@article{Carneiro_Araújo_Pimenta_Novais_2016, title={Real Time Analytics for Characterizing the Computer User’s State}, volume={5}, url={https://revistas.usal.es/cinco/index.php/2255-2863/article/view/ADCAIJ201654118}, DOI={10.14201/ADCAIJ201654118}, abstractNote={In the last years, the amount of devices that can be connected to a network grew significantly allowing to, among other tasks, collect data about the environment or the people in it in a non-intrusive way. This generated nowadays well-known topics such as Big Data or the Internet of Things. This also opened the door to the development of novel and interesting applications. In this paper we propose a distributed system for acquiring data about the users of technological devices in a non-intrusive way. We describe how this data can be collected and transformed to produce meaningful interaction features, that reveal the state of the individuals. We <span>analyse</span> the requirements of such a system, namely in terms of storage and speed, and describe three prototypes currently being used in three different domains of application.}, number={4}, journal={ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal}, author={Carneiro, Davide and Araújo, Daniel and Pimenta, André and Novais, Paulo}, year={2016}, month={Nov.}, pages={01–18} }