1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.AI2026
Vision: "What Don't I Know About User's Preferences?" How Uncertainty Estimation Improves Proactive Assistant Alignment
Zhiyu An, Ziyi Xuan, Yu Yang +1
Proactive Smart Assistants (PSAs) increasingly use general knowledge, learned patterns from group-level data, patterns from individual user's data, and recent sensor observations t…
cs.HC2026
After Talking with 1,000 Personas: Learning Preference-Aligned Proactive Assistants From Large-Scale Persona Interactions
Ziyi Xuan, Yiwen Wu, Zhaoyang Yan +2
Smart assistants increasingly act proactively, yet mistimed or intrusive behavior often causes users to lose trust and disable these features. Learning user preferences for proacti…
cs.HC2025★ 1 cited
Design and Evaluation of Generative Agent-based Platform for Human-Assistant Interaction Research: A Tale of 10 User Studies
Ziyi Xuan, Yiwen Wu, Xuhai Xu +3
Designing and evaluating personalized and proactive assistant agents remains challenging due to the time, cost, and ethical concerns associated with human-in-the-loop experimentati…