EEG-Based Prediction of Cognitive Load in Intelligence Tests

• Published in: Frontiers in human neuroscience Vol. 13; p. 191
• Main Authors: Friedman, Nir, Fekete, Tomer, Gal, Kobi, Shriki, Oren
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 11.06.2019; Frontiers Media S.A
• Subjects: Algorithms; Artificial intelligence; Brain; brain-computer interface; Cognitive ability; cognitive load; EEG; Electroencephalography; Instructional design; Intelligence; International conferences; Learning algorithms; Machine learning; Memory; Neural networks; Neuroscience; Raven's matrices; Software; Workloads; Israel; electroencephalography; Raven's matrices; cognitive load; machine learning; brain-computer interface

Measuring and assessing the cognitive load associated with different tasks is crucial for many applications, from the design of instructional materials to monitoring the mental well-being of aircraft pilots. The goal of this paper is to utilize EEG to infer the cognitive workload of subjects during...