Our objective is to use eye tracking data to generate an algorithm for identifying people’s scanpaths and relating those scanpaths to elements of Web pages, such that Web pages can be transcoded to improve the user experience in constrained environments. In order to achieve that objective, eMine has four aims:
- Identify visual elements of Web pages automatically by using the underlying source code. In our previous work, we have developed a framework that can be used to identify visual elements of Web pages. This aim focuses on automating that process.
- Develop a novel algorithm to identify scanpaths in terms of visual elements of Webpages. “String-edit” algorithm is widely used to analyse people’s scanpaths in given eye tracking data. Even though this algorithm has been successfully applied to Web pages, these studies use images of Web pages and none of them has investigated the relationship between scanpaths, visual elements of Web pages and the underlying source code. This aim focuses on developing a new algorithm based on “String-edit” that can be used to identify scanpaths in terms of visual elements of Web pages.
- Develop novel transcoding techniques based on our new algorithm. Even though various transcoding techniques have been researched, to our knowledge none of these techniques use eye tracking data to transcode Web pages. This aim focuses on developing novel transcoding techniques based on our new algorithm that identifies scanpaths in terms of visual elements of Web pages.
- Demonstrate that the proposed transcoding techniques improve the user experience in constrained environments. Even though we can technically transcode Web pages, we still need to demonstrate that the proposed techniques improve the user experience and therefore that is the focus of this aim.
Visual Blocks
Eye Tracking Fixations
Transcoded Page