activity
20172023
most citedMental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data

215 citations · 532 across the 12 of their papers we have counts for

collaborators

12 papers

cs.HC2023★ 73 cited

An Autoethnographic Case Study of Generative Artificial Intelligence's Utility for Accessibility

Kate S Glazko, Momona Yamagami, Aashaka Desai +4

With the recent rapid rise in Generative Artificial Intelligence (GAI) tools, it is imperative that we understand their impact on people with disabilities, both positive and negati…

cs.HC2023★ 8 cited

A Framework for Designing Fair Ubiquitous Computing Systems

Han Zhang, Leijie Wang, Yilun Sheng +3

Over the past few decades, ubiquitous sensors and systems have been an integral part of humans' everyday life. They augment human capabilities and provide personalized experiences…

cs.CL2023★ 215 cited

Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data

Xuhai Xu, Bingsheng Yao, Yuanzhe Dong +6

Advances in large language models (LLMs) have empowered a variety of applications. However, there is still a significant gap in research when it comes to understanding and enhancin…

cs.HC2023★ 74 cited

XAIR: A Framework of Explainable AI in Augmented Reality

Xuhai Xu, Mengjie Yu, Tanya R. Jonker +15

Explainable AI (XAI) has established itself as an important component of AI-driven interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives, the rol…

cs.HC2023

Modeling the Trade-off of Privacy Preservation and Activity Recognition on Low-Resolution Images

Yuntao Wang, Zirui Cheng, Xin Yi +7

A computer vision system using low-resolution image sensors can provide intelligent services (e.g., activity recognition) but preserve unnecessary visual privacy information from t…

cs.LG2022★ 14 cited

GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization

Xuhai Xu, Han Zhang, Yasaman Sefidgar +13

Recent research has demonstrated the capability of behavior signals captured by smartphones and wearables for longitudinal behavior modeling. However, there is a lack of a comprehe…

cs.HC2022★ 81 cited

Enabling hand gesture customization on wrist-worn devices

Xuhai Xu, Jun Gong, Carolina Brum +13

We present a framework for gesture customization requiring minimal examples from users, all without degrading the performance of existing gesture sets. To achieve this, we first de…

cs.HC2022

A Survey of Passive Sensing for Workplace Wellbeing and Productivity

Subigya K. Nepal, Gonzalo J. Martinez, Arvind Pillai +9

The modern workplace is undergoing a radical transformation, driven by technological advances that blur the boundaries between human capability and digital augmentation. At the for…

cs.HC2021

Understanding the Design Space of Mouth Microgestures

Victor Chen, Xuhai Xu, Richard Li +3

As wearable devices move toward the face (i.e. smart earbuds, glasses), there is an increasing need to facilitate intuitive interactions with these devices. Current sensing techniq…

cs.CV2020★ 11 cited

MetaPhys: Few-Shot Adaptation for Non-Contact Physiological Measurement

Xin Liu, Ziheng Jiang, Josh Fromm +3

There are large individual differences in physiological processes, making designing personalized health sensing algorithms challenging. Existing machine learning systems struggle t…

cs.HC2020★ 56 cited

How Does COVID-19 impact Students with Disabilities/Health Concerns?

Han Zhang, Paula Nurius, Yasaman Sefidgar +8

The impact of COVID-19 on students has been enormous, with an increase in worries about fiscal and physical health, a rapid shift to online learning, and increased isolation. In ad…

cs.HC2017

Statistical Verification of Computational Rapport Model

Xuhai Xu, Justine Cassell

Rapport plays an important role during communication because it can help people understand each other's feelings or ideas and leads to a smooth communication. Computational rapport…