The aim of this study is to identify the best practices and future research directions for driver
lane-change intention (DLCI) prediction using eye-tracking technologies based on a …

Take-over situations in highly automated driving occur when drivers have to take over
vehicle control due to automation shortcomings. Due to high visual processing demand of …

Passengers of automated vehicles will likely engage in non-driving related activities like
reading and, therefore, be disengaged from the driving task. However, especially in critical …

The use of ultrasound haptic feedback for mid-air gestures in cars has been proposed to
provide a sense of control over the user's intended actions and to add touch to a touchless …

This study investigates the impact of peripheral visual information in alleviating motion
sickness when engaging in non-driving tasks in fully automated driving. A peripheral visual …

Advanced Driver Assistance Systems (ADAS) are systems developed to assist the human
driver and therefore to make driving safer and better. Understanding and predicting human …

In the last decade, several in-vehicle light displays have been proposed. These displays
inform drivers via light patterns that go beyond simple status indicators. In this literature …

To promote calm breathing inside a car, we designed a just-in-time breathing intervention
stimulated by multi-sensory feedback and evaluated its efficacy in a driving simulator …

The number of assistance systems in cars has been increasing in recent years. While these
systems are targeted at supporting the individual driver and his or her safety, they may …

This study investigates the effect of peripheral visual and haptic information in providing
information about upcoming motions of a fully automated vehicle to an occupant engaging in …