Project Grant 2302821

Award Date 6/15/23
Completion Date 5/31/26
Dollars Obligated $184K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
College Station, TX, USA
Similar Awards
The National Science Foundation awarded a $457,105 project grant to The University of Texas at San Antonio under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support research into reducing cognitive demands and safety risks for users of mobile augmented and virtual reality technologies. Specifically, the research team will study how mobile augmented and virtual reality headsets impact user attention and symptoms of sickness while...
This National Science Foundation award of $150,000 provides funding for a two-year project grant to Arizona State University under the Computer and Information Science and Engineering program (CFDA 47.070). The project aims to develop a software analysis framework to detect and mitigate security and privacy risks in augmented reality mobile applications. Specifically, the university researchers will conduct static and dynamic program analysis focused on unique augmented reality elements like...
This Project Grant award of $324,000.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports the development of innovative techniques to automate the testing of augmented reality (AR) applications. The project aims to: Automate the construction of test scenes for AR apps by loading playback videos and configuring them at runtime, identifying interactive areas on the screen, and automating GUI event triggering. Develop...
This $323,961 Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop innovative techniques for automating the testing of augmented reality (AR) applications. The key products and services to be delivered include: Developing an infrastructure to apply existing automatic graphics user interface (GUI) testing techniques to AR apps, including automating test scene construction, identifying...
This $738,652 three-year Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will support research into improving the safety and usability of mobile augmented and virtual reality technologies. The grantee, the University of California, Santa Barbara, will investigate how these immersive head-mounted displays affect users' attention, symptoms of motion sickness, and situational awareness when worn while walking. Researchers will collect...
The University of Texas at San Antonio (UTSA) received a $600,000 project grant from the National Science Foundation's Division of Information and Intelligent Systems under the agency's Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports UTSA's research to create and evaluate methods for real-time detection of potential collisions and provide optimized feedback to reduce injury when using virtual reality head-mounted displays. Key objectives include...
This two-year, $300,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop techniques to enhance the security and privacy of augmented reality mobile applications. The University of Texas at San Antonio will analyze the software behaviors of augmented reality elements like trackables and anchors to detect potential privilege abuses. Researchers will create a framework to formally model these behaviors over an...
This Project Grant from the National Science Foundation (NSF) provides $150,000 to Case Western Reserve University to develop a software analysis framework and conduct a study of security and privacy risks in augmented reality (AR) mobile applications. The award falls under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports foundational research and education in computing disciplines. Specifically, the university will create static and dynamic...
This Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $171,879 to Montclair State University to develop secure and privacy-preserving augmented reality systems. Over a two-year period from October 2022 through September 2024, the University will work to identify potential sensor injection attacks on augmented reality devices and propose defense algorithms using...
This National Science Foundation (NSF) Early-concept Grants for Exploratory Research (EAGER) project aims to develop an immersive mixed-reality infrastructure that enables smooth sensorimotor interactions between humans and virtual scene simulations. The $149,999 award, granted under NSF's Engineering program (CFDA 47.041), supports research to establish a closed-loop AI-driven task environment for training applications. Key objectives include creating flexible training modules, developing...

The National Science Foundation awarded a $183,836 project grant to Texas A&M University under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support the development of personalized augmented reality safety training environments for high-risk workplaces. Over three years from June 2023 to May 2026, the university will construct an augmented reality system using computer vision algorithms and accident scenario simulations. The system will recognize hazards from pictures of trainees' worksites and recreate the sites to demonstrate potential accidents. In the first phase, the university will develop algorithms to detect workplace hazards and pool accident scenarios. The second phase will assess the developed training's impact on hazard recognition and safety behaviors through individual evaluations and monitoring at industry partner worksites. The project aims to advance occupational safety training practices using more engaging, site-specific methods.

Generated 3/20/24, 9:08 AM