ArticleHuman factors2024
This Is Your Brain on Autopilot 2.0: The Influence of Practice on Driver Workload and Engagement During On-Road, Partially Automated Driving.
Article in Human factors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- The distraction potential of driving a partially automated vehicle through a construction zone.Scientific reports · 2025Article
- Nature images are more visually engaging than urban images: evidence from neural oscillations in the brain.Frontiers in human neuroscience · 2025Article
- Cognitive Response of Underground Car Driver Observed by Brain EEG Signals.Sensors (Basel, Switzerland) · 2024Article
- Adopting Stimulus Detection Tasks for Cognitive Workload Assessment: Some Considerations.Human factors · 2024Review
- Intimate relationships regulate female brain activity in a competitive context: evidence from EEG and functional connectivity analysis.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- EEG Dataset Collection for Mental Workload Predictions in Flight-Deck Environment.Sensors (Basel, Switzerland) · 2024Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis on-road study employed behavioral and neurophysiological measurement techniques to assess the influence of six weeks of practice driving a Level 2 partially automated vehicle on driver workload and engagement.
backgroundLevel 2 partial automation requires a driver to maintain supervisory control of the vehicle to detect "edge cases" that the automation is not equipped to handle. There is mixed evidence regarding whether drivers can do so effectively. There is also an open question regarding how practice and familiarity with automation influence driver cognitive states over time.
methodBehavioral and neurophysiological measures of driver workload and visual engagement were recorded from 30 participants at two testing sessions-with a six-week familiarization period in-between. At both testing sessions, participants drove a vehicle with partial automation engaged (Level 2) and not engaged (Level 0) on two interstate highways while reaction times to the detection response task (DRT) and neurophysiological (EEG) metrics of frontal theta and parietal alpha were recorded.
resultsDRT results demonstrated that partially automated driving placed more cognitive load on drivers than manual driving and six weeks of practice decreased driver workload-though only when the driving environment was relatively simple. EEG metrics of frontal theta and parietal alpha showed null effects of partial automation.
conclusionDriver workload was influenced by level of automation, specific highway characteristics, and by practice over time, but only on a behavioral level and not on a neural level. APPLICATION: These findings expand our understanding of the influence of practice on driver cognitive states under Level 2 partial automation.
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