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

Shahram Jalaliniya, Diako Mardanbegi

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-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.
    Original languageEnglish
    Title of host publicationETRA '16 Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications
    Number of pages4
    PublisherAssociation for Computing Machinery
    Publication date8 Mar 2016
    Pages295-298
    ISBN (Print)978-1-4503-4125-7
    DOIs
    Publication statusPublished - 8 Mar 2016

    Keywords

    • Eye tracking
    • Optokinetic Nystagmus eye movements (OKN)
    • eyewear computers
    • scrolling
    • implicit input

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