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https://hdl.handle.net/1822/52379
Título: | EUStress: A human behaviour analysis system for monitoring and assessing stress during exams |
Autor(es): | Gonçalves, Filipe Manuel Carneiro, Davide Rua Novais, Paulo Pêgo, José M. |
Palavras-chave: | Big data mining Decision making Human-computer interaction Mouse Dynamics Stress |
Data: | 2018 |
Editora: | Springer Verlag |
Revista: | Studies in Computational Intelligence |
Citação: | Gonçalves, 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 |
Resumo(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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/52379 |
ISBN: | 978-3-319-66378-4 |
e-ISBN: | 978-3-319-66379-1 |
DOI: | 10.1007/978-3-319-66379-1_13 |
ISSN: | 1860-949X |
Versão da editora: | https://link.springer.com/chapter/10.1007/978-3-319-66379-1_13#citeas |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
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