215 citations · 360 across the 16 of their papers we have counts for
17 papers
Right Words, Wrong Moment: A Clinician-Grounded Analysis of Distress in 19,930 Conversations between Young People and ChatGPT
Marx Wang, Ella Zhang, Cameron Tan +11
Young people increasingly turn to General-Purpose Conversational Agents (GPCAs), such as ChatGPT, in moments of distress. We examine young adults' (ages 18-25) experiences using Ch…
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…
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…
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…
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…
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…
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…
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…
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…
Can Smartphone Co-locations Detect Friendship? It Depends How You Model It
Momin M. Malik, Afsaneh Doryab, Michael Merrill +2
We present a study to detect friendship, its strength, and its change from smartphone location data collectedamong members of a fraternity. We extract a rich set of co-location fea…
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…
Extraction of Behavioral Features from Smartphone and Wearable Data
Afsaneh Doryab, Prerna Chikarsel, Xinwen Liu +1
The rich set of sensors in smartphones and wearable devices provides the possibility to passively collect streams of data in the wild. The raw data streams, however, can rarely be…
A Systematic Approach for Exploring Tradeoffs in Predictive HVAC Control Systems for Buildings
Joshua Gluck, Christian Koehler, Jennifer Mankoff +2
Heating, Ventilation, and Cooling (HVAC) systems are often the most significant contributor to the energy usage, and the operational cost, of large office buildings. Therefore, to…
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…
Learning Selectively Conditioned Forest Structures with Applications to DBNs and Classification
Brian D. Ziebart, Anind K. Dey, J Andrew Bagnell
Dealing with uncertainty in Bayesian Network structures using maximum a posteriori (MAP) estimation or Bayesian Model Averaging (BMA) is often intractable due to the superexponenti…