Accession Number:

ADA616681

Title:

Progress Toward Adaptive Integration and Optimization of Automated and Neural Processing Systems: Establishing Neural and Behavioral Benchmarks of Optimized Performance

Descriptive Note:

Final rept. Aug 2012-Aug 2013

Corporate Author:

ARMY RESEARCH LAB ABERDEEN PROVING GROUND MD HUMAN RESEARCH AND ENGINEERING DIRECTORATE

Personal Author(s):

• Ries, Anthony J.
• Gibson, Laurie
• Touryan, Jon
• McDowell, Kaleb
• Cecotii, Hubert
• Giesbrecht, Barry

Report Date:

2014-11-01

Pagination or Media Count:

42.0

Abstract:

Technical advances intended to improve situational awareness by providing more information about the tactical environment place high demands on the Soldiers limited capacity cognitive and neural systems. Information display technologies have been developed that filter information to prevent performance failures due to information overload. However, these technologies are typically rigid with respect to changes in the operators physical and cognitive state. The objective of the project described in this report is to develop an adaptive framework that adjusts filtering algorithms to optimize human performance in a variety of operational contexts. The work adopts a unique approach that integrates measures of behavior and brain activity with automated information processing and display algorithms. It leverages basic science research conducted at the Institute for Collaborative Biotechnologies that uses machine learning algorithms to detect performance failures during difficult attentional tasks based on brain activity, work done at Science Applications International Corporation using pattern classification algorithms to detect threats based on brain activity, and work done at the US Army Research Laboratory aimed at understanding the cognitive constraints on performance in crew stations.

Descriptors:

• *ADAPTIVE SYSTEMS
• *COGNITION
• *DATA FUSION
• *MAN COMPUTER INTERFACE
• *PERFORMANCE(HUMAN)
• BEHAVIOR
• BRAIN
• COMPUTERIZED SIMULATION
• CUES(STIMULI)
• ELECTROENCEPHALOGRAPHY
• LEARNING MACHINES
• MATHEMATICAL PREDICTION
• NEURAL NETS
• OPTIMIZATION
• PATTERN RECOGNITION
• REACTION(PSYCHOLOGY)
• SITUATIONAL AWARENESS
• STRESS(PHYSIOLOGY)
• TARGET CLASSIFICATION
• TELEOPERATORS
• VISUAL PERCEPTION

Subject Categories:

• Psychology
• Stress Physiology
• Human Factors Engineering and Man Machine Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE