Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/50557

TitleLearning frequent behaviors patterns in intelligent environments for attentiveness level
Author(s)Durães, Dalila
Cardoso, Catarina
Bajo, Javier
Novais, Paulo
KeywordsAttention
User behavior
Ambient intelligent system
Issue date2017
PublisherSpringer
JournalAdvances in Intelligent Systems and Computing
CitationDurães D., Cardoso C.,Bajo J., Novais P., Learning Frequent Behaviors Patterns in Intelligent Environments for Attentiveness Level, Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017, Springer - Advances in Intelligent Systems and Computing, Vol 619, ISSN 2194-5357, ISBN 978-3-319-61577-6, pp 139-147, 2017. https://doi.org/10.1007/978-3-319-61578-3_13
Abstract(s)Nowadays, when it comes to achieving goals in business environments or educational environments, the performance successfully has an important role in performing a task. However, this performance can be affected by several factors. One of the most common is the lack of attention. The individual’s attention in performing a task can be determinant for the final quality or even at the task’s conclusion. In this paper is intended to design a solution that can reduce or even eliminate the lack of attention on performing a task. The idea consist on develop an architecture that capture the user behavior through the mouse and keyboard usage. Furthermore, the system will analyze how the devices are used.
TypeConference paper
URIhttp://hdl.handle.net/1822/50557
ISBN978-3-319-61577-6
DOI10.1007/978-3-319-61578-3_13
ISSN2194-5357
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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