{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T02:00:17Z","timestamp":1762999217159},"reference-count":17,"publisher":"Ediciones Universidad de Salamanca","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ADCAIJ"],"abstract":"<jats:p>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 analyse 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.<\/jats:p>","DOI":"10.14201\/adcaij201654118","type":"journal-article","created":{"date-parts":[[2016,12,16]],"date-time":"2016-12-16T14:24:59Z","timestamp":1481898299000},"page":"01-18","source":"Crossref","is-referenced-by-count":7,"title":["Real Time Analytics for Characterizing the Computer User's State"],"prefix":"10.14201","volume":"5","author":[{"given":"Davide","family":"Carneiro","sequence":"first","affiliation":[]},{"given":"Daniel","family":"Ara\u00fajo","sequence":"additional","affiliation":[]},{"given":"Andr\u00e9","family":"Pimenta","sequence":"additional","affiliation":[]},{"given":"Paulo","family":"Novais","sequence":"additional","affiliation":[]}],"member":"5351","published-online":{"date-parts":[[2016,11,15]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1037\/0021-9010.80.3.339"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.14778\/2367502.2367572"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/ 1978915.1978919"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1145\/248603.248616","article-title":"Bigtable: A Distributed Storage System for Structured Data.","volume-title":"Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation","volume":"7","author":"Chang","year":"2006","unstructured":"Chang, F., Dean, J., Ghemawat, S., Hsieh, W. 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ISBN 978-0544227750."},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1121254109"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1394127.1394128"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/tp.2012.59"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1721654.1721659"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.5116\/ijme.4ed1.d1e0"}],"container-title":["ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal"],"original-title":[],"link":[{"URL":"https:\/\/revistas.usal.es\/index.php\/2255-2863\/article\/download\/ADCAIJ201654118\/15948","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/revistas.usal.es\/index.php\/2255-2863\/article\/download\/ADCAIJ201654118\/15948","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T11:36:22Z","timestamp":1614598582000},"score":1,"resource":{"primary":{"URL":"https:\/\/revistas.usal.es\/index.php\/2255-2863\/article\/view\/ADCAIJ201654118"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,11,15]]},"references-count":17,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2016,12,16]]}},"URL":"https:\/\/doi.org\/10.14201\/adcaij201654118","relation":{},"ISSN":["2255-2863"],"issn-type":[{"value":"2255-2863","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,11,15]]}}}