Gaze-guided Magnification for Individuals with Vision Impairments

Natalie Maus, Dalton Rutledge, Sedeeq Al-khazraji, Reynold Bailey, Cecilia Ovesdotter Alm, Kristen Shinohara

Abstract: Video-based eye trackers increasingly have potential to improve on-screen magnification for low-vision computer users. Yet, little is known about the viability of eye tracking hardware for gaze-guided magnification. We employed a magnification prototype to assess eye tracking quality for low-vision users as they performed reading and search tasks. We show that a high degree of tracking loss prevents current video-based eye tracking from capturing gaze input for low-vision users. Our findings show current technologies were not made with low vision users in mind, and we offer suggestions to improve gaze-tracking for diverse eye input.