How manoeuvre information via auditory (spatial and beep) and visual UI can enhance trust and acceptance in automated driving

The role of vision in sensory integration models for predicting motion perception and sickness

Conceptualising user comfort in automated driving: Findings from an expert group workshop

Standards for passenger comfort in automated vehicles: Acceleration and jerk

Do driver’s characteristics, system performance, perceived safety, and trust influence how drivers use partial automation?: A structural equation modelling analysis

Modelling individual motion sickness accumulation in vehicles and driving simulators

A risk-based driver behaviour model

Indoor measurement of the lateral characteristics of a cargo bicycle tyre

Neck stabilization through sensory integration of vestibular and visual motion cues

The influence of a color themed HMI on trust and take-over performance in automated vehicles

Safety Assessment of the Interaction Between an Automated Vehicle and a Cyclist: A Controlled Field Test

Validating models of sensory conflict and perception for motion sickness prediction

(Mis-)use of standard Autopilot and Full Self-Driving (FSD) Beta: Results from interviews with users of Tesla's FSD Beta

Validation of a moving base driving simulator for motion sickness research

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

Validation of a novel bicycle simulator with realistic lateral and roll motion

Modelling Neck Postural Stabilization Using Optimal Control Techniques for Dynamic Driving

Evaluation of Motion Comfort using Advanced Active Human Body Models and Efficient Simplified Models

Optimal Trajectory Planning for Mitigated Motion Sickness: Simulator Study Assessment

Beyond Beeps: Designing Ambient Sound as a Take-Over Request in Automated Vehicles