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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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/ | ||||||||||||||||||||
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Document Type: | Article | ||||||||||||||||||||
Title: | Indexing Mental Workload During Simulated Air Traffic Control Tasks by Means of Dual Frequency Head Maps | ||||||||||||||||||||
Authors: |
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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 (old) | ||||||||||||||||||||
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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