Soft Computing

, Volume 21, Issue 17, pp 4917–4923 | Cite as

Non-intrusive quantification of performance and its relationship to mood

  • Davide Carneiro
  • André Pimenta
  • José Neves
  • Paulo Novais
Focus

Abstract

The number of jobs that takes place entirely or partially in a computer is nowadays very significant. These workplaces, as many others, often offer the key ingredients for the emergence of stress and the performance drop of its long-term effects: long hours sitting, sustained cognitive effort, pressure from competitiveness, among others. This has a toll on productivity and work quality, with significant 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.

Keywords

Worker performance Mood Statistical analysis Distributed intelligence 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Algoritmi Centre/Department of InformaticsUniversity of MinhoBragaPortugal
  2. 2.CIICESI, ESTGPolytechnic Institute of PortoPortoPortugal

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