Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/34173

TitleDetection of distraction and fatigue in groups through the analysis of interaction patterns with computers
Author(s)Pimenta, André
Carneiro, Davide Rua
Novais, Paulo
Neves, José
KeywordsDistraction
Fatigue
Task performance
Behavioural biometrics
Distributed intelligence
Pattern analysis
Issue date2015
PublisherSpringer
JournalStudies in Computational Intelligence
CitationPimenta, 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
Abstract(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.
TypeConference paper
URIhttp://hdl.handle.net/1822/34173
ISBN978-3-319-10421-8
DOI10.1007/978-3-319-10422-5_5
ISSN1860-949X
Publisher versionhttp://link.springer.com/chapter/10.1007%2F978-3-319-10422-5_5
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CCTC - Artigos em atas de conferências internacionais (texto completo)

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