Presentation
Improving Situation Awareness in Partially Automated Vehicles: The Effectiveness of Redesigned Visual Signals
DescriptionThis research investigates the potential of redesigned visual signals in the instrument cluster to enhance situation awareness (SA) and driving performance in partially automated vehicles. By integrating situation awareness information into visual signals based on Endsley's model of SA, it aims to enable drivers to quickly attain higher levels of SA, bypassing traditional sequential information processing stages. This could significantly improve cognitive efficiency during critical transitions from automated to manual control. The effectiveness of these signals is assessed by measuring takeover times to determine their impact on driver response in situations requiring sudden control reestablishment. The findings will inform the development of Human-Machine Interfaces (HMI) for Level 2 and Level 3 automated vehicles, offering insights into optimizing SA recovery and enhancing safety during crucial driving scenarios. This study addresses the urgent need for solutions that assist drivers in regaining SA swiftly and effectively after disengagement.
Event Type
Lecture
TimeTuesday, September 10th4:55pm - 5:15pm MST
LocationFLW Salon G
Surface Transportation