AUTOMOTIVEUI '23
AutomotiveUI (or short: AutoUI) is the International ACM SIGCHI Conference on Automotive User Interfaces and Interactive Vehicular Applications. It is the premier forum for UI research in the automotive domain. The conference annually brings together over 200 researchers and practitioners interested in both the technical and the human aspects of in-vehicle user interfaces and applications, to provide a forum for the exchange of technical information concerning research (and practice) and educational activities for motor vehicle user interface development. We have multiple meeting categories in which researchers, practitioners, and other interested parties can take part in our conference and community. We welcome you to engage with us in this exciting field!
What Do You Expect for Your AV? The 2nd Workshop on Behaviors of Autonomous Vehicles in Ambiguous Driving Scenarios
AVs Ambiguous Driving Scenarios
The Organizers
Tiju Baby, PhDResearch assistant professor in Department of Industrial and Systems Engineering at Gyeongsang National University, His current area of research is Autonomous Vehicle safety. He wishes to extend his research area to high-tech related fields such as autonomous vehicle safety and smart mobility.
Yiqi Zhang, PhDAssistant Professor of the Department of Industrial and Manufacturing Engineering at Pennsylvania State University, University Park. Her Human-Technology Interaction (HTI) Lab focuses on understanding driver trust in automation, situation awareness, driving styles, human-machine interfaces, and human performance modeling.
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Hatice Sahin, MSDoctoral candidate at the University of Oldenburg, Germany. Her research focuses on acceptance of AVs and prosocial interaction between AVs and other road users. She is a member of the Graduate School on Social Embeddedness of Autonomous Cyber Physical Systems.
Sol Hee Yoon, PhDAssistant Professor of the Department of Safety Engineering at Seoul National University of
Science and Technology. Her research focuses on the design of safe transportation systems based on human factors and ergonomics methodologies |
Jieum Lee, PhDAssistant Professor in the Faculty of Environmental, Life, Natural Science and Technology at Okayama University and also a Collaborative Researcher at Keio University Global Research Institute (KGRI). Expert in Human Factors problems and designing human-machine systems to support better human-machine interaction
Seul Chan Lee, PhDAssistant Professor of the Department of Industrial and Systems Engineering at Gyeongsang National University. His research goal is to explore users’ needs and requirements, evaluate system artifacts and make systems and devices better based on Human Factors and Human-Computer Interaction theories and methodologies
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