Brainwave-Based Imagery Analysis

Authors:
Andrew J. Cowell;Kelly Hale;Chris Berka;Sven Fuchs;Angela Baskin;David Jones;Gene Davis;Robin Johnson;Robin Fatch;Eric Marshall
Affiliations:
Pacific Northwest National Laboratory, USA;Design Interactive, Inc., USA;Advanced Brain Monitoring, Inc., USA;Design Interactive, Inc., USA;Design Interactive, Inc., USA;Design Interactive, Inc., USA;Advanced Brain Monitoring, Inc., USA;Advanced Brain Monitoring, Inc., USA;Advanced Brain Monitoring, Inc., USA;Pacific Northwest National Laboratory, USA
Venue:
Digital Human Modeling
Year:
2008

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Abstract

Intelligence analysts are bombarded with enormous volumes of imagery that they must visually filter to identify relevant areas of interest. Interpretation of such data is subject to error due to (1) large data volumes, implying the need for faster and more effective processing, and (2) misinterpretation, implying the need for enhanced analyst/system effectiveness. This paper outlines the Revolutionary Accelerated Processing Image Detection (RAPID) System, designed to significantly improve data throughput and interpretation by incorporating advancing neurophysiological technology to monitor processes associated with detection and identification of relevant target stimuli in a non-invasive and temporally precise manner. Specifically, this work includes the development of innovative electroencephalographic (EEG) and eye tracking technologies to detect and flag areas of interest, potentially without an analyst's conscious intervention or motor responses, while detecting and mitigating problems with tacit knowledge, such as anchoring bias in real-time to reduce the possibility of human error.