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Rethinking the Implications of Human Feedback for Preference Learning in Human-Robot Collaboration
Qiping Zhang, Kate Candon, Debasmita Ghose +1
In Human-Robot Interaction, the standard approach to learn a reward model that represents human preferences for robot behavior consists of three steps. First, the robot collects li…
The Social Context of Human-Robot Interactions
Sydney Thompson, Kate Candon, Marynel Vázquez
The Human-Robot Interaction (HRI) community often highlights the social context of an interaction as a key consideration when designing, implementing, and evaluating robot behavior…
Dynamic Fairness Perceptions in Human-Robot Interaction
Houston Claure, Kate Candon, Inyoung Shin +1
People deeply care about how fairly they are treated by robots. The established paradigm for probing fairness in Human-Robot Interaction (HRI) involves measuring the perception of…
REACT: Two Datasets for Analyzing Both Human Reactions and Evaluative Feedback to Robots Over Time
Kate Candon, Nicholas C. Georgiou, Helen Zhou +4
Recent work in Human-Robot Interaction (HRI) has shown that robots can leverage implicit communicative signals from users to understand how they are being perceived during interact…