Eye Tracking for Low Vision

We conducted a retrospective think-aloud study using eye tracking with 20 low vision participants and 20 sighted controls. Participants completed various image-viewing tasks and watched the playback of their gaze trajectories to reflect on their visual experiences. Based on the study, we derived a visual intent taxonomy with five visual intents characterized by participants’ gaze behaviors. We demonstrated the difference between low vision and sighted participants’ gaze behaviors and how visual ability affected low vision participants’ gaze patterns across visual intents.

GazePrompt is a gaze-aware reading aid that provides timely and targeted visual and audio augmentations for people with low vision based on users’ gaze behaviors (Wang et al. 2024)

We collected the gaze data of 20 low vision participants and 20 sighted controls who performed reading tasks on a computer screen to thoroughly explore their challenges in reading based on their gaze behaviors and compare gaze data quality between low vision and sighted people (Wang et al. 2023).