The visual complexity of an interface is a crucial factor for usability, since it influences the cognitive load and forms expectations about the subjacent software or system. In this paper we propose a novel method that uses entropy, structure and functions, to calculate the visual complexity of a website. Our method is evaluated against a well known approach of using the file size of color jpeg images for determining visual complexity. Both methods were applied on a dataset consisting of images of 30 different websites. These websites were also evaluated with a web survey. We found a strong correlation for both methods on subjective ratings of visual complexity and structure. This suggests both methods to be reliable for determination of visual complexity. © 2010 Springer-Verlag.
CITATION STYLE
Stickel, C., Ebner, M., & Holzinger, A. (2010). The XAOS metric - Understanding visual complexity as measure of usability. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6389 LNCS, pp. 278–290). https://doi.org/10.1007/978-3-642-16607-5_18
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