Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/50514
Título: | Non-intrusive quantification of performance and its relationship to mood |
Autor(es): | Carneiro, Davide Rua Pimenta, André Neves, José Novais, Paulo |
Palavras-chave: | Worker Performance Mood Statistical Analysis Distributed Intelligence |
Data: | 2017 |
Editora: | Springer |
Revista: | Soft Computing |
Citação: | 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. |
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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/50514 |
DOI: | 10.1007/s00500-016-2380-y |
ISSN: | 1432-7643 |
e-ISSN: | 1433-7479 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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IDC SI SC.pdf | 362,03 kB | Adobe PDF | Ver/Abrir |