Project Grant 2506865
- This National Science Foundation (NSF) Project Grant awarded under the Computer and Information Science and Engineering (CFDA 47.070) program provides $1,200,000 to the Regents of the University of Michigan to develop multimodal techniques to enhance intra- and post-operative learning and coordination between attending and resident surgeons. The key objectives are to: Collect and curate a dataset of up to 100 laparoscopic cholecystectomy surgeries, including surgeons' gaze, operating room...
- The National Science Foundation (NSF) awarded a $260,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Virginia Polytechnic Institute & State University (Virginia Tech) to investigate how gaze-based models can be used for estimating engagement and guiding user attention within immersive virtual reality (VR) training experiences, particularly in the domain of construction safety training. The project aims to leverage eye tracking and...
- This $659,809 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports the development of a novel system to identify cognitive and affective states, behavioral patterns, and contextual factors contributing to medical errors. The research team at Virginia Polytechnic Institute & State University (Virginia Tech) will implement multi-modal machine-learning algorithms leveraging data from...
- This $249,250 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of an AI coaching system to enhance surgical teamwork in cardiac operating rooms. Over four years, researchers at the Massachusetts Institute of Technology will design multimodal hardware and algorithms to model, monitor, and generate interpretable feedback on teamwork dynamics using data from cardiac procedures. The goal is to mitigate human...
- This $244,306 project grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of an artificial intelligence-enabled coaching system to enhance surgical teamwork in cardiac operating rooms. Led by researchers at Brigham and Women's Hospital in Houston, Texas, the grant aims to design multimodal sensing hardware, data-driven algorithms, and an interface to monitor, assess, and improve collaboration among healthcare...
- The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program has awarded the University of Dayton Research Institute $174,592 to develop an AI-powered educational game platform that supports collaborative decision-making through real-time and adaptive feedback. This 2-year project, with a start date of July 1, 2025, will create a cognitive tutor enhanced by large language models to provide personalized feedback and adapt responses to enhance...
- This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program, with CFDA Number 47.070, provides $260,000 to Arizona State University (ASU) to investigate how gaze-based models can be used to estimate learner engagement and guide attention within immersive virtual reality (VR) training experiences, particularly for construction safety training. The project aims to explore the use of eye tracking and artificial intelligence to...
- This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $899,421 to Vanderbilt University to develop artificial intelligence (AI)-assisted technologies that support reflection-based learning in nursing simulation training. The key products delivered under this 3-year award, beginning October 1, 2024, include: A multimodal data analysis pipeline to collect and integrate learning...
- This $110,000 Project Grant from the National Science Foundation Office of Emerging Frontiers and Multidisciplinary Activities will support the development of an augmented/virtual reality nursing assistant training program at the New Jersey Institute of Technology. The training program aims to address staffing shortages in long-term care settings through improving certified nursing assistants' (CNAs) attitudes, perceptions and communication skills related to caring for older adult patients....
- This $300,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research by the University of Maryland, College Park to enhance pilot training through the development of methods for optimizing sensory-motor interactions. The goal is to reduce training duration and improve safety by leveraging secondary sensory cues, such as touch and audition, and insights into pilot neurophysiology. The research involves creating a pilot training...
This $900,000 Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to advance intelligent cognitive load sensing and adaptive scaffolding to support collaborative simulation-based learning in high-stakes environments, such as healthcare emergency response training. The project, conducted by the Regents of the University of Michigan, will leverage multimodal data (e.g., heart rate, speech, gaze) within team-based immersive virtual reality to help medical trainees practice effective teamwork and decision-making. The goal is to equip trainees with strategies to make rapid, accurate, and repeatable decisions while effectively executing tasks to save lives. The project's outputs, including an open-source database on cognitive load triggers and regulation strategies, are designed to benefit medical educators, quality and safety professionals, human factors engineers, and those developing cardiac arrest response guidelines. The training methods developed could also benefit other high-stakes fields, such as aviation, military emergency rescue, and wildfire management.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $900.0k | 9/4/25 |