Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/34173

TítuloDetection of distraction and fatigue in groups through the analysis of interaction patterns with computers
Autor(es)Pimenta, André
Carneiro, Davide Rua
Novais, Paulo
Neves, José
Palavras-chaveDistraction
Fatigue
Task performance
Behavioural biometrics
Distributed intelligence
Pattern analysis
Data2015
EditoraSpringer
RevistaStudies in Computational Intelligence
CitaçãoPimenta, A., Carneiro, D., Novais, P., & Neves, J. (2015). Detection of Distraction and Fatigue in Groups through the Analysis of Interaction Patterns with Computers. Intelligent Distributed Computing Viii, 570, 29-39. doi: 10.1007/978-3-319-10422-5_5
Resumo(s)Nowadays, our lifestyle can lead to a scatter of focus, especially when we attend to several tasks in parallel or have to filter the important information from all the remaining one. In the context of a computer this usually means interacting with several applications simultaneously. Over the day, this significant demand on our brain results in the emergence of fatigue, making an individual more prone to distractions. Good management of the working time and effort invested in each task, as well as the effect of breaks at work, can result in better performance and better mental health, delaying the effects of fatigue. This paper presents a non-intrusive and non-invasive method for measuring distraction and fatigue in an individual and in a group of people. The main aim is to allow team managers to better understand the state of their collaborators, thus preparing them to take better decisions concerning their management.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/34173
ISBN978-3-319-10421-8
DOI10.1007/978-3-319-10422-5_5
ISSN1860-949X
Versão da editorahttp://link.springer.com/chapter/10.1007%2F978-3-319-10422-5_5
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CCTC - Artigos em atas de conferências internacionais (texto completo)

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
2014 - CI Springer IDC PCNN.pdf488,2 kBAdobe PDFVer/Abrir

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID