7 citations · 11 across the 6 of their papers we have counts for
6 papers
"It's like a pet...but my pet doesn't collect data about me": Multi-person Households' Privacy Design Preferences for Household Robots
Jennica Li, Shirley Zhang, Dakota Sullivan +4
Household robots boasting mobility, more sophisticated sensors, and powerful processing models have become increasingly prevalent in the commercial market. However, these features…
Elements of Robot Morphology: Supporting Designers in Robot Form Exploration
Amy Koike, Serena Ge Guo, Xinning He +3
Robot morphology, the form, shape, and structure of robots, is a key design space in human-robot interaction (HRI), shaping how robots function, express themselves, and interact wi…
Benchmarking LLM Privacy Recognition for Social Robot Decision Making
Dakota Sullivan, Shirley Zhang, Jennica Li +3
While robots have previously utilized rule-based systems or probabilistic models for user interaction, the rapid evolution of large language models (LLMs) presents new opportunitie…
Exploring Families' Use and Mediation of Generative AI: A Multi-User Perspective
Shirley Zhang, Dakota Sullivan, Jennica Li +4
Generative AI (GenAI) platforms, such as ChatGPT, have gained popularity among the public due to their ease of access, use, and support of educational and creative activities. Desp…
Making Informed Decisions: Supporting Cobot Integration Considering Business and Worker Preferences
Dakota Sullivan, Nathan Thomas White, Andrew Schoen +1
Robots are ubiquitous in small-to-large-scale manufacturers. While collaborative robots (cobots) have significant potential in these settings due to their flexibility and ease of u…
CONFIDANT: A Privacy Controller for Social Robots
Brian Tang, Dakota Sullivan, Bengisu Cagiltay +3
As social robots become increasingly prevalent in day-to-day environments, they will participate in conversations and appropriately manage the information shared with them. However…