This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) for $324,000 will develop techniques to automate the testing of augmented reality (AR) applications. The project aims to create an infrastructure to apply existing automatic graphical user interface (GUI) testing methods to AR apps, including automating test scene construction, identifying interactive areas, and triggering GUI events. It will also develop techniques to...
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 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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program Project Grant, awarded to Duke University, aims to develop more robust object detection methods and augmented reality (AR) techniques to enhance the reliability of AR applications in real-world settings. The $599,817 award, granted on November 1, 2023, will enable the project team to: 1) design and develop a robust AR object detection framework to enhance the reliability of AR object detectors;...
This $300,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports research at New York University to develop efficient computer systems for augmented and virtual reality through a perception-guided approach. Specifically, the researchers will design software-hardware mechanisms to quantitatively model human visual perception and leverage those models across system stacks to achieve an order of magnitude gain in...
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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award, totaling $639,945, was provided to Carnegie Mellon University (CMU) from June 2024 through May 2027. The research project focuses on developing methods to detect faults in robotic and autonomous systems (RAS) by analyzing program artifacts and real-world data. Key deliverables include: 1) techniques to infer behavior models and check them against...
This three-year, $671,724 National Science Foundation project grant supports research at the University of Missouri to develop augmented reality learning platforms for undergraduate engineering laboratories. The grant aims to integrate real-time 3D motion tracking, eye tracking, and location sensing technologies to create an innovative augmented reality environment. This next-generation augmented reality platform seeks to address challenges students face in navigating augmented reality devices...
This $597,395 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant award aims to investigate a model for AI-supported mobile augmented reality (AR) to create interactive AR "laboratories" for 9th grade biology education. The project will develop novel spoken language interfaces to allow students to create and manipulate culturally relevant educational simulations that run on smartphones. The research will explore science...
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...