Abstract | ||
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Studies of visual attention during web-browsing belong to long standing applications of eye-tracking. Before researchers can analyze characteristics of visual attention, they often have to manually annotate each Area of Interest (AOI) at the web page. The longer, more complex, and dynamic the web pages are, the more time the researcher spends on creating the bounding box around each AOI. To speed up this process, we designed a browser extension that automatically extracts coordinates of visible web elements at the page as the user interacts with the page, along with the mouse activity. In our case study, the WTP automatically annotated all web elements, mouse clicks and mouse movements, and we linked the annotations with the stream of eye-tracking data. As a demonstration, we report on distribution of fixations over specific web elements during daily browsing activities. To our knowledge, this is a first tool that supports real-time automatic annotations of dynamic web-content, with a particular fit for eye-tracking research.
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Year | DOI | Venue |
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2016 | 10.1145/2968219.2968338 | UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Heidelberg
Germany
September, 2016 |
Keywords | Field | DocType |
AOI, web-tracking, eye-tracking, mouse tracking | World Wide Web,Fixation (psychology),Web page,Computer science,Web tracking,Human–computer interaction,Eye tracking,Mouse tracking,Plug-in,Multimedia,Minimum bounding box,Speedup | Conference |
ISBN | Citations | PageRank |
978-1-4503-4462-3 | 0 | 0.34 |
References | Authors | |
11 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Duc Nguyen | 1 | 0 | 0.34 |
Hana Vrzakova | 2 | 62 | 11.41 |
Roman Bednarik | 3 | 561 | 48.77 |