@article{10902/13275,
year = {2017},
month = {7},
url = {http://hdl.handle.net/10902/13275},
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.},
organization = {This work was partially supported by project PAC::LFO (MTM2014-55262-P) of Ministerio de Ciencia e Innovación (MICINN), Spain. We are grateful to the referees for their constructive input.},
publisher = {MDPI},
publisher = {Sensors, 2017, 17 (7), 1669},
title = {User interaction modeling and profile extraction in interactive systems : a groupware application case study},
author = {Tirnauca, Cristina and Duque Medina, Rafael and Montaña Arnaiz, José Luis},
}