Publications

The most up-to-date list of publications can be found on my Google Scholar.

Peer-Reviewed Full Conference Papers

Artificial Intelligence for Future Presidents: Teaching AI Literacy to Everyone.
Kate Candon, Nicholas C. Georgiou, Rebecca Ramnauth, Jessie Cheung, E. Chandra Fincke, and Brian Scassellati.
For Symposium on Educational Advances in Artificial Intelligence (EAAI) in Proceedings of the AAAI Conference on Artificial Intelligence, Feb 2025.
[PDF]

Nonverbal Human Signals Can Help Autonomous Agents Infer Human Preferences for Their Behavior.
Kate Candon, Jesse Chen, Yoony Kim, Zoe Hsu, Nathan Tsoi, and Marynel Vázquez.
In Proceedings of the 22nd International Conference on Autonomous Agents and Multi-Agnent Systems (AAMAS), May 2023.
[PDF]

Verbally Soliciting Human Feedback in Continuous Human-Robot Collaboration: Effects of the Framing and Timing of Reminders.
Kate Candon, Helen Zhou, Sarah Gillet, and Marynel Vázquez.
In Proceedings of the 2023 ACM/IEEE International Conference on Human- Robot Interaction (HRI), March 2023.
[PDF]

Self-Annotation Methods for Aligning Implicit and Explicit Human Feedback in Human-Robot Interaction.
Qiping Zhang, Austin Narcomey, Kate Candon, and Marynel Vázquez.
In Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI), March 2023.
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Interactive Policy Shaping for Human-Robot Collaboration with Transparent Matrix Overlays.
Jake Brawer, Debasmita Ghose, Kate Candon, Meiying Qin, Alessandro Roncone, Marynel Vázquez, and Brian Scassellati.
In Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI), March 2023. Best Technical Paper Award.
[PDF]

Perceptions of the Helpfulness of Unexpected Agent Assistance.
Kate Candon, Zoe Hsu, Yoony Kim, Jesse Chen, Nathan Tsoi, and Marynel Vázquez.
In Proceedings of the 10th International Conference on Human-Agent Interaction (HAI), December 2022.
[PDF]

Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers.
Nathan Tsoi, Kate Candon, Deyuan Li, Yofti Milkessa, and Marynel Vázquez.
In Advances in Neural Information Processing Systems (NeurIPS), November 2022.
[PDF]

Peer-Reviewed Short Conference Papers

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, and Marynel Vázquez.
In Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI), March 2024.
[PDF]

Peer-Reviewed Late Breaking Reports

Multiplayer Space Invaders: A Platform for Studying Evolving Fairness Perceptions in Human-Robot Interaction.
Houston Claure, Kate Candon, Olivia Clark, and Marynel Vázquez.
In Companion of the 2024 ACM/IEEE International Conference on Human- Robot Interaction (HRI Companion), March 2024.
[PDF]

Peer-Reviewed Workshop Papers

Towards Better Robot Learners: Leveraging Implicit and Explicit Human Feedback Together in Human Robot Interactions.
Kate Candon.
In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, no. 28, February 2025. AAAI Doctoral Consortium.
[PDF]

Leveraging Implicit Human Feedback to Beter Learn from Explicit Human Feedback in Human-Robot Interactions.
Kate Candon.
In Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI ‘24), March 2022. HRI Pioneers Workshop.
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Towards Creating Better Interactive Agents: Leveraging Both Implicit and Explicit Human Feedback.
Kate Candon.
In Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, March 2022. AAMAS Doctoral Consortium.
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Context^2: On the importance of the context of context in human robot interaction.
Kate Candon and Marynel Vázquez.
In HRI workshop on Context-Awareness in Human-Robot Interaction, March 2022.
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