In autonomous vehicles (AVs), factors affecting performance, such as loss of control, operational limits and unforeseen circumstances mean that liability is, and will remain, a point of contention among users, manufacturers, insurers and policymakers.
Establishing better driver education and human-machine interaction is essential in aligning perceptions of risk and liability to avoid threats to safety, resources, and/or reputation.
This project examines how liability is perceived and communicated between AVs’ drivers, and 3rd-party insurers, and aims to develop integrated and commonly agreed-on mental models that help each stakeholder in their risks and responsibilities of vehicle control.
