Our paper Building Second-Order Mental Models for Human-Robot Interaction was accepted for publication at the 2019 AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction. You can find a pre-print of our paper here.
In this paper, we surveyed existing methods for modeling how humans view robots, then identified a potential method for improving these estimates through inferring a human’s model of a robot agent directly from their actions. Then, we conducted an online study to collect data in a grid-world environment involving humans moving an avatar past a virtual agent. Through our analysis, we demonstrated that participants’ action choices leaked information about their mental models of a virtual agent. We will present this work in Arlington, VA in November 2019.