Accepted Papers
Ferran Gebellí Guinjoan, Raquel Ros and Anaís Garrell Zulueta, Participatory Design for Explainable Robots
Deanna Flynn, Shipeng Liu, Feifei Qian and Cristina G. Wilson, Explicable and Explainable Robot Sampling Suggestions: A Field Demonstration with an Expert Geoscientist
Aaquib Tabrez, Matthew Luebbers, Kyler Ruvane, Ashley Rabin, Kevin King, William Gerichs and Bradley Hayes, Hierarchical Multi-Agent Reinforcement Learning with Explainable Decision Support for Human-Robot Teams
Benjamin Kraske, Zakariya Laouar and Zachary Sunberg, Leveraging Counterfactual Paths for Contrastive Explanations of POMDP Policies
Suresh Kumaar Jayaraman, Reid Simmons, Aaron Steinfeld and Henny Admoni, Modeling Human Learning of Demonstration-Based Explanations for User-Centric Explainable AI