Dakota Sullivan

Orcid: 0000-0002-4901-6375

According to our database1, Dakota Sullivan authored at least 11 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
"It's like a pet...but my pet doesn't collect data about me": Multi-person Households' Privacy Design Preferences for Household Robots.
CoRR, February, 2026

Robot Primals: Exploring World Beliefs as a Source for Robot Behavior Design.
ACM Trans. Hum. Robot Interact., January, 2026

Examining the Effectiveness of Obfuscatory Planning Strategies through Human Observation.
Proceedings of the Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction, 2026

Elements of Robot Morphology: Supporting Designers in Robot Form Exploration.
Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction, 2026

2025
Benchmarking LLM Privacy Recognition for Social Robot Decision Making.
CoRR, July, 2025

Exploring Families' Use and Mediation of Generative AI: A Multi-User Perspective.
CoRR, April, 2025

Protecting User Data Through Privacy-Sensitive Robot Design.
Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction, 2025

2024
Making Informed Decisions: Supporting Cobot Integration Considering Business and Worker Preferences.
Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023
Lively: Enabling Multimodal, Lifelike, and Extensible Real-time Robot Motion.
Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

Demonstrating the Potential of Interactive Product Packaging for Enriching Human-Robot Interaction.
Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

2022
CONFIDANT: A Privacy Controller for Social Robots.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022


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