Explanations and Expectations: Trust Building in Autonomous Vehicles
Lionel Robert, PhD
Assistant Professor of Information, U-M School of Information
January – December 2017
Anuj Pradhan, PhD
Assistant Research Scientist, Human Factors Group, U-M Transportation Research Institute
Dawn Tilbury, PhD
Chair of the Steering Committee on Advanced Manufacturing, Professor of Mechanical Engineering and Professor of Electrical Engineering and Computer Science, U-M College of Engineering
- To understand the set of expectations a driver has for their autonomous vehicle.
- Develop a set of explanations autonomous vehicles should provide to promote trust.
- To understand how content, timing and delivery impacts the effectiveness of explanations.
- Match up explanations and their characteristics (i.e. content, length of timing and delivery) with the appropriate expectation violation.
- We will conduct two user studies that will manipulate the content, timing and mode of explanations.
- The user studies will have 30 participants each interacting with the UMTRI simulator.
Provide recommendations to automated vehicle manufacturers on what, when and how the automated vehicle should respond to the driver to promote trust.
Participants will engage in a preprogramed driving course with unique driving scenarios and crafted explanations to match specific driving scenarios.