User experience of driver-vehicle interaction systems
Photo by Mark Cruz on UnsplashThis project explores the human-factor issues of designing advanced driver assistance systems: enhancing intelligence, comfort, and safety.
It covers the studies that I was involved in 2016 - 2017 at the Division of Interaction Design, Chalmers University of Technology.
Yuan Liao
Postdoctoral Research Fellow in Mobility
My research interests include mobility data science, urban big data, GIS, sustainable transport.
Publications
How Drivers Respond to Visual vs Auditory Information in Advisory Traffic Information Systems
Data from two simulator studies with 50 participants in total, where the visual vs. the auditory modality was used to present the same type of advisory traffic information under the same driving scenarios.
Cross-regional driver–vehicle interaction design: an interview study on driving risk perceptions, decisions, and ADAS function preferences
Driving behaviour and technological preferences in typical driving scenarios using data from 46 participants by one-to-one interviews on video clips from naturalistic and representative real driving scenarios.
Context-adaptive support information for truck drivers: An interview study on its contents priority
The present study revealed the context-adaptive support information from the perspective of truck drivers; their perceptions of in-vehicle information contents priority in 6 typical driving contexts.
Cross-regional study on driver response behavior patterns and system acceptance with triggered forward collision warning
Driver response behavior patterns towards two alarm timings, in car-following scenarios with different traffic density. Data from 32 participants in China and 30 participants in Sweden were collected using a driving simulator.
