Adaptable Toolkit for the Assessment and Augmentation of Performance by Teams in Real Time (ADAPTER)

ABSTRACT: Full-spectrum cyber operations, including both Cyber Network Attack and Cyber Network Defense, place enormous cognitive demands on operators and teams. When demands are too high or tasks are not properly allocated, performance degrades, and missions may fail. To avoid operator overload, a thorough, real-time evaluation of the state of the individual and the team is required. Assessments of behavioral, neurophysiological, and physiological signals which correlate with individual and team performance can provide the information necessary to evaluate state and optimize team performance. To address these challenges, Charles River Analytics proposes an Adaptable Toolkit for the Assessment and Augmentation of Performance by Teams in Real Time (ADAPTER). ADAPTER will provide a framework that flexibly integrates both current and emerging sensors, and fuses sensor data to provide performance assessment. ADAPTER will enable comprehensive and holistic characterization of team performance across these sensors with advanced modeling techniques that will help experimenters create and use models that support research on performance and the development of augmentation strategies. ADAPTER will include an interface for experimenters to monitor the results of experiments as they unfold and see the real-time effects of their augmentation strategies. BENEFIT: ADAPTER will benefit Air Force and USCYBERCOM Cyber Operations (as well as those organizations that design and develop tools for Cyber Operations) by improving their ability to assess operator and team states and dynamically apply strategies to optimize performance. ADAPTER will enable the efficient development and evaluation of operator and team state models that will facilitate laboratory research on operator and team performance. ADAPTER technologies will also further the development of our commercial AgentWorks toolkit, integrating it with a range of sensor devices to increase its appeal for performance assessment and other real-time sensing applications.