Game and Simulation Design for Studying Pedestrian-Automated Vehicle Interactions

TL;DR

This research develops a virtual environment tool to study pedestrian interactions with autonomous vehicles, providing insights into human behavior and perceptions to improve AV design and public trust.

Contribution

It introduces a new virtual application for pedestrian-AV interaction research and demonstrates its effectiveness in capturing realistic behaviors and perceptions.

Findings

Virtual scenarios simulate real-life pedestrian behavior effectively.

Participants' awareness of AV capabilities increased after using the tool.

Insights gained can inform future AV design and communication strategies.

Abstract

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.