Project Grant R44DA042640

The University of California, Santa Barbara will use a $301,709 project grant from the National Science Foundation's Computer and Information Science and Engineering program to develop an artificial intelligence framework for transforming online introductory STEM video lectures. The framework will extract gestures and voice from existing instructor-led videos and reconfigure them into agent-based presentations delivered by a diverse set of emotionally and socially sensitive animated on-screen...

This $348,757 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to quantify social and affective cognition in humans and machines. The project aims to define objective measures for assessing the emotional understanding capabilities of large language models used in AI chatbots, in order to enable the development of more capable and safer conversational AI systems. Key aspects include...

This Project Grant award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242), provides $208,888 to The Washington University to develop computer vision techniques for identifying autism spectrum disorder (ASD) motor deficits in infants. The project aims to leverage deep learning and computational ethology to quantify and categorize ASD-related motor function deficits from longitudinal video data, with the goal of enabling earlier ASD...

This three-year, $375,000 project grant from the National Science Foundation's National Center for Science and Engineering Statistics, operating under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), will develop tools to analyze process data from computer-based educational assessments and adaptive designs for testing and learning. The Columbia University researchers will focus on statistical learning methods to understand students' cognitive processes using log file data...

Directed Analytics Inc. received a $276,000 National Science Foundation Project Grant under the NSF Technology, Innovation, and Partnerships program to develop an automated employability skills framework. The one-year project will create a scalable software platform integrating data from school districts and higher education programs on transition methods and employment outcomes for individuals with autism spectrum disorder or other developmental disabilities. Using machine learning, the...

This $430,375 Project Grant award from the National Institute on Deafness and Other Communication Disorders (NIDCD), part of the Research Related to Deafness and Communication Disorders (CFDA 93.173) federal grant program, aims to validate the use of artificial intelligence (AI) techniques applied to video and speech data for objectively evaluating social interaction and mental health in individuals with mild cognitive impairment (MCI). The project will be carried out by Emory University, a...

This National Science Foundation (NSF) SBIR Phase I Project Grant award of $274,996 to Algoface Inc., dated March 1, 2024, aims to develop a novel AI system called "Face Analyzer/Semantic Search" that bridges descriptive text and facial photos. Unlike conventional facial recognition systems, this technology aims to enable facial analysis and search without requiring a probe photo for comparisons. The key objectives are to construct a comprehensive training dataset, expand computer...

This $200,000 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research into how emotions are encoded in the brain during narrative listening. The project aims to investigate the representations of affect (valence and arousal) across brain regions and frequencies using functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) data collected from a large, diverse sample of adults aged...

The National Science Foundation (NSF) awarded a $166,289 Project Grant to the University of Massachusetts (UMass) under the Engineering program (CFDA 47.041) to develop a novel single-ear biosensing system for continuous facial and eye movement tracking and 3D facial reconstruction. The research aims to enable camera-free facial landmark detection and 3D facial animation through cross-modal transfer learning between visual and biosignal data. Key project objectives include designing low-power...

This Project Grant award from the National Science Foundation (CFDA 47.075 - Social, Behavioral, and Economic Sciences) provides $149,746 to the University of North Carolina at Charlotte to conduct research on the use of emotional expressions by leaders and followers in virtual meetings. The key objectives of this project are to: 1) collect verbal and nonverbal data from leaders and followers during online meetings focused on strategic planning; 2) apply artificial intelligence methods to...