Ph.D. Student · Northeastern University
I am a second year Ph.D. student at Northeastern University, advised by Prof. Xiang Zhi Tan. I hold an M.S. in CS from Northeastern University and B.S. in Resource Economics from the University of Massachusetts Amherst.
My research focuses on developing personalized technologies to support older adults, their care partners, and the collaboration between them. In particular, I conduct user studies to understand how technology can fit naturally into the dynamics of everyday relationships, design context-aware AI systems that support coordination and collaboration, and study how these systems are adopted and adapted in daily life over time.
GROUPCase Study
This case study discusses how our definition and measurement of success have evolved during this transition and also asks open questions to the community about how to optimally measure “success” in the post-LLM CA era.
UbiCompPoster
Explored how LLMs can be used to generate retrospective summaries from multi-modal tracking data for RFMs of older adults. We generated summaries as technology probes, and conducted interviews with 11 RFMs to gather feedback. Based on these insights, we redesigned the system into a multi-layer, multi-agent, insight-driven summary approach that builds from objective statistics and descriptions to enriched, context-aware narratives.
Under SubmissionPreprint
Presented a system pipeline that supports reminder authoring through natural language and conversational interaction. The pipeline translates user requests into structured representations and executable logic, incorporating time-based, activity-based, sensor-based, and state-based conditions. We conducted two studies to examine how users express reminder intent and how conversational support influences the authoring process.
DISPaper
Explored the design of context-aware assistive technologies for meal preparation using a user-centered iterative design process. Through three iterative phases of design and feedback, evolving from low-tech lightbox to a digital screen, we gained insights into managing diverse contexts and personalizing assistance through collaboration with older adults with MCI and their care partners.
CSCWPaper
Explored users' successful and unsatisfactory experiences with assistance from an LLM-based conversational agent, Mango Mango, during cooking.
Under SubmissionPreprint
Explored user interactions with LLM-based voice assistants during a complex task — cooking. We identified key verbal & nonverbal behaviors, and developed an analytical framework in three dimensions: (1) key behavior characteristics, (2) interaction stages (exploration, conflict, integration), and (3) stage transitions during the task.
FDGPaper
Introduced an application that enables users to create their own playing cards for use in evocative storytelling games that generate unique card titles, card suits, imagery, and poetry based on the user’s input, to preserve their digital cards in an online repository and print them for tabletop game play use.
IEEE Conference on GamesPaper
Explored whether a game design with higher fidelity and a specific type of scene would correlate with a better player experience compared to a low-fidelity game, using a commercial gaminiscing game, Brukel.
IEEE Conference on GamesPaper
Catch The Butterfly is a narrative game exploring the real, lived experiences of an immigrant. This game aims to provide insights to game designers interested in the gaminiscing method, and to promote empathy and understanding of immigrants.
IEEE Conference on GamesDemo
Explored the utilization of the gaminiscing method in the design of a narrative-driven game, where every game mechanic is derived from the authentic stories of an immigrant.
After working for four years in a different field, I made the decision to pursue a master’s degree in computer science and dive into research. I understand that this journey comes with many questions—whether it’s about transitioning to a new field, finding internships, or starting research.
To help others who are exploring similar paths, I am offering Pro Bono Office Hours. If you have questions about switching your major to computer science, building your resume for internships, or getting started with research, I’d be happy to share my experiences and insights.
I look forward to connecting with you and supporting your journey!
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