73 citations · 123 across the 9 of their papers we have counts for
9 papers
Sources of Inequity and Fairness Risks in Wellbeing Sensing
Han Zhang, Vedant Das Swain, Koustuv Saha +2
Passive sensing for wellbeing uses smartphones and wearables to continuously collect human behavioral data and applies ML/AI models to infer psychological states and behaviors (e.g…
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…
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…
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…
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…
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…
The Global Care Ecosystems of 3D Printed Assistive Devices
Saiph Savage, Claudia Flores-Saviaga, Rachel Rodney +3
The popularity of 3D printed assistive technology has led to the emergence of new ecosystems of care, where multiple stakeholders (makers, clinicians, and recipients with disabilit…
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…
Understanding health and behavioral trends of successful students through machine learning models
Abigale Kim, Fateme Nikseresht, Janine M. Dutcher +8
This study analyzes patterns of physical, mental, lifestyle, and personality factors in college students in different periods over the course of a semester and models their relatio…