Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving

Situation awareness (SA) is critical to improving takeover performance during the transition period from automated driving to manual driving. Although many studies measured SA during or after the driving task, few studies have attempted to predict SA in real time in automated driving. In this work, we propose to predict SA during the takeover...

External Human–Machine Interfaces: The Effect of Display Location on Crossing Intentions and Eye Movements

In the future, automated cars may feature external human–machine interfaces (eHMIs) to communicate relevant information to other road users. However, it is currently unknown where on the car the eHMI should be placed. In this study, 61 participants each viewed 36 animations of cars with eHMIs on either the roof, windscreen, grill, above the...

Human factors of monitoring driving automation: Eyes and Scenes

This PhD thesis document is a collection of several of my published (and submitted) peer review journal articles from underneath the Human Factors of Automated Driving (HF Auto, PITN-GA-2013-605817) seventh framework program (FP7) of the European Commission. The topics include: human factors, automotive road safety, autonomous/automated driving...

Adaptive Automation: Automatically (dis)engaging automation during visually distracted driving

Automated driving is becoming increasingly popular and is often proposed as a solution to commonly known human errors in driving. However, fully autonomous driving has not yet reached the point where it can be implemented in real world driving. Current automated driving systems are often designed in such a way that the role of the human operator...