Institute for Web Science and Technologies · Universität Koblenz
Institute WeST

BMBF Project: GazeMining

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Recording, analysis and interpretation of eye tracking and interaction data on dynamic Web content. Approximately one billion Web pages are operated worldwide that want to address specific target groups and are under competitive pressure. Good usability, i. e. simple comprehensibility and intuitive operation, is essential for making information or goods accessible to visitors.

The subject is not only of major importance in marketing and e-commerce. Due to the increasing number of online services offered by government agencies and authorities, usability is also a social issue, as it must also be possible for non-internet-related target groups to use it.

The analysis of eye tracking data, i. e. the eye behavior of users, is employed together with the analysis of interaction data (clicks, mouse movements, typing on the keyboard, scrolling, touch screen interaction) as a meaningful tool to understand user intuition and identify potential for improvement in usability studies. The goal of the research project GazeMining is to capture Web sessions semantically and thus obtain a complete picture of visual content, perception and interaction. The log streams from these usability tests are evaluated using data mining.

The analysis and interpretability of the collected data is made possible by (semi) automatic analysis methods and a user-friendly presentation. The main challenges in this area are the acquisition and analysis of highly dynamic Web page content and a variety of Web technologies and devices. To facilitate the further dissemination of the usability analyses, non-experts will also be enabled to analyze the eye tracking and interaction data. Usability experts of associated partners will accompany the project regarding the subject and will be involved in the development of the system and the evaluation. The market potential of GazeMining is very large, as the online market as well as the awareness of usability and user-centered development processes are constantly growing.


In the paper "Enhanced Representation of Web Pages for Usability Analysis with Eye Tracking" we propose 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. The method is explained in the following video:


  • Operating Time: 01/2018 - 06/2020
  • Source of Funding: KMU-innovativ program by the Federal Ministry of Education and Research of Germany
  • Partner:
  • Web Site:


  • Alumnus