Supporting the interaction of Humans and Automated vehicles: Preparing for the Environment of Tomorrow (Shape-IT)
Research Project, 2019
– 2024
The overall goal of this ETN is to enable rapid and reliable development of safe and user-centred automated vehicles (AVs) for urban environments.Vehicle automation has been identified as a game-changer in transport, promising substantial reductions in road-traffic fatalities while improving mobility. However, the processes to integrate automation in transport have been primarily technology-focussed, with insufficient consideration given to how users both inside and outside of the AVs will interact with AVs.
The main objective of SHAPE-IT is to facilitate the safe, acceptable (and, ideally, desirable) integration of user-centred and transparent AVs into tomorrow’s mixed urban traffic environments, using both existing and new research methods, designing advanced interfaces and control strategies.To realize the objective, the research in this project spans three complementary facets of AV/human factors research: a) understanding the behaviour of different road-users (inside and outside AVs) when interacting with AVs, investigating cognitive processes, predictability, trust, acceptance and safe interaction in initial and long-term AV exposure, b) researching the best design strategies for interfaces used for communication and interaction between AVs and humans (inside and outside AVs), and c) integrating knowledge on human/AV interactions into models to perform prospective mixed traffic AV safety assessments. As AI is a core technology for AV development, this ETN will also seek to integrate knowledge of human factors with that of AI in AV development, reducing the gap between human-factors and AI scientists and AV software developers.The main educational aim of this ETN is to deliver a future generation of human factors researchers with an excellent multidisciplinary (cognitive and behavioural psychology, human-factors, computer science, and engineering) education in human factors experimental and modelling methods, human-AV interaction, safety analysis and AV design.
Participants
Jonas Bärgman (contact)
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Safety
Christian Berger
Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering
Eric Knauss
Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering
Amna Pir Muhammad
Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering
Jacqueline Plette
Chalmers, Research support
Chi Zhang
Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering
Collaborations
Delft University of Technology
Delft, Netherlands
Technical University of Munich
Muenchen, Germany
University of Gothenburg
Gothenburg, Sweden
University of Leeds
Leeds, United Kingdom
University of Ulm
Ulm, Germany
Funding
European Commission (EC)
Project ID: EC/H2020/860410
Funding Chalmers participation during 2019–2023