activity
20122026
most citedMental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data

215 citations · 360 across the 16 of their papers we have counts for

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Showing cs.HCShow all

9 papers · 1 filter

cs.HC2026

PocketPPD: Screening for Postpartum Depression Risk Using Passive Smartphone Sensing

Jia Tang, Helinyi Peng, Akihito Taya +4

Postpartum depression (PPD) is a serious perinatal mental health condition affecting approximately 20% of new mothers worldwide. Common screening approaches for PPD, such as self-r…

cs.HC2025

Towards Human-Centered Early Prediction Models for Academic Performance in Real-World Contexts

Han Zhang, Yiyi Ren, Paula S. Nurius +2

Supporting student success requires collaboration among multiple stakeholders. Researchers have explored machine learning models for academic performance prediction; yet key challe…

cs.HC2024

Illuminating the Unseen: Investigating the Context-induced Harms in Behavioral Sensing

Han Zhang, Vedant Das Swain, Leijie Wang +7

Behavioral sensing technologies are rapidly evolving across a range of well-being applications. Despite its potential, concerns about the responsible use of such technology are esc…

cs.HC2024★ 50 cited

Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention

Adiba Orzikulova, Han Xiao, Zhipeng Li +7

Despite a rich history of investigating smartphone overuse intervention techniques, AI-based just-in-time adaptive intervention (JITAI) methods for overuse reduction are lacking. W…

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.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★ 1 cited

Examining Needs and Opportunities for Supporting Students Who Experience Discrimination

Yasaman S. Sefidgar, Paula S. Nurius, Amanda Baughan +5

Perceived discrimination is common and consequential. Yet, little support is available to ease handling of these experiences. Addressing this gap, we report on a need-finding study…

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.HC2016★ 4 cited

Keyboard Surface Interaction: Making the keyboard into a pointing device

Julian Ramos, Zhen Li, Johana Rosas +3

Pointing devices that reside on the keyboard can reduce the overall time needed to perform mixed pointing and typing tasks, since the hand of the user does not have to reach for th…