The eye-tracking accuracy of Apple Vision Pro and its impact on perceived usability

The Apple Vision Pro (AVP) represents a shift in mixed reality (MR) interaction by eliminating controllers in favor of gaze- and gesture-based input. However, limited information is available about the AVP eye-tracking specifications because raw gaze data are inaccessible to developers. This study evaluates the eye-tracking accuracy of the AVP using two testing pipelines across MR and virtual reality (VR) environments. This study also examines the relationship between eye-tracking accuracy and user-perceived usability. The tests revealed an overall eye-tracking accuracy of 0.45°–1.06° across the two pipelines, within a field of view (FOV) of approximately 34° × 18°. The usability and learnability scores of the AVP, measured using the System Usability Scale (SUS), were 76.05 and 69.30, respectively. No statistically significant correlation was observed between eye-tracking accuracy and usability scores, suggesting that the AVP was sufficiently accurate across participants to avoid affecting usability during the testing session. Beyond these findings, the testing methods reported in this work provide a practical guide for evaluating eye-tracking accuracy in closed MR/AR systems.

Authors

Institutions

Publication Details

Journal
Virtual Reality
Published
2026-07-24
DOI
https://doi.org/10.1007/s10055-026-01442-y
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The eye-tracking accuracy of Apple Vision Pro and its impact on perceived usability

R Wang, Xicheng Zhang, Xiaoting Duan, Yan Li et al.
Virtual Reality
Gaze Tracking and Assistive Technology
article

The eye-tracking accuracy of Apple Vision Pro and its impact on perceived usability

R Wang, Xicheng Zhang, Xiaoting Duan, Yan Li, Zi Wang, Gancheng Zhu, Zehao Huang
article en

Abstract

The Apple Vision Pro (AVP) represents a shift in mixed reality (MR) interaction by eliminating controllers in favor of gaze- and gesture-based input. However, limited information is available about the AVP eye-tracking specifications because raw gaze data are inaccessible to developers. This study evaluates the eye-tracking accuracy of the AVP using two testing pipelines across MR and virtual reality (VR) environments. This study also examines the relationship between eye-tracking accuracy and user-perceived usability. The tests revealed an overall eye-tracking accuracy of 0.45°–1.06° across the two pipelines, within a field of view (FOV) of approximately 34° × 18°. The usability and learnability scores of the AVP, measured using the System Usability Scale (SUS), were 76.05 and 69.30, respectively. No statistically significant correlation was observed between eye-tracking accuracy and usability scores, suggesting that the AVP was sufficiently accurate across participants to avoid affecting usability during the testing session. Beyond these findings, the testing methods reported in this work provide a practical guide for evaluating eye-tracking accuracy in closed MR/AR systems.

Virtual Reality
Tianmushan Laboratory (CN), Zhejiang University (CN)
Openalex Percentile: Top 6%
Gaze Tracking and Assistive Technology
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.

The eye-tracking accuracy of Apple Vision Pro and its impact on perceived usability — R Wang, Xicheng Zhang, et al. · Virtual Reality (2026) | TGRS Research Map | TGRS