Non-intrusive quantification of performance and its relationship to mood
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/50514 |
Resumo: | The number of jobs that takes place entirely or partially in a computer is nowadays very signi cant. These workplaces, as many others, often o er the key ingredients for the emergence of stress and the performance drop of its long-term e ects: long hours sitting, sustained cognitive e ort, pressure from competitiveness, among others. This has a toll on productivity and work quality, with signi cant costs for both organizations and workers. Moreover, a tired workforce is generally more susceptible to negative feelings and mood, which results in a negative environment. This paper contributes to the current need for the development of non-intrusive methods for monitoring and managing worker performance in real time. We propose a framework that assesses worker performance and a case study in which this approach was validated. We also show the relationship between performance and mood. |
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Non-intrusive quantification of performance and its relationship to moodWorker PerformanceMoodStatistical AnalysisDistributed IntelligenceEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaScience & TechnologyThe number of jobs that takes place entirely or partially in a computer is nowadays very signi cant. These workplaces, as many others, often o er the key ingredients for the emergence of stress and the performance drop of its long-term e ects: long hours sitting, sustained cognitive e ort, pressure from competitiveness, among others. This has a toll on productivity and work quality, with signi cant costs for both organizations and workers. Moreover, a tired workforce is generally more susceptible to negative feelings and mood, which results in a negative environment. This paper contributes to the current need for the development of non-intrusive methods for monitoring and managing worker performance in real time. We propose a framework that assesses worker performance and a case study in which this approach was validated. We also show the relationship between performance and mood.This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013. The work of Davide Carneiro is supported by a PostDoctoral Grant by FCT (SFRH/BPD/109070/2015).info:eu-repo/semantics/publishedVersionSpringerUniversidade do MinhoCarneiro, Davide RuaPimenta, AndréNeves, JoséNovais, Paulo20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/50514engCarneiro D., Pimenta A., Neves J., Novais P., Non-intrusive Quantification of Performance and its Relationship to Mood, Soft Computing, Springer, ISSN: 1432-7643, vol. 21, Issue nº 17, pp 4917-4923, 2017. http://dx.doi.org/10.1007/s00500-016-2380-y.1432-76431433-747910.1007/s00500-016-2380-yinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:13:32Zoai:repositorium.sdum.uminho.pt:1822/50514Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:05:40.525356Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Non-intrusive quantification of performance and its relationship to mood |
title |
Non-intrusive quantification of performance and its relationship to mood |
spellingShingle |
Non-intrusive quantification of performance and its relationship to mood Carneiro, Davide Rua Worker Performance Mood Statistical Analysis Distributed Intelligence Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Science & Technology |
title_short |
Non-intrusive quantification of performance and its relationship to mood |
title_full |
Non-intrusive quantification of performance and its relationship to mood |
title_fullStr |
Non-intrusive quantification of performance and its relationship to mood |
title_full_unstemmed |
Non-intrusive quantification of performance and its relationship to mood |
title_sort |
Non-intrusive quantification of performance and its relationship to mood |
author |
Carneiro, Davide Rua |
author_facet |
Carneiro, Davide Rua Pimenta, André Neves, José Novais, Paulo |
author_role |
author |
author2 |
Pimenta, André Neves, José Novais, Paulo |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Carneiro, Davide Rua Pimenta, André Neves, José Novais, Paulo |
dc.subject.por.fl_str_mv |
Worker Performance Mood Statistical Analysis Distributed Intelligence Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Science & Technology |
topic |
Worker Performance Mood Statistical Analysis Distributed Intelligence Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Science & Technology |
description |
The number of jobs that takes place entirely or partially in a computer is nowadays very signi cant. These workplaces, as many others, often o er the key ingredients for the emergence of stress and the performance drop of its long-term e ects: long hours sitting, sustained cognitive e ort, pressure from competitiveness, among others. This has a toll on productivity and work quality, with signi cant costs for both organizations and workers. Moreover, a tired workforce is generally more susceptible to negative feelings and mood, which results in a negative environment. This paper contributes to the current need for the development of non-intrusive methods for monitoring and managing worker performance in real time. We propose a framework that assesses worker performance and a case study in which this approach was validated. We also show the relationship between performance and mood. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 2017-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/50514 |
url |
http://hdl.handle.net/1822/50514 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Carneiro D., Pimenta A., Neves J., Novais P., Non-intrusive Quantification of Performance and its Relationship to Mood, Soft Computing, Springer, ISSN: 1432-7643, vol. 21, Issue nº 17, pp 4917-4923, 2017. http://dx.doi.org/10.1007/s00500-016-2380-y. 1432-7643 1433-7479 10.1007/s00500-016-2380-y |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799132469776089088 |