Linking Pupillary Dynamics to Cognitive Workload in Augmented Reality

This study investigates how Augmented Reality (AR) instruction affects learners’ cognitive workload by tracking pupil size and comparing it with NASA-TLX scores. Participants used AR modules on biomechanics while wearing a head-mounted display and eye-tracking glasses, which recorded their pupil responses during both study and problem-solving. The results showed that pupil size increased when students recalled previously learned information. However, it decreased when they applied their knowledge to more complex concepts. This means cognitive workload changes at different stages of instruction. The research provides a reliable and non-intrusive way to measure workload in head-mounted AR environments. Since only some AR modules show a clear link between cognitive workload and pupil responses, and not all AR learning does, AR systems should adapt to each stage of learning. These results support designing AR systems that can adjust in real time when they notice signs of cognitive strain.

Authors

Institutions

Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2026-09-04
DOI
https://doi.org/10.1177/10711813261485889
Primary Topic
Augmented Reality Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Linking Pupillary Dynamics to Cognitive Workload in Augmented Reality

Jung Hyup Kim, Siddarth Mohanty
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Augmented Reality Applications
article

Linking Pupillary Dynamics to Cognitive Workload in Augmented Reality

Jung Hyup Kim, Siddarth Mohanty
article en

Abstract

This study investigates how Augmented Reality (AR) instruction affects learners’ cognitive workload by tracking pupil size and comparing it with NASA-TLX scores. Participants used AR modules on biomechanics while wearing a head-mounted display and eye-tracking glasses, which recorded their pupil responses during both study and problem-solving. The results showed that pupil size increased when students recalled previously learned information. However, it decreased when they applied their knowledge to more complex concepts. This means cognitive workload changes at different stages of instruction. The research provides a reliable and non-intrusive way to measure workload in head-mounted AR environments. Since only some AR modules show a clear link between cognitive workload and pupil responses, and not all AR learning does, AR systems should adapt to each stage of learning. These results support designing AR systems that can adjust in real time when they notice signs of cognitive strain.

Proceedings of the Human Factors and Ergonomics Society Annual Meeting
University of Missouri (US)
Quality Education
Openalex Percentile: Top 12%
Augmented Reality Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Linking Pupillary Dynamics to Cognitive Workload in Augmented Reality — Jung Hyup Kim, Siddarth Mohanty · Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2026) | TGRS Research Map | TGRS