Research
Technology for Wellbeing
Designing and evaluating technologies that support the physical and mental wellbeing of individuals and families.
Intervention for Digital Wellbeing
Exploring self-control technologies that help people stay in charge of their own screen time. With a focus on infinite scrolling environments like short-form video, we investigate how to preserve human autonomy and prevent mindless scrolling through thoughtful technical interventions.
Flexible Tools for Clinical Care
Discontinuing psychiatric medication is a complex, long-term process that requires careful coordination between clinicians and patients. This research explores how flexible digital tools can support clinicians in planning and adjusting personalized tapering regimens over time.
Flexible Digital Tool for Psychiatric Drug Discontinuation
ACM CHI 2022
Supporting Families of Autistic Children
Caregivers of autistic children often struggle to identify patterns behind challenging behaviors. This research designs a data-driven tracking system that helps caregivers log and interpret behavioral data, enabling more informed and timely interventions.
Data-Driven Interventions for Autistic Children via Caregiver Tracking
PACM CSCW 2022
Social Isolation Intervention
Investigating technological interventions and monitoring systems for individuals experiencing social isolation.
Micro-Bridges for Socially Isolated Youth
Combining low-effort technical interventions with mixed-methods analysis of extreme online discourse, this research works to safely transition reclusive and socially isolated youth into healthier support networks. This effort ranges from NLP-driven insights into how marginalized individuals express themselves in anonymous spaces to privacy-preserving check-in widgets that foster daily micro-connections.
AI Check-in Calls for Isolated Households
Socially isolated individuals often fall outside the reach of traditional support systems. This research examines the real-world deployment of CareCall, an LLM-driven conversational agent that conducts proactive check-in calls, uncovering key benefits and challenges in delivering AI-based public health interventions at scale.
Deploying LLM-Driven Chatbots for Public Health Intervention
ACM CHI 2023
Public Health Chatbots in Practice
As public agencies increasingly turn to AI chatbots for population-level health monitoring, gaps emerge between institutional expectations and operational realities. This research investigates how agencies perceive, adopt, and struggle with AI-driven chatbot systems — offering design implications for sustainable public health infrastructure.
Public Agencies' Expectations of AI Chatbots for Health Monitoring
ACM CHI 2025
AI-Mediated Communication
Exploring trust, self-disclosure, and patient-centered interaction in AI-mediated communication.
Effects of Non-verbal Empathy Expressions by AI Peer Counselling Avatars
Nonverbal cues such as eye contact, facial expressions, and head-nodding are crucial for conveying empathy in counseling. This project explores how AI avatars can express empathy nonverbally in real time, and whether that shapes how emotionally supported users feel in the peer support context.
Memory-Aware Chatbots for Deeper Disclosure
Self-disclosure is key to effective health support, yet users often hold back with AI systems. This research investigates how equipping LLM-driven chatbots with long-term memory affects users' willingness to open up, revealing design implications for building more trusted and continuous AI health companions.
Impact of Long-Term Memory on Self-Disclosure in LLM Chatbots
ACM CHI 2024