733 citations
- Cornell UniversityUS156 papers
- Jacobs InstituteUS11 papers
- Carnegie Mellon UniversityUS9 papers
- Google (United States)US9 papers
- Massachusetts Institute of TechnologyUS8 papers
- Stanford UniversityUS8 papers
- University of California San DiegoUS6 papers
- University of Maryland, College ParkUS6 papers
- University of WashingtonUS6 papers
- University of California, BerkeleyUS5 papers
- University of PennsylvaniaUS5 papers
- Weill Cornell MedicineUS5 papers
175 papers
Succinct and Fast Tiny Pointer Hash Tables
Xilin Tang, Yuqi Mai, William Kuszmaul +1
Hash tables sit on the critical path of many systems, yet modern designs still force a trade-off between fast operations and high memory overhead. We revisit this trade-off and pre…
Understanding the Use of a Large Language Model-Powered Guide to Make Virtual Reality Accessible for Blind and Low Vision People
Jazmin Collins, Sharon Y Lin, Tianqi Liu +2
As social virtual reality (VR) grows more popular, addressing accessibility for blind and low vision (BLV) users is increasingly critical. Researchers have proposed an AI "sighted…
mmFHE: mmWave Sensing with End-to-End Fully Homomorphic Encryption
Tanvir Ahmed, Yixuan Gao, Adnan Armouti +1
We present mmFHE, the first system that executes the entire cloud-side mmWave sensing pipeline including the DSP and ML inference under fully homomorphic encryption (FHE). mmFHE en…
Privacy Cards for Surfacing Mental Models and Exploring Privacy Concerns: A Case Study of Voice-First Ambient Interfaces with Older Adults
Andrea Cuadra, Samar Sabie, Yan Shvartzshnaider +1
We investigate the ethical and privacy implications of voice-first ambient interfaces (VFAIs) for aging in place through an in-depth engagement with five older adults. Our particip…
How Multimodal Large Language Models Support Access to Visual Information: A Diary Study With Blind and Low Vision People
Ricardo E. Gonzalez Penuela, Crescentia Jung, Sharon Y Lin +2
Multimodal large language models (MLLMs) are changing how Blind and Low Vision (BLV) people access visual information. Unlike traditional visual interpretation tools that only prov…
Understanding How Accessibility Practices Impact Teamwork in Mixed-Ability Teams that Collaborate Virtually
Crescentia Jung, Kexin Cheng, Sharon Heung +2
Virtual collaboration has transformed how people in mixed-ability teams, composed of disabled and non-disabled people, work together by offering greater flexibility. In these setti…