7 citations · 10 across the 8 of their papers we have counts for
5 papers · 1 filter
AWARE Narrator and the Utilization of Large Language Models to Extract Behavioral Insights from Smartphone Sensing Data
Tianyi Zhang, Miu Kojima, Simon D'Alfonso
Smartphones, equipped with an array of sensors, have become valuable tools for personal sensing. Particularly in digital health, smartphones facilitate the tracking of health-relat…
AutoJournaling: A Context-Aware Journaling System Leveraging MLLMs on Smartphone Screenshots
Tianyi Zhang, Shiquan Zhang, Le Fang +3
Journaling offers significant benefits, including fostering self-reflection, enhancing writing skills, and aiding in mood monitoring. However, many people abandon the practice beca…
Predicting Affective States from Screen Text Sentiment
Songyan Teng, Tianyi Zhang, Simon D'Alfonso +1
The proliferation of mobile sensing technologies has enabled the study of various physiological and behavioural phenomena through unobtrusive data collection from smartphone sensor…
Enabling On-Device LLMs Personalization with Smartphone Sensing
Shiquan Zhang, Ying Ma, Le Fang +3
This demo presents a novel end-to-end framework that combines on-device large language models (LLMs) with smartphone sensing technologies to achieve context-aware and personalized…
Leveraging LLMs to Predict Affective States via Smartphone Sensor Features
Tianyi Zhang, Songyan Teng, Hong Jia +1
As mental health issues for young adults present a pressing public health concern, daily digital mood monitoring for early detection has become an important prospect. An active res…