Quantifying the Impact of Motion on 2D Gaze Estimation in Real-World Mobile Interactions
The research investigated how user movement and behavior affect 2D gaze estimation using a front-facing camera on mobile devices. They found that head distance, head pose, and device orientation are critical factors influencing accuracy. Dynamic movements like walking or task switching significantly increase estimation errors compared to static use, highlighting the need for systems that explicitly model these changes.