TY - DATA
T1 - Data underlying the publication: Modelling perceived risk and trust in driving automation reacting to merging and braking vehicles
PY - 2023/10/20
AU - Xiaolin He
AU - J.C.J. (Jork) Stapel
AU - Meng Wang
AU - R. (Riender) Happee
UR - 
DO - 10.4121/95a4bb4e-3ca4-4fcc-ba34-4be76a9ab578.v1
KW - Perceived risk
KW - Trust
KW - Automated driving
KW - Prediction models
N2 - <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>
ER -