143 citations · 201 across the 8 of their papers we have counts for
8 papers
LearnMate^2: Design and Evaluation of an LLM-powered Personalized and Adaptive Support System for Online Learning
Xinyu Jessica Wang, Christine P. Lee, Bilge Mutlu
Personalization is crucial for effective learning, yet online learning, designed for widespread availability and open access, lacks personalized guidance. Recent advancements in la…
U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning
Christine P Lee, Xinyu Jessica Wang, Aws Albarghouthi +2
LLMs are increasingly used for end-user task planning, yet their black-box nature limits users' ability to ensure reliability and control. While recent systems incorporate verifica…
Bridging Generations using AI-Supported Co-Creative Activities
Callie Y. Kim, Arissa J. Sato, Nathan Thomas White +4
Intergenerational co-creation using technology between grandparents and grandchildren can be challenging due to differences in technological familiarity. AI has emerged as a promis…
The AI-DEC: A Card-based Design Method for User-centered AI Explanations
Christine P Lee, Min Kyung Lee, Bilge Mutlu
Increasing evidence suggests that many deployed AI systems do not sufficiently support end-user interaction and information needs. Engaging end-users in the design of these systems…
REX: Designing User-centered Repair and Explanations to Address Robot Failures
Christine P Lee, Pragathi Praveena, Bilge Mutlu
Robots in real-world environments continuously engage with multiple users and encounter changes that lead to unexpected conflicts in fulfilling user requests. Recent technical adva…
Design, Development, and Deployment of Context-Adaptive AI Systems for Enhanced End-User Adoption
Christine P Lee
My research centers on the development of context-adaptive AI systems to improve end-user adoption through the integration of technical methods. I deploy these AI systems across va…
Understanding Large-Language Model (LLM)-powered Human-Robot Interaction
Callie Y. Kim, Christine P. Lee, Bilge Mutlu
Large-language models (LLMs) hold significant promise in improving human-robot interaction, offering advanced conversational skills and versatility in managing diverse, open-ended…
The Unboxing Experience: Exploration and Design of Initial Interactions Between Children and Social Robots
Christine P Lee, Bengisu Cagiltay, Bilge Mutlu
Social robots are increasingly introduced into children's lives as educational and social companions, yet little is known about how these products might best be introduced to their…