83 citations · 96 across the 11 of their papers we have counts for
11 papers
Invisible Impact of Empathy on Behavioral Change: Isolating the Effect of Empathy in Long-term Physical Activity Coaching Chatbot Interactions
Li Siyan, Kai-Hui Liang, Shopnil Shahriar +7
Current dialogue systems, powered by large language models, often treat empathy as essential without assessing its true impact, especially in behavior change, where motivation and…
Deco: Extending Cherished Physical Objects into AI Companion Agents through Dual Embodiment
Zhihan Jiang, Mengyuan Millie Wu, Ruishi Zou +14
Physical objects (e.g., plush toys) can transcend materiality to become emotional anchors and provide companionship. However, these bonds remain one-sided because most physical obj…
Rethinking Health Agents: From Siloed AI to Collaborative Decision Mediators
Ray-Yuan Chung, Xuhai Xu, Ari Pollack
Large language model based health agents are increasingly used by health consumers and clinicians to interpret health information and guide health decisions. However, most AI syste…
More than Decision Support: Exploring Patients' Longitudinal Usage of Large Language Models in Real-World Healthcare-Seeking Journeys
Yancheng Cao, Yishu Ji, Chris Yue Fu +6
Large language models (LLMs) have been increasingly adopted to support patients' healthcare-seeking in recent years. While prior patient-centered studies have examined the capabili…
More Modality, More AI: Exploring Design Opportunities of AI-Based Multi-modal Remote Monitoring Technologies for Early Detection of Mental Health Sequelae in Youth Concussion Patients
Bingsheng Yao, Menglin Zhao, Yuling Sun +7
Anxiety, depression, and suicidality are common mental health sequelae following concussion in youth patients, often exacerbating concussion symptoms and prolonging recovery. Despi…
WatchGuardian: Enabling User-Defined Personalized Just-in-Time Intervention on Smartwatch
Ying Lei, Yancheng Cao, Will Wang +13
While just-in-time interventions (JITIs) have effectively targeted common health behaviors, individuals often have unique needs to intervene in personal undesirable actions that ca…
Vital Insight: Assisting Experts' Context-Driven Sensemaking of Multi-modal Personal Tracking Data Using Visualization and Human-In-The-Loop LLM
Jiachen Li, Xiwen Li, Justin Steinberg +6
Passive tracking methods, such as phone and wearable sensing, have become dominant in monitoring human behaviors in modern ubiquitous computing studies. While there have been signi…
Bridging Knowledge Gaps in Clinical AI: An Activity Theory Perspective on Interdisciplinary Data Work for Telehealth
Bingsheng Yao, Yao Du, Yue Fu +4
Advanced AI technologies are increasingly integrated into clinical domains to advance patient care. The design and development of clinical AI technologies necessitate seamless coll…
"I Wish There Were an AI": Challenges and AI Potential in Cancer Patient-Provider Communication
Ziqi Yang, Xuhai Xu, Bingsheng Yao +4
Patient-provider communication has been crucial to cancer patients' survival after their cancer treatments. However, the research community and patients themselves often overlook t…
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis
Shao Zhang, Jianing Yu, Xuhai Xu +8
Today's AI systems for medical decision support often succeed on benchmark datasets in research papers but fail in real-world deployment. This work focuses on the decision making o…
Talk2Care: Facilitating Asynchronous Patient-Provider Communication with Large-Language-Model
Ziqi Yang, Xuhai Xu, Bingsheng Yao +6
Despite the plethora of telehealth applications to assist home-based older adults and healthcare providers, basic messaging and phone calls are still the most common communication…