<article xmlns:xlink="http://www.w3.org/1999/xlink" xml:lang="fr"><front><journal-meta><journal-id journal-id-type="publisher">episciences.org</journal-id><journal-id journal-id-type="issn" specific-use="electronic">2418-1838</journal-id><journal-title-group><journal-title>JIPS - Journal d'Interaction Personne-Système</journal-title><abbrev-journal-title>JIPS</abbrev-journal-title></journal-title-group><issn specific-use="electronic">2418-1838</issn><publisher><publisher-name>Association Francophone d’Interaction Homme-Machine (AFIHM)</publisher-name><publisher-loc>                                            Grenoble, France                                        <email>support@episciences.org</email>                    <uri>https://www.episciences.org</uri>                    <uri>https://jips.episciences.org</uri>                </publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.46298/jips.5957</article-id><article-id pub-id-type="hal">hal-02390539</article-id><article-id pub-id-type="publisher-id">http://jips.episciences.org/5957</article-id><title-group><article-title xml:lang="en">Fuzzy4U: A fuzzy logic adaptation engine for interfaces' accessibility</article-title><trans-title-group xml:lang="fr"><trans-title>Fuzzy4U : un moteur d’adaptation en logique floue pour l’accessibilité des interfaces utilisateurs</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name><surname>Giuffrida</surname><given-names>Tanguy</given-names></name><institution-wrap><institution><institution_id type="ror">https://ror.org/01c8rcg82</institution_id><institution_name>Laboratoire d'Informatique de Grenoble</institution_name></institution></institution-wrap></contrib><contrib contrib-type="author"><name><surname>Céret</surname><given-names>Eric</given-names></name><institution-wrap><institution><institution_id type="ror">https://ror.org/01c8rcg82</institution_id><institution_name>Laboratoire d'Informatique de Grenoble</institution_name></institution></institution-wrap></contrib><contrib contrib-type="author"><name><surname>Dupuy-Chessa</surname><given-names>Sophie</given-names></name><institution-wrap><institution><institution_id type="ror">https://ror.org/01c8rcg82</institution_id><institution_name>Laboratoire d'Informatique de Grenoble</institution_name></institution></institution-wrap></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">0000-0003-2429-6187</contrib-id><name><surname>Poli</surname><given-names>Jean-Philippe</given-names></name><institution-wrap><institution><institution_name>Intelligence Artificielle et Apprentissage Automatique</institution_name></institution><institution><institution_name>Intelligence Artificielle et Apprentissage Automatique (CEA, LIST)</institution_name></institution></institution-wrap></contrib></contrib-group><pub-date pub-type="epub"><day>08</day><month>12</month><year>2019</year></pub-date><volume>Issue 1, Special issue : the best of IHM'2018</volume><uri specific-use="for-review">http://jips.episciences.org/5957/pdf</uri><self-uri>http://jips.episciences.org/5957</self-uri><abstract xml:lang="en"><p>With the massive spread of Internet use, the accessibility of user interfaces (UI) is an ever more pressing need. Much work has been developed on this subject in order to define generic or situational accessibility recommendations and to propose tools for user interface adaptation. However, difficulties remain, particularly related to the complexity of possible contexts of use, such as the multiplicity of characteristics of 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. We show how this approach makes it possible to overcome these difficulties through fuzzy logic with the capacity to manage combinatorial rules, making it possible to take into account potentially complex contexts of use. This approach is illustrated with a concrete example.</p></abstract><trans-abstract xml:lang="fr"><p>Avec la diffusion massive de l'utilisation d'Internet, l'accessibilité des interfaces est un besoin toujours plus prégnant. De nombreux travaux se sont penchés sur ce sujet afin de définir des recommandations d'accessibilité génériques ou situationnelles, et proposer des outils d'adaptation des interfaces utilisateurs. Cependant, des difficultés, notamment liées à la complexité des contextes d'usage possibles, demeurent tels que la multiplicité des caractéristiques du contexte d'usage, l'imprécision des valeurs attribuées à ces caractéristiques et la combinaison de multiples règles d'adaptation. Cet article montre comment un moteur d'adaptation dynamique basé sur la logique floue peut être utilisé pour implémenter les préconisations en accessibilité. Il montre comment cette approche permet de dépasser ces verrous grâce à la logique floue et sa gestion de la combinatoire des règles, permettant de prendre en compte un contexte d'usage potentiellement complexe que nous illustrons avec un exemple concret.</p></trans-abstract><kwd-group kwd-group-type="author" xml:lang="fr"><kwd>User Interface adaptation</kwd><kwd>Fuzzy logic</kwd><kwd>artificial intelligence</kwd><kwd>Accessibility</kwd><kwd>Context of use</kwd><kwd>Adaptation rules</kwd><kwd>Adaptation d'Interface Utilisateur</kwd><kwd>Logique floue</kwd><kwd>Accessibilité</kwd><kwd>Contexte d'usage</kwd><kwd>Règles d'adaptation</kwd><kwd>ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g., HCI)/H.5.2: User Interfaces/H.5.2.4: Graphical user interfaces (GUI)</kwd><kwd>[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]</kwd></kwd-group><permissions><copyright-year>2019</copyright-year><copyright-holder>The Author(s)</copyright-holder><license license-type="open-access" xlink:href="https://about.hal.science/hal-authorisation-v1"/></permissions><counts><page-count count="34"/></counts></article-meta></front><body/></article>