User interaction modeling and profile extraction in interactive systems : a groupware application case study

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.

Otras publicaciones de la misma revista o congreso con autores/as de la Universidad de Cantabria

 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