ArticleFrontiers in human neuroscience2018
Age-Related Differences in Pro-active Driving Behavior Revealed by EEG Measures.
Article in Frontiers in human neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Aging on the road: neural and behavioral correlates of cognitive control during distracted driving.Frontiers in aging neuroscience · 2026Article
- Multitasking: does task-switching add to the effect of dual-tasking on everyday-like driving behavior?Cognitive research: principles and implications · 2025Article
- Age-related differences in eye blink-related neural activity and functional connectivity during driving.Heliyon · 2025Article
- Article
- Simulated driving behavior over the adult age span.Frontiers in aging neuroscience · 2025Article
- Behavior and Task Classification Using Wearable Sensor Data: A Study across Different Ages.Sensors (Basel, Switzerland) · 2023Article
- Neuroergonomics on the Go: An Evaluation of the Potential of Mobile EEG for Workplace Assessment and Design.Human factors · 2023Article
- Attempting to counteract vigilance decrement in older adults with brain stimulation.Frontiers in neuroergonomics · 2023Article
- Commonly Used Assessment Method to Evaluate Mental Workload for Multiple Driving Distractions: A Systematic Review.Iranian journal of public health · 2022Review
- Real-Time Audio Processing of Real-Life Soundscapes for EEG Analysis: ERPs Based on Natural Sound Onsets.Frontiers in neuroergonomics · 2022Article
- Effects of gender, age, experience, and practice on driver reaction and acceptance of traffic jam chauffeur systems.Scientific reports · 2021Article
- Measuring Correlates of Mental Workload During Simulated Driving Using cEEGrid Electrodes: A Test-Retest Reliability Analysis.Frontiers in neuroergonomics · 2021Article
- Spatial Mental Transformation Skills Discriminate Fitness to Drive in Young and Old Adults.Frontiers in psychology · 2020Article
- Driving Style Recognition Based on Electroencephalography Data From a Simulated Driving Experiment.Frontiers in psychology · 2019Article
- A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving.Frontiers in human neuroscience · 2019Review
- Evaluating Mental Load During Realistic Driving Simulations by Means of Round the Ear Electrodes.Frontiers in neuroscience · 2019Article
- Quantifying the Effect of Noise on Cognitive Processes: A Review of Psychophysiological Correlates of Workload.Noise & healthReview
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Healthy aging is associated with a decline in cognitive functions. This may become an issue when complex tasks have to be performed like driving a car in a demanding traffic situation. On the other hand, older people are able to compensate for age-related deficits, e.g., by deploying extra mental effort and other compensatory strategies. The present study investigated the interplay of age, task workload, and mental effort using EEG measures and a proactive driving task, in which 16 younger and 16 older participants had to keep a virtual car on track on a curvy road. Total oscillatory power and relative power in Theta and Alpha bands were analyzed, as well as event-related potentials (ERPs) to task-irrelevant regular and irregular sound stimuli. Steering variability and Theta power increased with increasing task load (i.e., with shaper bends of the road), while Alpha power decreased. This pattern of workload and mental effort was found in both age groups. However, only in the older group a relationship between steering variability and Theta power occurred: better steering performance was associated with higher Theta power, reflecting higher mental effort. Higher Theta power while driving was also associated with a stronger increase in reported subjective fatigue in the older group. In the younger group, lower steering variability came along with lower ERP responses to deviant sound stimuli, reflecting reduced processing of task-irrelevant environmental stimuli. In sum, better performance in proactive driving (i.e., more alert steering behavior) was associated with increased mental effort in the older group, and higher attentional focus on the task in the younger group, indicating age-specific strategies in the way younger and older drivers manage demanding (driving) tasks.
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