publications([{
   "chapter": 60,
   "bibtype": "article",
   "doi": "https://doi.org/10.1145/3002171",
   "lang": "en",
   "uri": "http://iihm.imag.fr/publication/BLN17a/",
   "title": "Visual Menu Techniques",
   "journal": "ACM Computing Surveys (CSUR)",
   "year": 2017,
   "number": 4,
   "pages": "1-41",
   "volume": 49,
   "id": 772,
   "abbr": "BLN17a",
   "authors": {
      "1": {
         "first_name": "Gilles",
         "last_name": "Bailly"
      },
      "2": {
         "first_name": "Éric",
         "last_name": "Lecolinet"
      },
      "3": {
         "first_name": "Laurence",
         "last_name": "Nigay"
      }
   },
   "date": "2017-01-01",
   "document": "http://iihm.imag.fr/publs/2017/MenUABaillyLecolinetNigay.pdf",
   "type": "Revues internationales avec comité de lecture",
   "abstract": "Menus are used for exploring and selecting commands in interactive applications. They are widespread in current systems and used by a large variety of users. As a consequence, they have motivated many studies in Human-Computer Interaction (HCI). Facing the large variety of menus, it is difficult to have a clear understanding of the design possibilities and to ascertain their similarities and differences. In this article, we address a main challenge of menu design: the need to characterize the design space of menus. To do this, we propose a taxonomy of menu properties that structures existing work on visual menus. As properties have an impact on the performance of the menu, we start by refining performance through a list of quality criteria and by reviewing existing analytical and empirical methods for quality evaluation. This taxonomy of menu properties is a step toward the elaboration of advanced predictive models of menu performance and the optimization of menus. A key point of this work is to focus both on menus and on the properties of menus, to then enable a fine-grained analysis in terms of performance.",
   "type_publi": "irevcomlec"
}]);