Abstract
In this paper, a novel methodology for selecting appropriate color scheme for a web site is presented. The methodology uses a machine learning algorithm for generating a network that relates the color model of a web site with the emotional values that are attributed to it by its users. The approach involves an empirical study to collect data, used to train the algorithm. A preliminary case study has been conducted to validate the applicability of the methodology. Description of the framework and of a set of tools that were built to support the methodology is also included.
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Papachristos, E., Tselios, N., Avouris, N. (2005). Inferring Relations Between Color and Emotional Dimensions of a Web Site Using Bayesian Networks. In: Costabile, M.F., Paternò, F. (eds) Human-Computer Interaction - INTERACT 2005. INTERACT 2005. Lecture Notes in Computer Science, vol 3585. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11555261_108
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DOI: https://doi.org/10.1007/11555261_108
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