Exploring the impact of display types of information about autonomous driving in semi-autonomous vehicles on drivers' situation awareness and take-over performance under different driving scenarios.
Ontology highlight
ABSTRACT: With the advent of the era of autonomous driving, designing an effective and appropriate autonomous driving information display is crucial for ensuring driving safety. Head-up Display (HUD) is regarded as a promising way for presenting in-vehicle information in the future. This study conducted a simulation experiment to explore the impacts of three types of autonomous driving information displays on HUD on Situation Awareness (SA) and take-over performance, while considering the complexity of different driving scenarios. The experiment used in this study adopted a Latin square experimental design and employed an integrated eye-tracking technology with self-reporting and the Situation Awareness Global Assessment Technique (SAGAT). The results show that although young drivers perform better
SUBMITTER: Zhou C
PROVIDER: S-EPMC12373254 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature
ACCESS DATA