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Sensors 2017, 17(7), 1669; doi:10.3390/s17071669

User Interaction Modeling and Profile Extraction in Interactive Systems: A Groupware Application Case Study

Departamento de Matemáticas, Estadística y Computación, Universidad de Cantabria, 39005 Santander, Spain
This paper is an extended version of our paper published in Ubiquitous Computing and Ambient Intelligence. Volume 10069 of the series Lecture Notes in Computer Science, 2016; pp. 405–418.
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Received: 28 April 2017 / Revised: 26 June 2017 / Accepted: 15 July 2017 / Published: 20 July 2017
(This article belongs to the Special Issue Selected Papers from UCAmI 2016)
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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. View Full-Text
Keywords: human–computer interaction; user modeling; mobile interfaces; weighted automaton; clustering human–computer interaction; user modeling; mobile interfaces; weighted automaton; clustering
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Tîrnăucă, C.; Duque, R.; Montaña, J.L. User Interaction Modeling and Profile Extraction in Interactive Systems: A Groupware Application Case Study. Sensors 2017, 17, 1669.

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