30 citations · 62 across the 7 of their papers we have counts for
4 papers · 2 filters
LOOM: Personalized Learning Informed by Daily LLM Conversations Toward Long-Term Mastery via a Dynamic Learner Memory Graph
Justin Cui, Kevin Pu, Tovi Grossman
Foundation models are increasingly used to personalize learning, yet many systems still assume fixed curricula or coarse progress signals, limiting alignment with learners' day-to-…
StoryEnsemble: Enabling Dynamic Exploration & Iteration in the Design Process with AI and Forward-Backward Propagation
Sangho Suh, Michael Lai, Kevin Pu +2
Design processes involve exploration, iteration, and movement across interconnected stages such as persona creation, problem framing, solution ideation, and prototyping. However, t…
ProMemAssist: Exploring Timely Proactive Assistance Through Working Memory Modeling in Multi-Modal Wearable Devices
Kevin Pu, Ting Zhang, Naveen Sendhilnathan +3
Wearable AI systems aim to provide timely assistance in daily life, but existing approaches often rely on user initiation or predefined task knowledge, neglecting users' current me…
Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support
Kevin Pu, Daniel Lazaro, Ian Arawjo +4
AI programming tools enable powerful code generation, and recent prototypes attempt to reduce user effort with proactive AI agents, but their impact on programming workflows remain…