EyePoint: Practical Pointing and Selection Using Gaze and Keyboard

Manu Kumar, Andreas Paepcke, Terry Winograd
CHI: ACM Conference on Human Factors in Computing Systems, 2007
We present a practical technique for pointing and selection using a combination of eye gaze and keyboard triggers. EyePoint uses a two-step progressive refinement process fluidly stitched together in a look-press-look-release action, which makes it possible to compensate for the accuracy limitations of the current state-of-the-art eye gaze trackers. While research in gaze-based pointing has traditionally focused on disabled users, EyePoint makes gaze-based pointing effective and simple enough for even able-bodied users to use for their everyday computing tasks. As the cost of eye gaze tracking devices decreases, it will become possible for such gaze-based techniques to be used as a viable alternative for users who choose not to use a mouse depending on their abilities, tasks and preferences.