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1000 Titel
  • Measuring Correlates of Mental Workload During Simulated Driving Using cEEGrid Electrodes: A Test–Retest Reliability Analysis
1000 Autor/in
  1. Getzmann, Stephan |
  2. Reiser, Julian Elias |
  3. Karthaus, Melanie |
  4. Rudinger, Georg |
  5. Wascher, Edmund |
1000 Erscheinungsjahr 2021
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-09-14
1000 Erschienen in
1000 Quellenangabe
  • 2:729197
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3389/fnrgo.2021.729197 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • The EEG reflects mental processes, especially modulations in the alpha and theta frequency bands are associated with attention and the allocation of mental resources. EEG has also been used to study mental processes while driving, both in real environments and in virtual reality. However, conventional EEG methods are of limited use outside of controlled laboratory settings. While modern EEG technologies offer hardly any restrictions for the user, they often still have limitations in measurement reliability. We recently showed that low-density EEG methods using film-based round the ear electrodes (cEEGrids) are well-suited to map mental processes while driving a car in a driving simulator. In the present follow-up study, we explored aspects of ecological and internal validity of the cEEGrid measurements. We analyzed longitudinal data of 127 adults, who drove the same driving course in a virtual environment twice at intervals of 12–15 months while the EEG was recorded. Modulations in the alpha and theta frequency bands as well as within behavioral parameters (driving speed and steering wheel angular velocity) which were highly consistent over the two measurement time points were found to reflect the complexity of the driving task. At the intraindividual level, small to moderate (albeit significant) correlations were observed in about 2/3 of the participants, while other participants showed significant deviations between the two measurements. Thus, the test-retest reliability at the intra-individual level was rather low and challenges the value of the application for diagnostic purposes. However, across all participants the reliability and ecological validity of cEEGrid electrodes were satisfactory in the context of driving-related parameters.
1000 Sacherschließung
lokal cEEGrids
lokal driving
lokal test-retest reliability
lokal mental work load
lokal EEG
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-6382-0183|https://orcid.org/0000-0001-9147-2916|https://orcid.org/0000-0003-1680-8293|https://frl.publisso.de/adhoc/uri/UnVkaW5nZXIsIEdlb3Jn|https://orcid.org/0000-0003-3616-9767
1000 (Academic) Editor
1000 Label
1000 Förderer
  1. Bundesministerium für Verkehr und Digitale Infrastruktur |
  2. Bundesanstalt für Straßenwesen |
  3. Leibniz-Gemeinschaft |
1000 Fördernummer
  1. 82.0649/2016
  2. No. 82.0649/2016
  3. -
1000 Förderprogramm
  1. -
  2. -
  3. Open Access Fund
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Verkehr und Digitale Infrastruktur |
    1000 Förderprogramm -
    1000 Fördernummer 82.0649/2016
  2. 1000 joinedFunding-child
    1000 Förderer Bundesanstalt für Straßenwesen |
    1000 Förderprogramm -
    1000 Fördernummer No. 82.0649/2016
  3. 1000 joinedFunding-child
    1000 Förderer Leibniz-Gemeinschaft |
    1000 Förderprogramm Open Access Fund
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6432312.rdf
1000 Erstellt am 2022-03-16T11:36:09.613+0100
1000 Erstellt von 254
1000 beschreibt frl:6432312
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Mon Apr 04 09:59:34 CEST 2022
1000 Objekt bearb. Mon Apr 04 09:59:24 CEST 2022
1000 Vgl. frl:6432312
1000 Oai Id
  1. oai:frl.publisso.de:frl:6432312 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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