eMine: Web Page Transcoding Based on Eye Tracking
- Role: Research Assistant/Scholar, June 2012 – December 2013
- Website: http://emine.ncc.metu.edu.tr/index.html
- Abstract: The web has moved from the Desktop and now is ubiquitous. It can be accessed by a small device while the user is mobile
or it can be accessed in audio if the user cannot see the content, for instance visually disabled users who use screen readers.
However, since web pages are mainly designed for visual interaction; it is almost impossible to access them in alternative forms.
Our overarching goal is to improve the user experience in such constrained environments by using a novel application of eye tracking technology.
In brief, by relating scanpaths to the underlying source code of web pages, we aim to transcode web pages such that they are easier to
access in constrained environments. The project is supported by the Scientific and Technological Research Council of Turkey (TUBITAK).
- My Technical Reports: I was solely responsible for the development and evaluation of eMine scanpath algorithm which correlates scanpaths with the underlying source code and identifies their common scanpath on a web page. My technical reports are listed below.
- Sukru Eraslan, Yeliz Yesilada and Simon Harper. eMINE Scanpath Analysis Algorithm. University of Manchester and Middle East Technical University Northern Cyprus Campus, Technical Report, 2013.
- Sukru Eraslan, Yeliz Yesilada and Simon Harper. Correlation Between Scanpaths and Visual Elements of Web Pages. University of Manchester and Middle East Technical University Northern Cyprus Campus, Technical Report, 2013.