3 papers
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.CV2025
Large Language Model-Guided Semantic Alignment for Human Activity Recognition
Hua Yan, Heng Tan, Yi Ding +3
Human Activity Recognition (HAR) using Inertial Measurement Unit (IMU) sensors is critical for applications in healthcare, safety, and industrial production. However, variations in…
cs.HC2025
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…