Perceptions of the Helpfulness of Unexpected Agent Assistance. - Kate Candon; Zoe Hsu; Yoony Kim; Jesse Chen; Nathan Tsoi; Marynel Vázquez (HAI, 2022)

Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers. - Nathan Tsoi; Kate Candon; Deyuan Li; Yofti Milkessa; Marynel Vázquez (NeurIPS, 2022)

Towards Creating Better Interactive Agents: Leveraging Both Implicit and Explicit Human Feedback. - Kate Candon (AAMAS, 2023)

Nonverbal Human Signals Can Help Autonomous Agents Infer Human Preferences for Their Behavior. - Kate Candon; Jesse Chen; Yoony Kim; Zoe Hsu; Nathan Tsoi; Marynel Vázquez (AAMAS, 2023)

Interactive Policy Shaping for Human-Robot Collaboration with Transparent Matrix Overlays. - Jake Brawer; Debasmita Ghose; Kate Candon; Meiying Qin; Alessandro Roncone; Marynel Vázquez; Brian Scassellati (HRI, 2023)

Verbally Soliciting Human Feedback in Continuous Human-Robot Collaboration: Effects of the Framing and Timing of Reminders. - Kate Candon; Helen Zhou; Sarah Gillet; Marynel Vázquez (HRI, 2023)

Self-Annotation Methods for Aligning Implicit and Explicit Human Feedback in Human-Robot Interaction. - Qiping Zhang; Austin Narcomey; Kate Candon; Marynel Vázquez (HRI, 2023)

Leveraging Implicit Human Feedback to Better Learn from Explicit Human Feedback in Human-Robot Interactions. - Kate Candon (HRI (Companion), 2024)

REACT: Two Datasets for Analyzing Both Human Reactions and Evaluative Feedback to Robots Over Time. - Kate Candon; Nicholas C. Georgiou; Helen Zhou; Sidney Richardson; Qiping Zhang; Brian Scassellati; Marynel Vázquez (HRI, 2024)

Multiplayer Space Invaders: A Platform for Studying Evolving Fairness Perceptions in Human-Robot Interaction. - Houston Claure; Kate Candon; Olivia Clark; Marynel Vázquez (HRI (Companion), 2024)

Dynamic Fairness Perceptions in Human-Robot Interaction. - Houston Claure; Kate Candon; Inyoung Shin; Marynel Vázquez (CoRR, 2024)

Towards Better Robot Learners: Leveraging Implicit and Explicit Human Feedback Together in Human Robot Interactions. - Kate Candon (AAAI, 2025)

Artificial Intelligence for Future Presidents: Teaching AI Literacy to Everyone. - Kate Candon; Nicholas C. Georgiou; Rebecca Ramnauth; Jessie Cheung; E. Chandra Fincke; Brian Scassellati (AAAI, 2025)