Analysis of Eye Tracking Data: Supporting Vision Screening with Eye Tracking Technologies

Abstract

Interpreting gaze measurements for individual tasks, such as saccades, fixations, and smooth pursuits can be challenging for vision screening tasks on a computer screen. To address this challenge, we propose a data analysis pipeline by aligning recent approaches from vision research and computation. A pipeline gets raw eye-tracking data and provides comprehensive gaze metrics measurements and visual representation (scan path and heatmap) to give insights into ocular behaviour for vision screening tasks. Our preliminary studies have focused on current trends, challenges, and eye-tracking technologies for supporting the vision screening of children. This approach is important for providing a conceptual framework for gaze analysis aiming to support vision experts.