Kate Candon

schoolYale Universitybar_chart#5579 Global Rank

Total Papers

HCI Rank

#5579

Research Areas

Years Active

Recent Publications

Interactive Policy Shaping for Human-Robot Collaboration with Transparent Matrix Overlays

One important aspect of effective human--robot collaborations is the ability for robots to adapt quickly to the needs of humans. While techniques like deep reinforcement learning have demonstrated success as sophisticated tools for learning robot policies, the fluency of human-robot collaborations is often limited by…

HRI '231st AuthorHuman-Robot Collaboration (HRC)

Verbally Soliciting Human Feedback in Continuous Human-Robot Collaboration: Effects of the Framing and Timing of Reminders

Humans expect robots to learn from their feedback and adapt to their preferences. However, there are limitations with how humans provide feedback to robots, e.g., humans may give less feedback as interactions progress. Therefore, it would be advantageous if robots could influence humans to provide more feedback during…

HRI '233rd AuthorUser Research Methods (Interviews, Surveys, Observation) +1

Self-Annotation Methods for Aligning Implicit and Explicit Human Feedback in Human-Robot Interaction

Recent research in robot learning suggests that implicit human feedback is a low-cost approach to improving robot behavior without the typical teaching burden on users. Because implicit feedback can be difficult to interpret, though, we study different methods to collect fine-grained labels from users about robot perf…

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