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WeightNameValue
1000 Titel
  • Evaluating Mental Load During Realistic Driving Simulations by Means of Round the Ear Electrodes
1000 Autor/in
  1. Wascher, Edmund |
  2. Arnau, Stefan |
  3. Reiser, Julian Elias |
  4. Rudinger, Georg |
  5. Karthaus, Melanie |
  6. Rinkenauer, Gerhard |
  7. Dreger, Felix |
  8. Getzmann, Stephan |
1000 Erscheinungsjahr 2019
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2019-09-04
1000 Erschienen in
1000 Quellenangabe
  • 13:940
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2019
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3389/fnins.2019.00940 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737043/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Film based round the ear electrodes (cEEGrids) provide both, the accessibility of unobtrusive mobile EEG as well as a rapid EEG application in stationary settings when extended measurements are not possible. In a large-scale evaluation of driving abilities of older adults (N > 350) in a realistic driving simulation, we evaluated to what extent mental demands can be measured using cEEGrids in a completely unrestricted environment. For a first frequency-based analysis, the driving scenario was subdivided into different street segments with respect to their task loads (low, medium, high) that was a priori rated by an expert. Theta activity increased with task load but no change in Alpha power was found. Effects gained clarity after removing pink noise effects, that were potentially high in this data set due to motion artifacts. Theta fraction increased with task load and Alpha fraction decreased. We mapped this effect to specific street segments by applying a track-frequency analysis. Whilst participants drove with constant speed and without high steering wheel activity, Alpha was high and theta low. The reverse was the case in sections that required either high activity or increased attentional allocation to the driving context. When calculating mental demands for different street segments based on EEG, this measure is highly significant correlated with the experts’ rating of task load. Deviances can be explained by specific features within the segments. Thus, modulations in spectral power of the EEG were validly reflected in the cEEGrids data. All findings were in line with the prominent literature in the field. The results clearly demonstrate the usability of this low-density EEG method for application in real-world settings where an increase in ecological validity might outweigh the loss of certain aspects of internal validity.
1000 Sacherschließung
lokal Alpha power
lokal driving
lokal mental work load
lokal EEG
lokal Theta Power
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0003-3616-9767|https://orcid.org/0000-0002-8858-4287|https://orcid.org/0000-0001-9147-2916|https://frl.publisso.de/adhoc/uri/UnVkaW5nZXIsIEdlb3Jn|https://frl.publisso.de/adhoc/uri/S2FydGhhdXMsIE1lbGFuaWU=|https://frl.publisso.de/adhoc/uri/Umlua2VuYXVlciwgR2VyaGFyZA==|https://orcid.org/0000-0003-2918-116X|https://orcid.org/0000-0002-6382-0183
1000 Label
1000 Förderer
  1. Bundesministerium für Verkehr und Digitale Infrastruktur |
  2. Leibniz-Gemeinschaft |
1000 Fördernummer
  1. 82.0649/2016
  2. -
1000 Förderprogramm
  1. -
  2. 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 Leibniz-Gemeinschaft |
    1000 Förderprogramm Open Access Fund
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6416918.rdf
1000 Erstellt am 2019-10-18T12:12:02.030+0200
1000 Erstellt von 254
1000 beschreibt frl:6416918
1000 Bearbeitet von 122
1000 Zuletzt bearbeitet 2020-10-26T13:03:44.840+0100
1000 Objekt bearb. Mon Oct 26 13:03:44 CET 2020
1000 Vgl. frl:6416918
1000 Oai Id
  1. oai:frl.publisso.de:frl:6416918 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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