Related Experiment Video
Updated: Feb 23, 2026

09:37
Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
Published on: July 5, 2015
9.6K
Detecting and Quantifying Mind Wandering during Simulated Driving.
Carryl L Baldwin1, Daniel M Roberts1, Daniela Barragan1
1Department of Psychology, George Mason UniversityFairfax, VA, United States.
Frontiers in Human Neuroscience
|August 30, 2017
Summary
Mind wandering significantly impacts driving safety, leading to reduced speed and lane control. Brain activity changes, detectable via EEG and ERP, correlate with this attentional state, enabling potential safety countermeasures.
Area of Science:
- Cognitive Psychology
- Transportation Safety
- Neuroscience
Background:
- Mind wandering poses a significant risk to transportation safety, contributing to crashes and fatalities.
- Understanding the cognitive and physiological correlates of mind wandering during driving is crucial for enhancing safety.
Purpose of the Study:
- To investigate the impact of induced mind wandering on driving performance and electrophysiological measures.
- To explore the detectability of driver's internal cognitive states during continuous tasks like driving.
Main Methods:
- Participants engaged in a monotonous driving task over five days, with periodic auditory probes to self-report mind wandering.
- Driving performance was assessed by speed and lane variability.
- Electrophysiological data, including electroencephalogram (EEG) alpha band power and event-related potential (ERP) P3a component, were recorded.
Main Results:
- Self-reported mind wandering remained consistently high across participation days.
- Mind wandering was associated with decreased driving speed and lane variability compared to on-task performance.
- Electrophysiological analysis revealed increased EEG alpha power and reduced P3a ERP magnitude during mind wandering.
Conclusions:
- Mind wandering demonstrably affects driving performance and is physiologically detectable.
- The study supports the feasibility of monitoring drivers' internal cognitive states in real-time.
- Identifying mind wandering could lead to advanced driver attention assessment tools and safety interventions.

