Welcome to the University of Georgia Neurocognition Science Laboratory (NCSL)
“Where Cutting-Edge Research Meets Human Potential”
At the NCSL, we are dedicated to pioneering research at the intersection of Medical Education, Science Education, and Human Performance. Our interdisciplinary laboratory is at the forefront of exploring and translating cutting-edge technologies into actionable outcomes that enhance learning and cognition.
Our world-class facility investigates the remarkable changes in the brain during learning, using advanced tools such as machine learning, artificial intelligence, human-computer interfaces, and extended reality technologies. By integrating these technologies, we provide evidence-based practices and techniques that advance the areas of the Science of Learning, Augmented Intelligence, and Human Performance.
Our research employs a variety of sophisticated tools, including advanced human computer interfaces, eye/head-tracking, neuroimaging, and other physiological sensor systems, alongside traditional educational and psychological assessments. This comprehensive approach allows us to delve deeply into the mechanisms of learning, cognition, augmentation, and performance.
The NCSL brings together a diverse group of national and international investigators, fostering collaboration within and beyond the University of Georgia. As leaders in our field, we are committed to answering critical questions about human performance, cognitive augmentation, and learning, positioning the NCSL at the cutting edge of research in Georgia, the United States, and the world.
Some of our current projects include:
Predictive Assessments with AI using Neurological Insights
We’re developing advanced predictive assessments that use artificial intelligence to analyze neurological responses. This project aims to create smarter, more accurate evaluations and environments tailored to individual needs.
Cognitive Augmentation for Decision Making in High-Stress Environments
This project focuses on enhancing decision-making and information processing in high-stress, dynamic environments. By understanding cognitive demand and attention, we aim to improve the efficiency and accuracy of decisions.
Reducing Cognitive Load in Human-Machine Teaming
We’re exploring ways to automatically reduce cognitive load when people tackle challenging tasks in digital environments using advanced technologies. This research helps make learning more manageable and effective by identifying approaches that ease mental strain during human-machine teaming.
Enhancing Memory with Cross-Modal Cueing
Our team is investigating how different sensory cues can improve memory encoding, processing, and retrieval. This project aims to boost both short-term and long-term memory through innovative techniques.
AI-Powered Conversant and Emotive Avatars for Personalized Learning and Mental Health Treatment
We’re using AI to create interactive, emotionally responsive avatars that provide personalized learning and mental health treatment experiences. These adaptive approaches are designed to meet users where they are, making education and mental health treatments more engaging and effective.
