Seamless interaction with scrolling contents on eyewear computers using optokinetic nystagmus eye movements

Shahram Jalaliniya, Diako Mardanbegi

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

    Abstract

    In this paper we investigate the utility of an eye-based interaction technique (EyeGrip) for seamless interaction with scrolling contents on eyewear computers. EyeGrip uses Optokinetic Nystagmus (OKN) eye movements to detect object of interest among a set of scrolling contents and automatically stops scrolling for the user. We empirically evaluated the usability of EyeGrip in two different applications for eyewear computers: 1) a menu scroll viewer and 2) a Facebook newsfeed reader. The results of our study showed that the EyeGrip technique performs as good as keyboard which has long been a well-known input device. Moreover, the accuracy of the EyeGrip method for menu item selection was higher while in the Facebook study participants found keyboard more accurate.
    OriginalsprogEngelsk
    TitelETRA '16 Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications
    Antal sider4
    ForlagAssociation for Computing Machinery
    Publikationsdato8 mar. 2016
    Sider295-298
    ISBN (Trykt)978-1-4503-4125-7
    DOI
    StatusUdgivet - 8 mar. 2016

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