Presentation
Measuring Mental Demand using Pupil Dilation in Augmented Reality Environments
SessionPoster Session 2
DescriptionThis study examines the complex relationship between mental demand and AR learning experiences, with a particular emphasis on pupil dilation as a key indicator of mental demand. While much of the existing research has focused on assessing learning outcomes and user interactions within AR settings, a gap remains in understanding how to measure mental demands during the distinct phases of learning and problem-solving in these immersive environments. In this study, students underwent two phases during AR learning: the first focused on acquiring knowledge in biomechanics (learning), and the second emphasized applying that knowledge (solving). The learning phase demands sustained attention, comprehension, and the integration of new concepts. In contrast, problem-solving requires a higher level of cognitive effort due to the need for analytical reasoning and decision-making. We recorded pupil dilation data to quantify the differences in mental workload between these phases. We used the NASA Task Load Index (NASA TLX) to gather data on students’ perceptions of mental demand. We hypothesize that the learning phase could correlate more strongly with mental demand than the problem-solving phase, as the initial stages of information processing and conceptual understanding typically consume greater cognitive resources.
Contributors
Event Type
Poster
TimeWednesday, October 15th5:30pm - 6:30pm CDT
LocationRiverside East
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