As robots interact with people, people form opinions of the robots' capabilities. In this project, we are interested in interpreting people'sÌımovements and actions as passive communication about what theyÌıthinkÌıaboutÌıthe robots they are interacting with, so that robots can understand what people think of it. TheÌıinformation can be used to help withÌıbuilding trust and improving teamwork.Ìı
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Publications
- Connor Brooks andÌıDaniel Szafir. 2019. Building Second-Order Mental Models for Human-Robot Interaction. InÌıProceedings of the Association for the Advancement of Artificial IntelligenceÌıFall Symposium SeriesÌı(AI-HRI '19),ÌıArXiv preprint arXiv:1909.06508.
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