4 papers
Designing for Dignity while Driving: Interaction Needs of Blind and Low-Vision Passengers in Fully Automated Vehicles
Zhengtao Ma, Rafael Gomez, Togtokhtur Batbold +3
Fully automated vehicles (FAVs) hold promise for enhancing the mobility of blind and low-vision (BLV) individuals. To understand the situated interaction needs of BLV passengers, w…
Small Talk, Big Impact? LLM-based Conversational Agents to Mitigate Passive Fatigue in Conditional Automated Driving
Lewis Cockram, Yueteng Yu, Jorge Pardo +6
Passive fatigue during conditional automated driving can compromise driver readiness and safety. This paper presents findings from a test-track study with 40 participants in a real…
What Makes a Fantastic Passenger-Car Driver in Urban Contexts?
Yueteng Yu, Zhijie Yi, Xinyu Yang +11
The accurate evaluation of the quality of driving behavior is crucial for optimizing and implementing autonomous driving technology in practice. However, there is no comprehensive…
"Tell me about that church": Exploring the Design and User Experience of In-Vehicle Multi-modal Intuitive Interface in the Context of Driving Scenario
Yueteng Yu, Yan Zhang, Gary Burnett
Intuitive interaction has long been seen as a highly user-friendly method. There are attempts to implement intuitive interfaces in vehicles in both research and industrial, such as…