  The present cross-disciplinary research explores pedestrian-autonomous
vehicle interactions in a safe, virtual environment. We first present
contemporary tools in the field and then propose the design and development of
a new application that facilitates pedestrian point of view research. We
conduct a three-step user experience experiment where participants answer
questions before and after using the application in various scenarios.
Behavioral results in virtuality, especially when there were consequences, tend
to simulate real life sufficiently well to make design choices, and we received
valuable insights into human/vehicle interaction. Our tool seemed to start
raising participant awareness of autonomous vehicles and their capabilities and
limitations, which is an important step in overcoming public distrust of AVs.
Further, studying how users respect or take advantage of AVs may help inform
future operating mode indicator design as well as algorithm biases that might
support socially-optimal AV operation.
