59 citations · 113 across the 6 of their papers we have counts for
6 papers
EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks
Lulin Liu, Dayou Li, Yiqing Liang +8
Large foundation models have made significant advances in embodied intelligence, enabling synthesis and reasoning over egocentric input for household tasks. However, VLM-based auto…
An AI Co-Data-Scientist for Prioritizing Candidate Biomarkers from Wearable Sensor Data
Yubin Kim, Salman Rahman, Samuel Schmidgall +33
Wearable devices generate continuous physiological and behavioral data, but converting these signals into clinically reviewable biomarker hypotheses remains labor-intensive. We int…
MindfulAgents: Personalizing Mindfulness Meditation via an Expert-Aligned Multi-Agent System
Mengyuan Millie Wu, Zhihan Jiang, Yuang Fan +9
Mindfulness meditation is a widely accessible and evidence-based method for supporting mental health. Despite the proliferation of mindfulness meditation apps, sustaining user enga…
What Social Media Use Do People Regret? An Analysis of 34K Smartphone Screenshots with Multimodal LLM
Longjie Guo, Yue Fu, Xiran Lin +3
Smartphone users often regret aspects of their phone use, especially social media use. However, pinpointing specific ways in which the design of an interface contributes to regrett…
From Text to Self: Users' Perceptions of Potential of AI on Interpersonal Communication and Self
Yue Fu, Sami Foell, Xuhai Xu +1
In the rapidly evolving landscape of AI-mediated communication (AIMC), tools powered by Large Language Models (LLMs) are becoming integral to interpersonal communication. Employing…
MindShift: Leveraging Large Language Models for Mental-States-Based Problematic Smartphone Use Intervention
Ruolan Wu, Chun Yu, Xiaole Pan +9
Problematic smartphone use negatively affects physical and mental health. Despite the wide range of prior research, existing persuasive techniques are not flexible enough to provid…