Research Summaries

Back Enabling Visual Detection of IED Indicators Through Perceptual Learning Assessment and Training

Fiscal Year 2013
Division Research & Sponsored Programs
Department Modeling, Virtual Environments & Simuation Institute
Investigator(s) Yang, Ji Hyun
Sponsor Joint Improvised Explosive Device Defeat Organization (Joint)
Summary This project is to explore the development of proof of principal training packages based on perceptual learning to improve Soldier performance on the task of visually detecting IEDs. Use Perceptual Learning Trainer (PLT) software to test experts and novices on the detection of IEDs. Experiment will leverage Seeing Machines faceLAB 5.0 non-intrusive eye tracking system, EyeTracking Eyeworks 3 Pro software provides the number, location, and duration of eye fixations. Experts and novices will be scored using Signal Detection Theory (SDT) metrics for correct detections, false alarms, misses, and correct rejections.
Keywords IED Detection, Perceptual Learning
Publications Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal
Data Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal