Estamos realizando la búsqueda. Por favor, espere...
1446
37
174
31614
4642
2689
362
417
Abstract: Abstract A relevant goal in human-computer interaction is to produce applications that are easy to use and well-adjusted to their users' needs. To address this problem it is important to know how users interact with the system. This work constitutes a methodological contribution capable of identifying the context of use in which users perform interactions with a groupware application (synchronous or asynchronous) and provides, using machine learning techniques, generative models of how users behave. Additionally, these models are transformed into a text that describes in natural language the main characteristics of the interaction of the users with the system.
Fuente: Sensors, 2017, 17 (7), 1669
Editorial: MDPI
Fecha de publicación: 20/07/2017
Nº de páginas: 15
Tipo de publicación: Artículo de Revista
DOI: http://dx.doi.org/10.3390/s17071669
ISSN: 1424-8220
Proyecto español: MTM2014-55262-P
SCOPUS
Citas
Google Scholar
Métricas
Repositorio UCrea Leer publicación
CRISTINA TIRNAUCA
RAFAEL DUQUE MEDINA
JOSE LUIS MONTAÑA ARNAIZ
Volver