Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/50514

TítuloNon-intrusive quantification of performance and its relationship to mood
Autor(es)Carneiro, Davide Rua
Pimenta, André
Neves, José
Novais, Paulo
Palavras-chaveWorker Performance
Mood
Statistical Analysis
Distributed Intelligence
Data2017
EditoraSpringer
RevistaSoft Computing
CitaçãoCarneiro 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.
Resumo(s)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.
TipoArtigo
URIhttps://hdl.handle.net/1822/50514
DOI10.1007/s00500-016-2380-y
ISSN1432-7643
e-ISSN1433-7479
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
IDC SI SC.pdf362,03 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