Aptima Adds Physiological Data to Performance Measurement Software to Unlock Cognitive Overload
- Demo at I/ITSEC 2011 interprets body sensor data for richer real-time measures of human performance and cognition
Aptima, which applies expertise in how humans, think, learn, and behave, is addressing this challenge by integrating physiological measures into its A-Measure(r) performance measurement software. A-Measure, the industry's first full-performance measurement solution, is used in live and simulated environments to create, collect, and visualize individual and team performance in real time. With the addition of sensor data for neural activity, heart rate, galvanic skin response, and other body signals, A-Measure can assess the internal states of human operators, such as cognitive workload and decision-making ability, producing a richer picture of performance.
C4ISR Market - Forecast to 2021
"If we want machines to improve the function of humans engaged in complex missions, the systems need to better intuit or sense their state and what they need to accomplish," said Dr. Alexandra Geyer, a Senior Cognitive Scientist and expert in neurophysiology at Aptima. "By themselves, raw heart rate, brain activity, or eye movement data don't tell much. But by applying algorithms to these data, we can compute meaningful measures that can be used to optimize the operator's performance."
Aptima will be showcasing A-Measure's physiological and other enhancements at I/ITSEC 2011 in Booth 3341, November 28-December 1, 2011 in Orlando, Fl. The software will collect physiological data from subjects wearing BioHarnesses, displaying the measures in real-time through a visual dashboard.
As data from sensors monitoring an operator's body signals, such as brain, heart, muscle-activity, eye movement, respiration, or galvanic skin response, are fed into A-Measure, they're computed into meaningful measures in real time by an automatic performance measurement application, the PM EngineTM. When combined with A-Measure's system- and observer-based measures, this results in a comprehensive assessment of an operator's state and mission performance.
"Besides mitigating performance bottlenecks in live operational systems, integrating the physiological measures with other measures holds great promise for increasing training effectiveness and learning efficiency, " added Emily Wiese, Aptima's A-Measure Product Manager. "Training system developers will be able to use these measurements to devise training environments that are tailored to each trainee's individual learning needs, resulting in better comprehension and retention of learned material."
Additional enhancements to A-Measure will also be demonstrated at I/ITSEC. These include optimization of its SPOTLITETM observer-based data collection software as a mobile app for use on an Android Tablet, and measurement cueing capabilities. The measurement cueing engine allows a user to define criteria, such as ratings in the PM Engine, to cue the SPOTLITE user to collect additional data, and then direct those measure cues to occur in real-time as the training exercise is occurring. For example, if the PM Engine receives a certain measure result, it might cue a SPOTLITE observer-instructor to collect a set of pre-defined measures by automatically adding them to the SPOTLITE measurement tree and notifying the user of their addition.
BioHarness(r) is a trademark of Zephyr Technology Corporation.
Android(r) is a trademark of Google Inc.
Your company’s press release on ASDNews and to thousands of other journalists and editors? Use our ASDWire press release distribution service.
Source : Aptima, Inc.