Abstrakt
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.
Originalsprog | Engelsk |
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Titel | ETRA '16 Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications |
Antal sider | 4 |
Forlag | Association for Computing Machinery |
Publikationsdato | 8 mar. 2016 |
Sider | 295-298 |
ISBN (Trykt) | 978-1-4503-4125-7 |
DOI | |
Status | Udgivet - 8 mar. 2016 |