1 citations · 1 across the 7 of their papers we have counts for
8 papers
TraceMind: Predicting User Information Uptake from Low-Cost Interaction Traces during Human-LLM Content Co-Generation
Yu Mei, Fengyou Zu, Ruiwen Zhang +5
In human-LLM content co-generation, AI-generated information can enter final artifacts without being adequately processed by users, creating risks when artifacts are shared or acte…
U-Lens: Supporting User Uncertainty Management in Long-Form LLM Responses
Yu Mei, Qingyue Zhuang, Jie Cai +5
Uncertainty can appear throughout LLM-generated text (e.g., questionable claims, ambiguous terms). Prior work largely focuses on making such uncertainty visible through cues such a…
PAGE: Towards Practical Human-level Gaze Target Estimation
Zhoutong Ye, Chengwen Zhang, Zhaibin Cui +10
Gaze target estimation, the task of predicting where a person is looking in a scene, is crucial to understanding human attention and intent. It is a challenging task that combines…
PAPEL: A Collaborative System for Parental Guidance during Preschool Play-Based English Learning
Xutong Wang, Yu Mei, Qinwei Li +7
Play-based parent-child interaction offers preschoolers rich opportunities for everyday foreign language learning, yet many parents struggle to turn open-ended play into effective…
Adapting AI to the Moment: Understanding the Dynamics of Parent-AI Collaboration Modes in Real-Time Conversations with Children
Yu Mei, Ziyao Zhang, Qingyang Wan +5
Parent-AI collaboration to support real-time conversations with children is challenging due to the sensitivity and open-ended nature of such interactions. Existing systems often si…
HiSync: Spatio-Temporally Aligning Hand Motion from Wearable IMU and On-Robot Camera for Command Source Identification in Long-Range HRI
Chengwen Zhang, Chun Yu, Borong Zhuang +9
Long-range Human-Robot Interaction (HRI) remains underexplored. Within it, Command Source Identification (CSI) - determining who issued a command - is especially challenging due to…
PACEE: Parent-Centered AI Scaffolding for Emotion Education in Early Childhood Conversations
Yu Mei, Xutong Wang, Ziyao Zhang +8
Emotion education is critical for children aged 3 to 6. However, existing technologies largely focus on children's direct interaction with AI, overlooking the central role of paren…
AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning
Zhong Zhang, Yaxi Lu, Yikun Fu +22
The recent progress of large language model agents has opened new possibilities for automating tasks through graphical user interfaces (GUIs), especially in mobile environments whe…