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arXiv · 2406.00255

Measuring eye-tracking accuracy and its impact on usability in apple vision pro

Zehao Huang·Gancheng Zhu·Xiaoting Duan·Rong Wang·Yongkai Li·Shuai Zhang·Zhiguo Wang
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Abstract

With built-in eye-tracking cameras, the recently released Apple Vision Pro (AVP) mixed reality (MR) headset features gaze-based interaction, eye image rendering on external screens, and iris recognition for device unlocking. One of the technological advancements of the AVP is its heavy reliance on gaze- and gesture-based interaction. However, limited information is available regarding the technological specifications of the eye-tracking capability of the AVP, and raw gaze data is inaccessible to developers. This study evaluates the eye-tracking accuracy of the AVP with two sets of tests spanning both MR and virtual reality (VR) applications. This study also examines how eye-tracking accuracy relates to user-reported usability. The results revealed an overall eye-tracking accuracy of 1.11{\deg} and 0.93{\deg} in two testing setups, within a field of view (FOV) of approximately 34{\deg} x 18{\deg}. The usability and learnability scores of the AVP, measured using the standard System Usability Scale (SUS), were 75.24 and 68.26, respectively. Importantly, no statistically reliable correlation was found between eye-tracking accuracy and usability scores. These results suggest that eye-tracking accuracy is critical for gaze-based interaction, but it is not the sole determinant of user experience in VR/AR.

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Zehao Huang, Gancheng Zhu, Xiaoting Duan, Rong Wang, Yongkai Li, Shuai Zhang, Zhiguo Wang. 2024-06-01. Measuring eye-tracking accuracy and its impact on usability in apple vision pro. https://arxiv.org/abs/2406.00255

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