%0 Generic
%A He, Xiaolin
%A Stapel, J.C.J. (Jork)
%A Wang, Meng
%A Happee, R. (Riender)
%D 2023
%T Data underlying the publication: Modelling perceived risk and trust in driving automation reacting to merging and braking vehicles
%U 
%R 10.4121/95a4bb4e-3ca4-4fcc-ba34-4be76a9ab578.v1
%K Perceived risk
%K Trust
%K Automated driving
%K Prediction models
%X <p>This dataset is derived from a driving simulator study that explored the dynamics of perceived risk and trust in the context of driving automation. The study involved 25 participants who were tasked with monitoring SAE Level 2 driving automation features (Adaptive Cruise Control and Lane Centering) while encountering various driving scenarios on a motorway. These scenarios included merging and hard-braking events with different levels of criticality.&nbsp;</p><p>This dataset contains kinetic data from the driving simulator, capturing variables such as vehicle position, velocity, and acceleration among others. Subjective ratings of perceived risk and trust, collected post-event for regression analysis are also included.</p>
%I 4TU.ResearchData