Consumer adoption of autonomous technology will depend in large part on how split-second moments in which imminent hazards are about to happen are experienced. Students on this Veoneer team will use human centric design to research and prototype a visual and audible driver alert system that improves the communication between the vehicle and its operator.
In level 2 autonomous driving, advanced driver assistance systems (ADAS) such adaptive cruise control assist the driver and enhance vehicle safety. Level 3 automated driving systems (ADS) can actually perform some of the driving tasks, allowing the driver to take their eyes off the road, as long as they stay alert. In these scenarios, the driver has to be fully aware of what is in and out of their control, and when they need to re-assume full control. Lack of trust is a major roadblock for adoption of currently available vehicle tech. Consumer surveys show that motorists often turn off safety features such as lane-keeping assist because they beep too often. On the other end, drivers can also over-trust technology, resulting in severe crashes.
Consumer adoption of autonomous technology will depend in large part on how split-second moments in which imminent hazards are about to happen are experienced. Humans must trust automated systems to make the right decisions. In return, these systems must decipher a human driver’s readiness to intervene, as well as respond to a range of driver skill levels and human emotions. The students on this team will use human centric design to research and prototype a visual and audible driver alert system that improves the communication between the vehicle and its operator.
Display Integration (2 students)
Specific Skills: Incorporation of display into greater system. Basic knowledge of embedded system, signal processing, etc.
Likely Majors: EE, CS
General Programming (2 students)
Specific Skills: General programming skills. Completion of EECS 281 HMI development. The project will utilize C++ and Qt. Interest in human centered design process.
Likely Majors: CS, EE, CE
Human Perception / User Interface (1 student)
Specific Skills: Human perception and decision-making. User experience from a driver perspective.
Likely Majors: IOE, SI, Psychology
Design Science and Product/Industrial Design (1 – 2 students)
Specific Skills: Design Science, Design Process, Ethnographic Observation, User Studies, Creative Development/Generation of Solution concepts, Human Machine Interface
Likely Majors: ISD-Design Science, ARTDES, Any degree with C-SED minor
Allen Sun is the product owner responsible for user experience and HMI in Veoneer’s Next Generation Supervised area. He has experience working in the automotive industry on user interaction, instrument clusters, and innovation and design thinking. He has a background in mechanical engineering and human centered design.
Michael is an Assistant Professor in the School of Information, where he leads the Information Interaction Lab. His lab investigates new methods, tools and technologies that enable users to interact with information in more natural and powerful ways, and also make it easier for designers to create more usable and effective user interfaces. Previously, he was a postdoctoral researcher and lecturer at the HCI Institute at Carnegie Mellon University and the Department of Computer Science at ETH Zurich, where he also obtained his PhD.
Course Substitutions: Honors, ChE Elective, CS MDE/Capstone, CE MDE, EE MDE, IOE Senior Design, ISD AUTO 503, MECHENG 490, MECHENG 590
Internship/Summer Opportunity: Students will be guaranteed an interview for a 2021 internship. The interviews will take place in January / February 2021.
Citizenship Requirements: This project is open to all students.
IP/NDA: Students will sign IP/NDA document(s) that are unique to Veoneer.