Augmented reality interfaces for pedestrian-vehicle interactions: An online study

Augmented reality concepts for pedestrian-vehicle interactions: An online study

Towards future pedestrian-vehicle interactions: Introducing theoretically-supported AR prototypes

Vulnerable road users and the coming wave of automated vehicles: Expert perspectives

Redesigning Today’s Driving Automation Toward Adaptive Backup Control With Context-Based and Invisible Interfaces

Emergency braking at intersections: A motion-base motorcycle simulator study

Take over! A video-clip study measuring attention, situation awareness, and decision-making in the face of an impending hazard

Prediction of effort and eye movement measures from driving scene components

Takeover Quality: Assessing the Effects of Time Budget and Traffic Density with the Help of a Trajectory-Planning Method

What impressions do users have after a ride in an automated shuttle? An interview study

Compliance with Monitoring Requests, Biomechanical Readiness, and Take-Over Performance: Video Analysis from a Simulator Study

How do drivers merge heavy goods vehicles onto freeways?: A semi-structured interview unveiling needs for communication and support

Blind driving by means of the track angle error

How Do eHMIs Affect Pedestrians’ Crossing Behavior? A Study Using a Head-Mounted Display Combined with a Motion Suit

Will vehicle data be shared to address the how, where, and who of traffic accidents?

How to keep drivers engaged while supervising driving automation? A literature survey and categorisation of six solution areas

Beyond mere take-over requests: The effects of monitoring requests on driver attention, take-over performance, and acceptance

External human-machine interfaces on automated vehicles: Effects on pedestrian crossing decisions

Conceptual testing of visual HMIs for merging of trucks

Determinants of take-over time from automated driving: A meta-analysis of 129 studies