This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award (CFDA 47.070) for $385,000 will enable the University of Maryland, College Park to develop artificial intelligence (AI) systems that can provide personalized, appropriate responses to users based on their individual background and needs. The project aims to first construct a diverse dataset to characterize preferred responses from different user groups, and then use this to train AI...
This $600,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop artificial intelligence (AI)-powered approaches to improve accessibility to public facilities for underserved communities. The research will establish theoretical and algorithmic foundations for scalable AI frameworks to address the Facility Accessibility Improvement Problem (FAIP). Key objectives include: Providing collective...
The National Science Foundation (NSF) awarded a $200,000 Project Grant under the Engineering program (CFDA 47.041) to San Francisco State University (SFSU), a Hispanic-Serving Institution, to develop an AI-driven sensory augmentation system for visually impaired individuals. The goal of this 2-year research project is to improve the independence, accessibility, and well-being of visually impaired persons by leveraging natural representative sound and AI technology. The project aims to enhance...
This $414,995 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop personalized artificial intelligence (AI) systems that can tailor their responses to individual users based on their unique backgrounds and needs. Key objectives include: Gathering a diverse dataset to characterize the types of responses preferred by different people, particularly underrepresented groups. Using this data to...
Gallaudet University received a two-year, $378,080 project grant award from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support the "Designing Accountable Artificial Intelligence Services for People with Diverse Sensory Abilities" project. This project aims to advance the development of AI technologies that are accessible and beneficial to individuals with different sensory abilities, such as blindness...
This Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will fund research to better understand the differences between how humans and AI language models process and interpret language. The $432,656 award to the University of Massachusetts (UMass) will explore techniques to align AI models more closely with human language comprehension, including investigating the relationship between model...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $400,000 to the Massachusetts Institute of Technology (MIT) to investigate methods and systems that allow blind and low-vision (BLV) users to build customized, interactive multisensory data representations spanning text, audio, and tactile modalities. The goal is to empower BLV individuals to engage in data analysis as richly...
This $562,856 federal Project Grant award, made by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) grant program (CFDA 47.070), will fund the development of adaptive artificial intelligence (AI) systems to improve the accessibility of non-speech audio elements in online video content. The project aims to create tools that can identify and caption important non-speech sounds, such as environmental cues and music, to make digital media more...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, will develop adaptive artificial intelligence systems to provide accessible audio captioning of non-speech sounds in digital media content. The $237,141 award to New York University aims to ensure that all citizens can fully participate in digital education, entertainment, and civic life by creating tools to make non-speech audio cues, such as...
This Project Grant award from the National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) will fund research to advance accessible collaboration tools for visually impaired information workers. The $943,192 award to Northwestern University will: Develop a taxonomy of accessibility barriers and design guidelines for AI-powered collaboration tools to support ability-diverse team communication, coordination, and knowledge sharing. Create an accessible infrastructure of new...