I am a CS PhD Candidate at Matter of Tech Lab advised by Prof. Thijs Roumen at Cornell Tech and co-advised by Prof. Stephanie Valencia from UMD, dedicated to advancing augmentative and alternative communication (AAC) technologies. My research centers on developing systems to seamlessly integrate non-informative speech such as humor, interjection words/sounds, reading poetry, etc., enhancing expressivity for individuals with speech and motor impairments.
Areas of interest: accessibility, disability, AAC, expressive communication, LLMs, human-AI interaction, human-centered machine learning, and HCI.
We study how ultra-personalized AI can support AAC usersβ voices. A 10-month auto-ethnography shows how fine-tuned models enhance fluency while raising new questions around agency, identity, and privacy
Project page β’ Video (Coming soon) β’ Paper
We investigate how CAD interfaces can guide exploration and comparison of workflows. Specifically, comparison can advance users' reasoning about design decisions. We developed a prototype interface, CAMeleon, which lets users compare fabrication workflows. Users load 3D models and preview outcomes from different workflows.
Project page β’ Video β’ Paper
We study how AAC users create and negotiate expressive backchanneling using multi-modal cues, this study reveals design opportunities to support real-time presence and conversational rhythm in AAC technology.
Project page β’ Video β’ Paper
Best Paper Honorable Mention Award (best 5%) π
Jury Best Demo Award π
We study how AI-powered AAC interfaces can help users with speech disabilities deliver timely, humorous comments. This study highlights design insights to improve expressivity and timing in AAC technology.
Project page β’ Video β’ Paper
Best Paper Honorable Mention Award (best 5%) π
We present SplatOverflow, a workflow to support end-users, community members and manitainers asynchronously troubleshoot hardware issues.
Project page β’ Video β’ Paper