3 papers
cs.HC2026
Do LLMs Need to See Everything? A Benchmark and Study of Failures in LLM-driven Smartphone Automation using Screentext vs. Screenshots
Shiquan Zhang, Tianyi Zhang, Le Fang +3
With the rapid advancement of large language models (LLMs), mobile agents have emerged as promising tools for phone automation, simulating human interactions on screens to accompli…
cs.AI2025
Menta: A Small Language Model for On-Device Mental Health Prediction
Tianyi Zhang, Xiangyuan Xue, Lingyan Ruan +6
Mental health conditions affect hundreds of millions globally, yet early detection remains limited. While large language models (LLMs) have shown promise in mental health applicati…
cs.HC2025
Behavioral Indicators of Loneliness: Predicting University Students' Loneliness Scores from Smartphone Sensing Data
Qianjie Wu, Tianyi Zhang, Hong Jia +1
Loneliness is a critical mental health issue among university students, yet traditional monitoring methods rely primarily on retrospective self-reports and often lack real-time beh…