As robots interact with people, people form opinions of the robots' capabilities. In this project, we are interested in interpreting people'sÌýmovements and actions as passive communication about what theyÌýthinkÌýaboutÌýthe robots they are interacting with, so that robots can understand what people think of it. TheÌýinformation can be used to help withÌýbuilding trust and improving teamwork.Ìý
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Publications
- Connor Brooks andÌýDaniel Szafir. 2019. Building Second-Order Mental Models for Human-Robot Interaction. InÌýProceedings of the Association for the Advancement of Artificial IntelligenceÌýFall Symposium SeriesÌý(AI-HRI '19),ÌýArXiv preprint arXiv:1909.06508.
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