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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 language | English |
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Title of host publication | ETRA '16 Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications |
Number of pages | 4 |
Publisher | Association for Computing Machinery |
Publication date | 8 Mar 2016 |
Pages | 295-298 |
ISBN (Print) | 978-1-4503-4125-7 |
DOIs | |
Publication status | Published - 8 Mar 2016 |
Keywords
- Eye tracking
- Optokinetic Nystagmus eye movements (OKN)
- eyewear computers
- scrolling
- implicit input
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Dive into the research topics of 'Seamless interaction with scrolling contents on eyewear computers using optokinetic nystagmus eye movements'. Together they form a unique fingerprint.Projects
- 1 Finished
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iCareNet: Intelligent Context-Aware Systems for Healthcare, Wellness, and Assisted Living
Bardram, J. (PI), Houben, S. (CoI), Pederson, T. (CoI) & Jalaliniya, S. (CoI)
01/01/2011 → 31/12/2014
Project: Research