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

Human factors of monitoring driving automation: Eyes and Scenes

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