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

Measurement of the lateral characteristics and identification of the Magic Formula parameters of city and cargo bicycle tyres

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

Designing user interfaces for partially automated Vehicles: Effects of information and modality on trust and acceptance

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

Indoor measurement of the lateral characteristics of a cargo bicycle tyre

Neck stabilization through sensory integration of vestibular and visual motion cues

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

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

Connected Traffic of Vulnerable Bicyclists and Automated Vehicles: Deep Learning Trajectory Generation for Realistic Simulated Bicycle Intersection Crossings

Validation of a moving base driving simulator for motion sickness research

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

Standards for passenger comfort in automated vehicles: Acceleration and jerk

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

Computationally Efficient Human Body Modelling for Real Time Motion Comfort Assessment