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Cognitive Ergonomics Research Facility San Diego State University | ||||
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Principal
Investigator: Sandra P. Marshall The goal of the project is to validate and implement a new psychophysiological metric, the Index of Cognitive Activity (ICA). ICA assesses cognitive workload by measuring changes in pupil dilation that occur as individuals exert mental effort. ICA is being used in a number of collaborative studies to evaluate the cognitive impact of innovative technologies that are currently being developed in DARPA’s Augmented Cognition Program. The Index of Cognitive Activity is a psychophysiological measure based on pupil reflexes that occur when an individual experiences effortful cognitive processing. The pupils dilate when an individual engages in different types of cognitive acts such as reading text, listening to instructions, searching a display, or interpreting a graph. Because the underlying phenomenon to be measured is a reflex, it is not under an individual’s conscious control and is not subject to the same confounding factors as subjective measures of cognitive difficulty or external estimates based on performance. The Index has a wide range of application because the required measurement of pupil dilation can be made easily in most environments without interfering with a user’s normal performance in the environment. The Index of Cognitive Activity (ICA) is implemented with state-of-the-art eye tracking technology and derives from recent advances in the mathematical field of wavelet theory. Already employed to evaluate two projects supported by the Office of Naval Research, the patented procedure in its current form has been validated on tasks with varying cognitive demands and has successfully identified interfaces and software applications that increase or decrease the cognitive workload for the user. Under DARPA’s Augmented Cognition Program, the ICA is being extended to provide real-time assessment of cognitive workload in a number of complex environments. The ICA is currently being validated through multiple collaborative efforts with other research programs within the Augmented Cognition Program. Through these efforts, the real-time estimate of cognitive workload from ICA is to be integrated with other sensors derived from physiological measures such as EEG and fNIR. Technology
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