<TEI xmlns="http://www.tei-c.org/ns/1.0"><teiHeader><fileDesc><titleStmt><title>Episciences.org TEI export of jips:5957 - JIPS - Journal d'Interaction Personne-Système, 2019-12-08, Issue 1, Special issue : the best of IHM'2018</title></titleStmt><publicationStmt><distributor>CCSD - Episciences</distributor><availability status="restricted"><licence target="https://about.hal.science/hal-authorisation-v1">Hal authorisation v1</licence></availability><date when="2019-12-08"/></publicationStmt><sourceDesc><p>Episciences.org API platform</p></sourceDesc></fileDesc></teiHeader><text><body><listBibl><biblFull><titleStmt><title xml:lang="en">Fuzzy4U: A fuzzy logic adaptation engine for interfaces' accessibility</title><title xml:lang="fr">Fuzzy4U : un moteur d’adaptation en logique floue pour l’accessibilité des interfaces utilisateurs</title><author role="aut"><persName><forename type="first">Tanguy</forename><surname>Giuffrida</surname></persName><email/><affiliation ref="#struct-0"/></author><author role="aut"><persName><forename type="first">Eric</forename><surname>Céret</surname></persName><email/><affiliation ref="#struct-0"/></author><author role="aut"><persName><forename type="first">Sophie</forename><surname>Dupuy-Chessa</surname></persName><email/><affiliation ref="#struct-0"/></author><author role="aut"><persName><forename type="first">Jean-Philippe</forename><surname>Poli</surname></persName><email/><idno type="ORCID">0000-0003-2429-6187</idno><affiliation ref="#struct-1"/><affiliation ref="#struct-2"/></author></titleStmt><editionStmt><edition><date type="whenSubmitted">2019-12-07 17:06:48</date><date type="whenProduced">2019-12-08 07:08:01</date><ref type="file" target="http://jips.episciences.org/5957/pdf"/></edition><respStmt><resp>contributor</resp><name key="753093"><persName><forename>Tanguy</forename><surname>Giuffrida</surname></persName><email>tanguy.giuffrida@univ-grenoble-alpes.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="id">jips:5957</idno><idno type="url">http://jips.episciences.org/5957</idno><idno type="ref">jips:5957 - JIPS - Journal d'Interaction Personne-Système, 2019-12-08, Issue 1, Special issue : the best of IHM'2018</idno><licence target="https://about.hal.science/hal-authorisation-v1">Hal authorisation v1</licence></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Fuzzy4U: A fuzzy logic adaptation engine for interfaces' accessibility</title><title xml:lang="fr">Fuzzy4U : un moteur d’adaptation en logique floue pour l’accessibilité des interfaces utilisateurs</title><author role="aut"><persName><forename type="first">Tanguy</forename><surname>Giuffrida</surname></persName><email/><affiliation ref="#struct-0"/></author><author role="aut"><persName><forename type="first">Eric</forename><surname>Céret</surname></persName><email/><affiliation ref="#struct-0"/></author><author role="aut"><persName><forename type="first">Sophie</forename><surname>Dupuy-Chessa</surname></persName><email/><affiliation ref="#struct-0"/></author><author role="aut"><persName><forename type="first">Jean-Philippe</forename><surname>Poli</surname></persName><email/><idno type="ORCID">0000-0003-2429-6187</idno><affiliation ref="#struct-1"/><affiliation ref="#struct-2"/></author></analytic><monogr><idno type="HAL">hal-02390539</idno><idno type="issn">2418-1838</idno><title level="j">JIPS - Journal d'Interaction Personne-Système</title><imprint><publisher>Association Francophone d’Interaction Homme-Machine (AFIHM)</publisher><pubPlace>Grenoble, France</pubPlace><biblScope unit="volume">Issue 1, Special issue : the best of IHM'2018</biblScope><date type="datePub">2019-12-08T07:08:01+01:00</date></imprint></monogr><idno type="doi">10.46298/jips.5957</idno></biblStruct></sourceDesc><profileDesc><langUsage><language ident="fr">French</language></langUsage><textClass><keywords scheme="author"><term>User Interface adaptation</term><term>Fuzzy logic</term><term>artificial intelligence</term><term>Accessibility</term><term>Context of use</term><term>Adaptation rules</term><term>Adaptation d'Interface Utilisateur</term><term>Logique floue</term><term>Accessibilité</term><term>Contexte d'usage</term><term>Règles d'adaptation</term><term>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)</term><term>[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]</term></keywords></textClass><abstract><p>International audience</p></abstract><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><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></abstract></profileDesc></biblFull></listBibl></body><back><listOrg><org xml:id="struct-0"><idno type="ROR">https://ror.org/01c8rcg82</idno><orgName>Laboratoire d'Informatique de Grenoble</orgName></org><org xml:id="struct-1"><orgName>Intelligence Artificielle et Apprentissage Automatique (CEA, LIST)</orgName></org><org xml:id="struct-2"><orgName>Intelligence Artificielle et Apprentissage Automatique</orgName></org></listOrg></back></text></TEI>