Scrolling for navigation on small-screen devices (e.g. smartphones) has its own usability and inefficiency problems which can be even more challenging on eyewear computers. Scrolling between menu items is still the dominant method of exploring content in smart glasses. However, this manual mechanism can be cumbersome for users of wearable computers in most situations. An alternative approach is to use eye-based techniques for hands-free interaction with scrolling contents in eyewear computers.  EyeGrip looks at the Optokinetic Nystagmus (OKN) eye movements to detect object of interest among a set of scrolling contents and automatically stops scrolling for the user.

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3. Mardanbegi, Diako and Jalaliniya, Shahram and Gellersen, Hans-Werner Georg and Crawford, Trevor Jeremy and Sawyer, Peter Harvey. “EyeGrip as a tool for assessing dementia”. In: 19th European Conference on Eye Movements, 2017-08-20 to 2017-08-24, Bergische Universität Wuppertal, 2017.