Enhanced representation of web pages for usability analysis with eye tracking

Abstract

Eye tracking as a tool to quantify user attention plays a major role in research and application design. For Web page usability, it has become a prominent measure to assess which sections of a Web page are read, glanced or skipped. Such assessments primarily depend on the mapping of gaze data to a Web page representation. However, current representation methods, a virtual screenshot of the Web page or a video recording of the complete interaction session, suffer either from accuracy or scalability issues. We present a method that identifies fixed elements on Web pages and combines user viewport screenshots in relation to fixed elements for an enhanced representation of the page. We conducted an experiment with 10 participants and the results signify that analysis with our method is more efficient than a video recording, which is an essential criterion for large scale Web studies. CCS CONCEPTS • Human-centered computing → Systems and tools for interaction design;

Improving User Experience of Eye Tracking-Based Interaction

“…According to httparchive.org, 9 about 97% of the crawled Web pages make use of dynamic JavaScript requests (statistics from 11th September 2017). The JavaScript requests are especially utilized in the context of Asynchronous JavaScript and XML (AJAX), which allows dynamic addition and change of Web page content via client-server communication when encountering local or remote events [66]. Hence, the visibility, position, and associated functionality of the interaction elements on the Web page can change, affecting the gaze-controlled interaction with these interaction elements.…”