Visual complexity of web pages: computation and prediction

Date

2024-9-5

Author

Gündeğer, Atakan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

27
views

0
downloads

Cite This

Nowadays, as the use of the Web is widespread, more and more design principles and techniques are introduced for web pages. However, there is no industry standard framework for calculating the perceived visual complexity of web pages used by the developers. Despite this, the concept of perceived visual complexity is crucial at the user’s first glance. Moreover, visual complexity affects the user experience for all people, especially users with disabilities. Different approaches have been proposed in the literature to calculate visual complexity. These range from taking a screenshot of a web page and determining the visual complexity by how big the image file is to automatic score calculation from the HTML Document Model (DOM) and its visual rendering. In this thesis, we first conduct a user study and confirm that the visual complexity score calculated by the VICRAM method is still valid but has inconsis tencies with some complexity levels. We then improve this method by introducing new features, thus having a more accurate visual complexity assessment of the user’s perceived complexity.

Subject Keywords

Visual complexity, Linear regression, Automated tool, Web pages

URI

https://hdl.handle.net/11511/112216

Collections

Northern Cyprus Campus, Thesis