publications([{
   "lang": "en",
   "publisher": "ACM",
   "type_publi": "autre",
   "title": "Toward a generic architecture for UI adaptation to emotions",
   "url": "https://hal.archives-ouvertes.fr/hal-01578221",
   "abstract": "Adapting at runtime user interfaces is a well-known requirement in human computer interaction\r\nwhich becomes a very challenging task when taking into account dynamic user properties such as\r\nemotions. To address the question of adapting user interfaces to emotions, we propose Perso2u is an\r\narchitecture to personalize user interfaces with user emotions at runtime. This approach relies on\r\nemotion recognition tools which raises the question of accuracy This paper aims at showing that it is\r\npossible to obtain similar emotion results from several tools based on face recognition to emphasize\r\nthe independence of the emotion inferring engine and more globally of the architecture. To achieve\r\nthis goal, this paper reports on the results of an experiment to compare three emotion detection tools.",
   "authors": {
      "1": {
         "first_name": "Julián Andrés",
         "last_name": "Galindo"
      },
      "2": {
         "first_name": "Éric",
         "last_name": "Céret"
      },
      "3": {
         "first_name": "Sophie",
         "last_name": "Dupuy-Chessa"
      }
   },
   "year": 2017,
   "uri": "http://iihm.imag.fr/publication/GCD17a/",
   "pages": "10",
   "bibtype": "unpublished",
   "id": 795,
   "abbr": "GCD17a",
   "address": "Poitiers, France",
   "date": "2017-08-31",
   "document": "http://iihm.imag.fr/publs/2017/julianGalindo-Word-IHM-TeC-2017_final.pdf",
   "type": "Autres publications",
   "booktitle": "IHM'2017"
}]);