Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/52379

TitleEUStress: A human behaviour analysis system for monitoring and assessing stress during exams
Author(s)Gonçalves, Filipe Manuel
Carneiro, Davide Rua
Novais, Paulo
Pêgo, José M.
KeywordsBig data mining
Decision making
Human-computer interaction
Mouse Dynamics
Stress
Issue date2018
PublisherSpringer-Verlag
JournalStudies in Computational Intelligence
CitationGonçalves, F., Carneiro, D., Novais, P., & Pêgo, J. (2017, October). EUStress: A Human Behaviour Analysis System for Monitoring and Assessing Stress During Exams. In International Symposium on Intelligent and Distributed Computing (pp. 137-147). Springer, Cham
Abstract(s)In today’s society, there is a compelling need for innovative approaches for the solution of many pressing problems, such as understanding the fluctuations in the performance of an individual when involved in complex and high-stake tasks. In these cases, individuals are under an increasing demand for performance, driving them to be under constant pressure, and consequently to present variations in their levels of stress. Human stress can be viewed as an agent, circumstance, situation, or variable that disturbs the normal functioning of an individual, that when not managed can bring mental problems, such as chronic stress or depression. In this paper, we propose a different approach for this problem. The EUStress application is a non-intrusive and non-invasive performance monitoring environment based on behavioural biometrics and real time analysis, used to quantify the level of stress of individuals during online exams.
TypeConference paper
URIhttp://hdl.handle.net/1822/52379
ISBN978-3-319-66378-4
e-ISBN978-3-319-66379-1
DOI10.1007/978-3-319-66379-1_13
ISSN1860-949X
Publisher versionhttps://link.springer.com/chapter/10.1007/978-3-319-66379-1_13#citeas
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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