Accuracy Assessment of ARKit 2-Based Gaze Estimation
Published in Paper presented at the International Conference on Human-Computer Interaction, July 2020, 2020
Greinacher, R. & Voigt-Antons, J.-N.
This paper benchmarks the accuracy of ARKit 2’s camera-based gaze estimation for common interaction distances and lighting settings. We measure angular error, stability, and drift against a reference eye tracker and analyze implications for selection, reading, and attention-aware UI. The results provide practical thresholds and calibration advice for deploying gaze-enabled AR on commodity devices.
Recommended citation: Greinacher, R. & Voigt-Antons, J.-N. (2020, July). Accuracy Assessment of ARKit 2-Based Gaze Estimation. Paper presented at the International Conference on Human-Computer Interaction. https://doi.org/10.1007/978-3-030-49059-1_32