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 users’ voices. A 10-month auto-ethnography shows how fine-tuned models enhance fluency while raising new questions around agency, identity, and privacy
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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.
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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.
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Best Paper Honorable Mention Award (best 5%) 🏅
Jury Best Demo Award 🏆
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 • Video • Paper
Best Paper Honorable Mention Award (best 5%) 🏅
We present SplatOverflow, a workflow to support end-users, community members and manitainers asynchronously troubleshoot hardware issues.
Project page • Video • Paper