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.
Abstract:
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.
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