Measuring eye-tracking accuracy and its impact on usability in apple vision pro
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866916356290510848 |
|---|---|
| author | Huang, Zehao Zhu, Gancheng Duan, Xiaoting Wang, Rong Li, Yongkai Zhang, Shuai Wang, Zhiguo |
| author_facet | Huang, Zehao Zhu, Gancheng Duan, Xiaoting Wang, Rong Li, Yongkai Zhang, Shuai Wang, Zhiguo |
| contents | 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° and 0.93° in two testing setups, within a field of view (FOV) of approximately 34° x 18°. 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_00255 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Measuring eye-tracking accuracy and its impact on usability in apple vision pro Huang, Zehao Zhu, Gancheng Duan, Xiaoting Wang, Rong Li, Yongkai Zhang, Shuai Wang, Zhiguo Human-Computer Interaction 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° and 0.93° in two testing setups, within a field of view (FOV) of approximately 34° x 18°. 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. |
| title | Measuring eye-tracking accuracy and its impact on usability in apple vision pro |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2406.00255 |