Alessa Mohamed
This research presents a comprehensive neurophysiological evaluation of cognitive load in the context of Augmented Reality (AR) interactions within diverse industrial maintenance and assembly tasks. We examine how AR technology impacts cognitive load by analyzing physiological responses and cognitive performance metrics. Our study employs a range of neurophysiological measurements, including electroencephalography, heart rate variability, and eye-tracking, to assess cognitive load variations during AR interactions. Findings reveal nuanced insights into the relationship between AR technology and cognitive load, shedding light on its potential benefits and challenges in real-world industrial applications.
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