3 papers
cs.HC2025
Visionary Co-Driver: Enhancing Driver Perception of Potential Risks with LLM and HUD
Wei Xiang, Ziyue Lei, Jie Wang +5
Drivers' perception of risky situations has always been a challenge in driving. Existing risk-detection methods excel at identifying collisions but face challenges in assessing the…
cs.HC2025
Hand by Hand: LLM Driving EMS Assistant for Operational Skill Learning
Wei Xiang, Ziyue Lei, Haoyuan Che +3
Operational skill learning, inherently physical and reliant on hands-on practice and kinesthetic feedback, has yet to be effectively replicated in large language model (LLM)-suppor…
cs.HC2025
Driver Assistant: Persuading Drivers to Adjust Secondary Tasks Using Large Language Models
Wei Xiang, Muchen Li, Jie Yan +4
Level 3 automated driving systems allows drivers to engage in secondary tasks while diminishing their perception of risk. In the event of an emergency necessitating driver interven…