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

June 01, 2024 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Zehao Huang, Gancheng Zhu, Xiaoting Duan, Rong Wang, Yongkai Li, Shuai Zhang, Zhiguo Wang arXiv ID 2406.00255 Category cs.HC: Human-Computer Interaction Citations 8 Venue arXiv.org Last Checked 4 months ago
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 1.11Β° and 0.93Β° in two testing setups, within a field of view (FOV) of approximately 34Β° x 18Β°. 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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