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Measuring Cognitive Workload in Augmented Reality Learning Environments Through Pupil Area Analysis

  • Siddarth Mohanty,
  • Jung Hyup Kim,
  • Varun Pulipati,
  • Fang Wang,
  • Sara Mostowfi,
  • Danielle Oprean,
  • Yi Wang,
  • Kangwon Seo

摘要

In the digital learning landscape, Augmented Reality (AR) is revolutionizing instructional methodologies. This study shifts focus to explore the impact of AR-based lectures on pupil dilation as a biomarker of mental demand. By analyzing pupil dilation with cognitive load assessment tools like the NASA Task Load Index, we aim to understand the cognitive implications of prolonged exposure to AR in educational settings. We hypothesize that variations in pupil size can be indicative of cognitive load, correlating with the mental demands imposed by AR lectures. Preliminary findings suggest a significant relationship between increased pupil dilation and heightened mental workload during AR engagements. This study highlights the new way to measure cognitive workload in AR environments using pupil dilation data.