Das Suchergebnis hat sich seit Ihrer Suchanfrage verändert. Eventuell werden Dokumente in anderer Reihenfolge angezeigt.
  • Treffer 23 von 75
Zurück zur Trefferliste

Shedding light on the prefrontal correlates of mental workload in simulated driving: A functionalnear-infrared spectroscopy study

  • Optimal mental workload plays a key role in driving performance. Thus, driver-assisting systems that automatically adapt to a drivers current mental workload via brain–computer interfacing might greatly contribute to traffic safety. To design economic brain computer interfaces that do not compromise driver comfort, it is necessary to identify brain areas that are most sensitive to mental workload changes. In this study, we used functional near-infrared spectroscopy and subjective ratings to measure mental workload in two virtual driving environments with distinct demands. We found that demanding city environments induced both higher subjective workload ratings as well as higher bilateral middle frontal gyrus activation than less demanding country environments. A further analysis with higher spatial resolution revealed a center of activation in the right anterior dorsolateral prefrontal cortex. The area is highly involved in spatial working memory processing. Thus, a main component of drivers’ mental workload in complex surroundings might stem from the fact that large amounts of spatial information about the course of the road as well as other road users has to constantly be upheld, processed and updated. We propose that the right middle frontal gyrus might be a suitable region for the application of powerful small-area brain computer interfaces.

Volltext Dateien herunterladen

Metadaten exportieren

Weitere Dienste

Teilen auf Twitter Suche bei Google Scholar
Metadaten
Verfasserangaben:Christoph Geißler, Jörn Schneider, Christian Frings
URN:urn:nbn:de:hbz:385-1-18055
DOI:https://doi.org/10.1038/s41598-020-80477-w
Titel des übergeordneten Werkes (Englisch):Scientific Reports
Verlag:Springer Nature
Verlagsort:London
Dokumentart:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Fertigstellung:12.01.2021
Datum der Veröffentlichung:12.01.2021
Veröffentlichende Institution:Universität Trier
Beteiligte Körperschaft:The publication was funded by the Open Access Fund of Universität Trier and the German Research Foundation (DFG)
Datum der Freischaltung:10.03.2022
GND-Schlagwort:Fahrerassistenzsystem; Fahrzeugverhalten; Gehirn-Computer-Schnittstelle; Psychische Belastung; Stadt; Stirnhirn
Seitenzahl:10
Institute:Fachbereich 1
DDC-Klassifikation:1 Philosophie und Psychologie / 15 Psychologie / 150 Psychologie
Lizenz (Deutsch):License LogoCC BY: Creative-Commons-Lizenz 4.0 International

$Rev: 13581 $