Abstract
The purpose of this study was to examine neuroimaging technologies for quantifying cognitive load in intelligent interactive multimedia systems for experimental applications by conducting a systematic review of all relevant papers published up to April 2020. The study's most striking finding is that electroencephalography, functional magnetic resonance imaging, functional near-infrared spectroscopy, and transcranial doppler ultrasonography are the most frequently used neuroimaging equipment in cognitive load research in multimedia learning. Forty papers were selected depending on the equipment that should be understood in the field of neuroimaging in examining cognitive load in multimedia learning, the benefits and drawbacks of neuroimaging devices, and the experimental protocol for cognitive load in multimedia research. The study's findings were analyzed, and numerous discrepancies in the research on cognitive load and multimedia learning were discovered.
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