Abstract
An objective assessment of the cognitive burden imposed by a task (cognitive workload) is of fundamental interest in that it would provide a "window" into one's current allocation of cognitive resources. Such insight would have tremendous implications in maximizing human performance through a multitude of applications including human-computer interaction. The authors propose a novel, electroencephalographic (EEG)-derived metric, which relies on the event-related potential (ERP) component, novelty-P3. A theoretical rationale and experimental evidence supporting the metric's utility are provided, followed by future directions. © 2013 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Rietschel, J. C., & Miller, M. W. (2013). The development and application of a novel physiological metric of cognitive workload. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8027 LNAI, pp. 582–590). https://doi.org/10.1007/978-3-642-39454-6_62
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