Interactive Neuro-Educational Technolgies (I-INET): Enhanced Training of Threat Detection

According to Department of Homeland Security (DHS), over 700 million pieces of baggage are screened for potential threats in the U.S. every year. Training methods for DHS screeners rely on conventional classroom instruction and on-the-job mentoring. By definition, a screener's work is challenging because the search for threats demands sustained, focused attention while reviewing many
images with very low probability of detecting an actual threat. Limitations of current training are inherent in the nature of the task; the
required repetitious training over time degrades its effectiveness and induces fatigue, boredom and inattention. To begin to address
these challenges, the investigators propose to integrate neuroscience-based evaluation technologies with multiple training approaches
with the goal of creating an interactive learning, adaptive to the skill levels and needs of individuals. This innovative technology will be
designed to increase training efficacy and reduce fatigue associated with current repetitive training methods. Envisioned products will incorporate the electroencephalogram (EEG) and other physiological metrics such as heart rate (EKG) into systems with continuous psychophysiological monitoring in combination with performance metrics including accuracy, speed and efficiency. Interactive adaptive computer-based training systems will facilitate interventions within the training environment to accelerate skill acquisition and provide quantitative evidence of success.