7 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.HC2024★ 7 cited
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…
cs.HC2024★ 1 cited
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…
cs.HC2024★ 2 cited
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…