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Fuzzy4u : un moteur d’adaptation en logique floue pour l’accessibilité des interfaces

Abstract : With the massive spread of Internet use, the accessibility of interfaces is an ever more pressing need. Much work has been done on this subject in order to define generic or situational accessibility recommendations and propose tools for adapting interfaces. However, difficulties remain, particularly related to the complexity of possible contexts of use, such as the multiplicity of characteristics in the context of use, the imprecision of the values assigned to these characteristics and the combination of multiple adaptation rules. This article shows how a dynamic adaptation engine based on fuzzy logic can be used to implement accessibility recommendations. It shows how this approach makes it possible to overcome the difficulties through fuzzy logic and its management of the combinatorics of rules, making it possible to take into account a potentially complex context of use, which we illustrate with a concrete example.
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Contributor : Tanguy Giuffrida <>
Submitted on : Monday, July 1, 2019 - 7:12:01 PM
Last modification on : Friday, November 20, 2020 - 9:26:09 AM


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  • HAL Id : hal-02170337, version 1




Tanguy Giuffrida, Eric Céret, Sophie Dupuy-Chessa. Fuzzy4u : un moteur d’adaptation en logique floue pour l’accessibilité des interfaces. 2019. ⟨hal-02170337⟩



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