Age-Related Differences in Pro-active Driving Behavior Revealed by EEG Measures

Area of Science:

• Cognitive Neuroscience
• Human Factors Engineering
• Gerontology

Background:

• Cognitive functions decline with age, impacting complex task performance like driving.
• Older adults employ compensatory strategies, such as increased mental effort, to manage age-related deficits.
• Understanding age-specific driving strategies is crucial for road safety and adaptive system design.

Purpose of the Study:

• To investigate the interplay of age, task workload, and mental effort during a demanding driving task.
• To examine electroencephalography (EEG) measures and behavioral performance in younger and older drivers.
• To identify age-specific neural and behavioral strategies for managing driving complexity.

Main Methods:

• Utilized a proactive driving task with varying road curvatures to manipulate task workload.
• Recorded electroencephalography (EEG) data, analyzing oscillatory power (Theta, Alpha bands) and event-related potentials (ERPs).
• Assessed steering variability as a behavioral performance metric in 16 younger and 16 older participants.

Main Results:

• Both age groups exhibited increased steering variability and Theta power, with decreased Alpha power, under higher task workload.
• In older adults, better steering performance correlated with higher Theta power (increased mental effort) and greater reported fatigue.
• Younger drivers showed reduced ERP responses to deviant stimuli with better steering, indicating enhanced attentional focus.

Conclusions:

• Older drivers employ greater mental effort to maintain driving performance in demanding situations.
• Younger drivers enhance task focus and reduce environmental stimulus processing for optimal performance.
• Distinct age-related cognitive and neural strategies are employed to manage complex driving tasks.