We present an analysis of the eye tracking capabilities of the Meta Quest Pro virtual reality headset using a dataset of eye movement recordings collected from 78 participants. We highlight the potential differences in user experience as a function of device performance using a novel, user-centered evaluation framework for eye tracking signal quality analysis. In addition to presenting classical signal quality metrics such as spatial accuracy and spatial precision, we also explore how spatial accuracy varies across the field of view for different users across the performance range of the device. This work contributes to a growing understanding of eye tracking signal quality in virtual reality platforms, where the usability of gaze-based applications is directly dependent on the quality of the device's eye tracking signal.
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Aziz et al. (2024) studied this question.
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