ArticlePloS one2018
Proactive vs. reactive car driving: EEG evidence for different driving strategies of older drivers.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Beyond Technologies of Electroencephalography-Based Brain-Computer Interfaces: A Systematic Review From Commercial and Ethical Aspects.Frontiers in neuroscience · 2020Pooled it
- Age-related differences in eye blink-related neural activity and functional connectivity during driving.Heliyon · 2025Article
- Article
- Synchronization-based fusion of EEG and eye blink signals for enhanced decoding accuracy.Scientific reports · 2024Article
- Blink-related EEG activity measures cognitive load during proactive and reactive driving.Scientific reports · 2023Article
- Neuroergonomics on the Go: An Evaluation of the Potential of Mobile EEG for Workplace Assessment and Design.Human factors · 2023Article
- Cognitive aging at work and in daily life-a narrative review on challenges due to age-related changes in central cognitive functions.Frontiers in psychology · 2023Review
- The Sample Size Matters: To What Extent the Participant Reduction Affects the Outcomes of a Neuroscientific Research. A Case-Study in Neuromarketing Field.Sensors (Basel, Switzerland) · 2021Article
- Measuring Correlates of Mental Workload During Simulated Driving Using cEEGrid Electrodes: A Test-Retest Reliability Analysis.Frontiers in neuroergonomics · 2021Article
- Vital Sign Monitoring in Car Seats Based on Electrocardiography, Ballistocardiography and Seismocardiography: A Review.Sensors (Basel, Switzerland) · 2020Review
- Evaluating Mental Load During Realistic Driving Simulations by Means of Round the Ear Electrodes.Frontiers in neuroscience · 2019Article
- Driving Style Recognition Based on Electroencephalography Data From a Simulated Driving Experiment.Frontiers in psychology · 2019Article
- Finger Temperature: A Psychophysiological Assessment of the Attentional State.Frontiers in human neuroscience · 2019Article
- Behavior Evaluation Based on Electroencephalograph and Personality in a Simulated Driving Experiment.Frontiers in psychology · 2019Article
- Evaluating Pro- and Re-Active Driving Behavior by Means of the EEG.Frontiers in human neuroscience · 2018Article
- Age-Related Differences in Pro-active Driving Behavior Revealed by EEG Measures.Frontiers in human neuroscience · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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).
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.