Evaluation of Eye Tracking Signal Quality for Virtual Reality Applications: A Case Study in the Meta Quest Pro
<|reference_start|>Evaluation of Eye Tracking Signal Quality for Virtual Reality Applications: A Case Study in the Meta Quest Pro: We present an extensive, in-depth 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. In addition to presenting classical signal quality metrics--spatial accuracy, spatial precision and linearity--in ideal settings, we also study the impact of background luminance and headset slippage on device performance. We additionally present a user-centered analysis of eye tracking signal quality, where we highlight the potential differences in user experience as a function of device performance. This work contributes to a growing understanding of eye tracking signal quality in virtual reality headsets, where the performance of applications such as gaze-based interaction, foveated rendering, and social gaze are directly dependent on the quality of eye tracking signal.<|reference_end|>
@article{aziz2024evaluation,
    title={Evaluation of Eye Tracking Signal Quality for Virtual Reality
  Applications: A Case Study in the Meta Quest Pro},
    author={Samantha Aziz, Dillon J Lohr, Lee Friedman, Oleg Komogortsev},
    journal={arXiv preprint arXiv:2403.07210},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.07210},
    primaryClass={cs.HC}
}