2 papers
cs.HC2025
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…
cs.HC2024
LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing
Bryan Wang, Yuliang Li, Zhaoyang Lv +3
Video creation has become increasingly popular, yet the expertise and effort required for editing often pose barriers to beginners. In this paper, we explore the integration of lar…