EyeTTS: Evaluating and Calibrating Eye Tracking for Mixed-Reality Locomotion.

Eye tracking is an increasingly popular method for interacting with AR and measuring user attention. However, implementing and evaluating eye tracking across multiple platforms and use cases can be challenging due to the lack of standardized metrics and measurements. Additionally, existing calibration methods and accuracy measurements often do not account for the common scenarios of walking and scanning in mobile AR settings. To test and compare different eye tracking devices on various AR tasks and metrics, we developed EyeTTS, an eye tracking test suite specifically designed for scenarios involving head movement and locomotion in AR. We conducted user studies on the Magic Leap (n=36, 1 trial per task) and HoloLens 2 (n=54, 2 trials per task) devices to collect data and compare the precision and accuracy of each headset under different movement and reference frame conditions.