Project Grant 2417448

Award Date 10/1/24
Completion Date 9/30/27
Dollars Obligated $250K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Boston, MA 02115, USA
Similar Awards
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) in the amount of $349,972 will support research to understand how aging affects people's ability to use emerging technologies such as virtual reality (VR) for human-computer interaction (HCI). The research project, titled "Collaborative Research: HCC: SMALL: Graph-Centric Exploration of Nonlinear Neural Dynamics in Visuospatial-Motor...
This $300,000 Project Grant awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program will fund the development of an AI-powered toolkit to improve the accessibility and inclusivity of digital activities for older adults aged 50 and above. The project, led by Northeastern University, aims to address barriers that often exclude older adults from engaging with digital puzzles, competitive sports, and other interactive experiences...
This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award, titled "SCC-IRG TRACK 1: STRENGTHENING ELDERLY MOBILITY IN URBAN LANDSCAPES: TOWARDS AGE-INCLUSIVE AND EQUITABLE COMMUNITIES," provides $1,100,000 in funding to Northeastern University from September 1, 2024 to August 31, 2027. The project aims to address the challenge of urban mobility for aging populations by leveraging artificial intelligence (AI) and virtual reality (VR) technologies. It will...
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) Project Grant, awarded under the Computer and Information Science and Engineering (CFDA 47.070) program, will support a collaborative research effort led by Clemson University to develop future-proofing technologies for people experiencing age-related cognitive decline. The $300,000 award, spanning June 2025 to May 2028, will fund the design of smart home objects and customizable systems that can adapt to changing cognitive abilities over time. The...
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 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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) grant award (CFDA 47.070) provides $599,999 to the University of Rhode Island Research Office to design virtual reality (VR) technologies that can help adults with intellectual and developmental disabilities (I/DD) self-regulate post-traumatic stress. The research aims to: 1) understand how adults with I/DD engage in post-trauma self-regulation, 2) assess VR accessibility for the I/DD community, 3)...
This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the federal Computer and Information Science and Engineering program (CFDA 47.070), provides $200,611 to Northwestern University from October 1, 2022 to September 30, 2026. The funding supports research examining the experiences of marginalized communities undergoing significant life changes and how augmented reality technologies can address related social and behavioral...
This $300,000 Early-Concept Grant for Exploratory Research (EAGER) award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will leverage virtual reality and wearable devices to study how individuals with visual impairment navigate through crowded urban environments. The research aims to elucidate the sensorimotor interactions and cognitive processes involved in such navigation, with the goal of informing the development of assistive technologies that can enhance...

This $250,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support Northeastern University's research to understand how aging affects people's ability to use emerging technologies like virtual reality (VR) for human-computer interaction.

The project aims to develop an immersive multimodal human-computer interaction (HCI) framework to explore the underlying neural dynamics that connect age-related changes in visuospatial-motor (VSM) functions to the digital competence required for adapting to 3D HCI environments. Key activities include designing a novel dual VSM-based VR interface, developing nonlinear pattern recognition techniques and a graph-based learning framework to characterize the neural activities associated with VSM functions, and evaluating statistical methods to predict age-related VSM changes and their impact on 3D HCI adaptation. The insights gained are intended to inform the design of more accessible and inclusive HCI systems to benefit a broader range of users.

Generated 4/8/25, 4:28 AM