This TFG was born from the idea of repeating the web usability studies
carried out by the Norman Nielsen Group in 2009. With the evolution that web pages have undergone from then until now, we saw the need to update these studies. Before such a study can be carried out, the environment and the tool to be used in it must be chosen, and this is where this thesis comes into play. Since all the areas that complete such a study are too many to be dealt with in a single dissertation, the decision was made to divide them up. This is the origin of this work, focused both on the search for the optimal eye-tracking tool and the ideal environment to use it, as well as the work of my colleague Manuel Rincón Martínez, dedicated to the study itself. Therefore, the complementarity of both TFGs complete the approach and repetition, in a smaller form, of what Nielsen did more than 10 years ago. This work is also intended to help those who are looking for an eyetracking tool, through a benchmarking of the free technologies that are available to anyone with a computer, internet and a compatible camera. Therefore, a comparison of all the analyzed tools will be shown, including the mention of the maximum number of relevant features. Thus, a study divided into two main parts is developed throughout this work. The first one covers the comparison between certain eye-tracking tools in order to choose the most suitable one. The second one comprises the search for the ideal combination of parameters to keep in mind for obtaining the best results from the previously chosen tool. From these studies, a great learning and a deep familiarization with the free eye-tracking programs available are obtained. Thanks to this, in this work it is possible to create the appropriate environment to be used for the realization of eye-tracking studies. Specifically, for the search of reading patterns on the web.

Comparative Analysis of  Optical Tracking Systems for the Analysis of Web Reading Patterns

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