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Proactive vs. reactive car driving: EEG evidence for different driving strategies of older drivers
Aging is associated with a large heterogeneity in the extent of age-related changes in sensory, motor, and cognitive functions. All these functions can influence the performance in complex tasks like car driving. The present study aims to identify potential differences in underlying cognitive proces...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5774811/ https://www.ncbi.nlm.nih.gov/pubmed/29352314 http://dx.doi.org/10.1371/journal.pone.0191500 |
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author | Karthaus, Melanie Wascher, Edmund Getzmann, Stephan |
author_facet | Karthaus, Melanie Wascher, Edmund Getzmann, Stephan |
author_sort | Karthaus, Melanie |
collection | PubMed |
description | Aging is associated with a large heterogeneity in the extent of age-related changes in sensory, motor, and cognitive functions. All these functions can influence the performance in complex tasks like car driving. The present study aims to identify potential differences in underlying cognitive processes that may explain inter-individual variability in driving performance. Younger and older participants performed a one-hour monotonous driving task in a driving simulator under varying crosswind conditions, while behavioral and electrophysiological data were recorded. Overall, younger and older drivers showed comparable driving performance (lane keeping). However, there was a large difference in driving lane variability within the older group. Dividing the older group in two subgroups with low vs. high driving lane variability revealed differences between the two groups in electrophysiological correlates of mental workload, consumption of mental resources, and activation and sustaining of attention: Older drivers with high driving lane variability showed higher frontal Alpha and Theta activity than older drivers with low driving lane variability and—with increasing crosswind—a more pronounced decrease in Beta activity. These results suggest differences in driving strategies of older and younger drivers, with the older drivers using either a rather proactive and alert driving strategy (indicated by low driving lane variability and lower Alpha and Beta activity), or a rather reactive strategy (indicated by high driving lane variability and higher Alpha activity). |
format | Online Article Text |
id | pubmed-5774811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57748112018-02-05 Proactive vs. reactive car driving: EEG evidence for different driving strategies of older drivers Karthaus, Melanie Wascher, Edmund Getzmann, Stephan PLoS One Research Article Aging is associated with a large heterogeneity in the extent of age-related changes in sensory, motor, and cognitive functions. All these functions can influence the performance in complex tasks like car driving. The present study aims to identify potential differences in underlying cognitive processes that may explain inter-individual variability in driving performance. Younger and older participants performed a one-hour monotonous driving task in a driving simulator under varying crosswind conditions, while behavioral and electrophysiological data were recorded. Overall, younger and older drivers showed comparable driving performance (lane keeping). However, there was a large difference in driving lane variability within the older group. Dividing the older group in two subgroups with low vs. high driving lane variability revealed differences between the two groups in electrophysiological correlates of mental workload, consumption of mental resources, and activation and sustaining of attention: Older drivers with high driving lane variability showed higher frontal Alpha and Theta activity than older drivers with low driving lane variability and—with increasing crosswind—a more pronounced decrease in Beta activity. These results suggest differences in driving strategies of older and younger drivers, with the older drivers using either a rather proactive and alert driving strategy (indicated by low driving lane variability and lower Alpha and Beta activity), or a rather reactive strategy (indicated by high driving lane variability and higher Alpha activity). Public Library of Science 2018-01-19 /pmc/articles/PMC5774811/ /pubmed/29352314 http://dx.doi.org/10.1371/journal.pone.0191500 Text en © 2018 Karthaus et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Karthaus, Melanie Wascher, Edmund Getzmann, Stephan Proactive vs. reactive car driving: EEG evidence for different driving strategies of older drivers |
title | Proactive vs. reactive car driving: EEG evidence for different driving strategies of older drivers |
title_full | Proactive vs. reactive car driving: EEG evidence for different driving strategies of older drivers |
title_fullStr | Proactive vs. reactive car driving: EEG evidence for different driving strategies of older drivers |
title_full_unstemmed | Proactive vs. reactive car driving: EEG evidence for different driving strategies of older drivers |
title_short | Proactive vs. reactive car driving: EEG evidence for different driving strategies of older drivers |
title_sort | proactive vs. reactive car driving: eeg evidence for different driving strategies of older drivers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5774811/ https://www.ncbi.nlm.nih.gov/pubmed/29352314 http://dx.doi.org/10.1371/journal.pone.0191500 |
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