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Redesigning Today’s Driving Automation Toward Adaptive Backup Control With Context-Based and Invisible Interfaces
Prediction of effort and eye movement measures from driving scene components
Situation awareness based on eye movements in relation to the task environment
How to keep drivers engaged while supervising driving automation? A literature survey and categorisation of six solution areas
Adaptive automation: automatically (dis)engaging automation during visually distracted driving
The 4D LINT model of function allocation: Spatial-temporal arrangement and levels of automation
Validity and reliability of naturalistic driving scene categorization Judgments from crowdsourcing
Cyclists’ eye movements and crossing judgments at uncontrolled intersections: An eye-tracking study using animated video clips
Visual sampling processes revisited: replicating and extending senders (1983) using modern eye-tracking equipment
What makes driving difficult?: Perceived effort and eye measures follow visible semantic complexity factors
Subjective and objective descriptions of driving scenes in support of driver-automation interactions
Cyclists' eye movements at uncontrolled intersections: An eye-tracking study using animated video clips
Human factors of transitions in automated driving: A general framework and literature survey
From Mackworth’s clock to the open road: A literature review on driver vigilance task operationalization
Eye-based driver state monitor of distraction, drowsiness, and cognitive load for transitions of control in automated driving
Review of eye-related measures of drivers’ mental workload
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