document Type:Article
Title:Indexing Mental Workload During Simulated Air Traffic Control Tasks by Means of Dual Frequency Head Maps
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Radüntz, Thearaduentz.thea (at) baua.bund.deUNSPECIFIED
Fürstenau, NorbertNorbert.Fuerstenau (at) dlr.deUNSPECIFIED
Mühlhausen, Thorstenthorsten.muehlhausen (at) dlr.deUNSPECIFIED
Meffert, BeateHumboldt Universität BerlinUNSPECIFIED
Date:21 April 2020
Journal or Publication Title:Frontiers in Physiology
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:11
DOI :10.3389/fphys.2020.00300
Page Range:pp. 1-13
Publisher:Frontiers Media S.A
ISSN:1664-042X
Status:Published
Keywords:mental workload, psychophysiology, air traffic controllers, electroencephalography, biomedical signal processing, pattern recognition, state monitoring
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 - Human factors and safety in Aeronautics
Location: Braunschweig
Institutes and Institutions:Institute of Flight Guidance
Institute of Flight Guidance > Controller Assistance
Institute of Flight Guidance > ATM-Simulation
Deposited By: Fürstenau, Dr.phil.nat. Norbert
Deposited On:11 Jun 2020 11:54
Last Modified:13 Nov 2020 09:43

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