Project Grant 2417447

Award Date 10/1/24
Completion Date 9/30/27
Dollars Obligated $350K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Kingston, RI 02881, USA
Similar Awards
This $250,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at Northeastern University to explore how aging affects people's ability to use emerging human-computer interaction (HCI) technologies like virtual reality (VR). The project aims to develop an immersive multimodal HCI framework to study the underlying neural dynamics linking age-related changes in visuospatial-motor...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $599,999 to the University of Rhode Island (URI) Research Office Division aims to design and prototype virtual reality (VR) technologies that empower adults with intellectual and developmental disabilities (I/DD) to independently engage in post-trauma self-regulation. The 3-year project (10/1/2024 - 9/30/2027) will: 1) understand how adults with I/DD...
This $699,641 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to understand the mechanisms that enable seamless interactions between humans and adaptive synthetic agents, such as brain-machine interfaces, active prosthetics, and assistive exoskeletons. The University of Delaware is the prime awardee and will leverage virtual reality and robotics to study how healthy individuals and stroke patients co-adapt during...
This Project Grant awarded by the National Science Foundation (NSF) under its Computer and Information Science and Engineering (CFDA 47.070) federal grant program provides $300,000 to support collaborative research at Clemson University on future-proofing technologies to assist people experiencing cognitive decline, such as those living with dementia or mild cognitive impairment. The research team will design adaptable "smart object" systems that can assist users in maintaining...
This $300,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop "future proofing" approaches using smart objects as assistive technologies for people experiencing age-related cognitive decline, such as dementia and mild cognitive impairment. The project aims to create a framework for designing technology that can adapt to changing cognitive abilities over time,...
This National Science Foundation project grant of $174,778 will fund research at San Jose State University from September 2022 to August 2024 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant aims to develop methods and tools to support older adults with varying cognitive and physical abilities in interacting with complex automated systems. Researchers will conduct simulation experiments to explore the effects of multimodal displays on how quickly...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant provides $300,000 to Northeastern University to develop an AI-powered toolkit to make digital activities more accessible for older adults aged 50 and above. The 2-year project (Oct 2024 - Sep 2026) will focus on designing, developing, and deploying AI technologies to address barriers that prevent older adults from fully engaging with digital entertainment and social connection...
This National Science Foundation Project Grant award of $468,072 supports research at The Trustees of the Stevens Institute of Technology to develop personalized virtual reality interfaces for motor rehabilitation. The goal is to optimize outcomes for individuals with spinal cord or brain injuries undergoing physical therapy. The researchers will examine how impairment levels affect performance, physiological responses, and perceptions during VR training that adapts task difficulty and...
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...
The National Science Foundation (NSF) awarded a 5-year, $198,370 CAREER grant to Mississippi State University (MSU) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This project seeks to advance virtual reality (VR) research by combining insights from computer science, neuroscience, and ophthalmology to improve the coupling between VR systems and people's perceptual abilities and physical features. Key activities include leveraging ophthalmic models to...

This National Science Foundation (NSF) Project Grant award under the CFDA 47.070 Computer and Information Science and Engineering program provides $349,972 to the University of Rhode Island to conduct research on the effects of aging on people's ability to use emerging human-computer interaction (HCI) technologies like virtual reality (VR). The goal is to understand how age-related declines in visuospatial-motor functions impact the successful use of immersive 3D HCI environments. The project will develop novel computational frameworks to model the complex nonlinear neural dynamics underlying visuospatial-motor interactions in virtual spaces, with the intent of guiding the design of more accessible and inclusive HCI systems. This 3-year project, starting on October 1, 2024, will support multidisciplinary research across neuroscience, engineering, and computer science to advance scientific understanding and inform the development of adaptive HCI technologies that can accommodate diverse user needs.

Generated 4/1/25, 5:11 AM