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.
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Acknowledgments
This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT—Fundaçã para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013. The work of Davide Carneiro is supported by a Post-Doctoral Grant by FCT (SFRH/BPD/109070/2015).
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Carneiro, D., Pimenta, A., Neves, J. et al. Non-intrusive quantification of performance and its relationship to mood. Soft Comput 21, 4917–4923 (2017). https://doi.org/10.1007/s00500-016-2380-y
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DOI: https://doi.org/10.1007/s00500-016-2380-y