publications([{
   "lang": "en",
   "publisher": "Hermès",
   "doi": "https://doi.org/10.3166/isi.22.4.129-157",
   "uri": "http://iihm.imag.fr/publication/GDC18a/",
   "title": "Model based self-explanatory user interfaces",
   "bibtype": "article",
   "journal": "Ingénierie des Systèmes d'Information",
   "year": 2018,
   "number": 4,
   "pages": "129-157",
   "volume": 22,
   "editor": "Elena Kornyshova, Marco Winckler",
   "authors": {
      "1": {
         "first_name": "Alfonso",
         "last_name": "Garcia Frey"
      },
      "2": {
         "first_name": "Sophie",
         "last_name": "Dupuy-Chessa"
      },
      "3": {
         "first_name": "Gaëlle",
         "last_name": "Calvary"
      }
   },
   "id": 824,
   "type": "Revues nationales avec comité de lecture",
   "abstract": "UserinterfacesplayanimportantroleinInformationSystems,particularlyfortheir acceptance. But in Human Computer Interaction, perfect quality is an utopia. Despite all the design efforts, there are always situations the user interface is not suitable for: this claims for quality reparation. This paper explores self-explanatory user interfaces, i.e. user interfaces capable of “rephrasing” themselves so that to make them understandable by the user. The approach follows the principles of model-driven engineering. It consists of keeping design de- cisions contained in models alive at runtime so that to dynamically enrich the user interface by augmenting it with a set of possible questions and answers. Based on a problem space, this article details how to support self-explanation for free thanks to models. It also proposes a soft- ware infrastructure UsiExplain based on the UsiXML meta-models. An evaluation is conducted on a case study related to a car shopping website. It confirms that the approach is relevant especially for usage questions.",
   "type_publi": "revcomlec",
   "abbr": "GDC18a"
}]);