Abstract
Mental fatigue is a concern for a range of reasons, including its negative impact on productivity and quality of life in general. The maximal working capacity and performance of an individual, whether physical or mental, generally also decreases as the day progresses. The loss of these capabilities is associated with the emergence of fatigue, which is particularly visible in long and demanding tasks or repetitive jobs. However, good management of working time and of the effort invested in each task, as well as the effect of breaks at work can result in better performance and better mental health, delaying the effects of fatigue. In this paper a model and prototype are proposed to detect and monitor fatigue, based on behavioral biometrics (Keystroke Dynamics and Mouse Dynamics). Using this approach, the aim is to develop leisure and work context-aware environments that may improve quality of life and individual performance, as well as productivity in organizations.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aiello, J.R., Kolb, K.J.: Electronic performance monitoring and social context: impact on productivity and stress. J. Appl. Psychol. 80(3), 339 (1995)
Akerstedt, T., Knutsson, A., Westerholm, P., Theorell, T., Alfredsson, L., Kecklund, G.: Mental fatigue, work and sleep. J. Psychosom. Res. 57(5), 427–433 (2004). doi:10.1016/j.jpsychores.2003.12.001
Balkin, T.J., Wesensten, N.J.: Differentiation of sleepiness and mental fatigue effects. (2011)
Curran, S.: Short form of the profile of mood states (POMS-SF): psychometric information. Psychol. Assess. 7(1), 80–83 (1995). doi:10.1037//1040-3590.7.1.80
Hart, S.G., Staveland, L.E.: Development of NASA-TLX (Task Load Index): results of empirical and theoretical research. Adv. Psychol. 52, 139–183 (1988)
Jaber, M.Y., Neumann, W.P.: Modelling worker fatigue and recovery in dual-resource constrained systems. Comput. Ind. Eng. 59(1), 75–84 (2010)
Kobayashi, H., Demura, S.: Relationships between chronic fatigue, subjective symptoms of fatigue, life stressors and lifestyle in Japanese high school students. Sch. Health 2, 5 (2006)
Lorist, M.M., Klein, M., Nieuwenhuis, S., De Jong, R., Mulder, G., Meijman, T.F.: Mental fatigue and task control: planning and preparation. Psychophysiology 37(5), 614–25 (2000)
McNair, D.M., Lorr, M., Droppleman, L.F.: Manual for the Profile of Mood States. Educational and Industrial Testing Service, San Diego CA (1971)
Newcombe, P.A., Boyle, G.J.: High school students’ sports personalities: variations across participation level, gender, type of sport, and success. Int. J. Sport Psychol. 26, 277 (1995)
Perelli, L.P.: Fatigue stressors in simulated long-duration flight. Subjective Fatigue, and Physiological Cost. Technical Report, DTIC Document, Effects on Performance, Information Processing (1980)
Pimenta, A., Carneiro, D., Novais, P., Neves, J.: Monitoring mental fatigue through the analysis of keyboard and mouse interaction patterns. In: Hybrid Artificial Intelligent Systems, pp. 222–231. Springer, Berlin (2013)
Pimenta, A., Carneiro, D., Novais, P., Neves, J.: Detection of distraction and fatigue in groups through the analysis of interaction patterns with computers. In: Intelligent Distributed Computing VIII, pp. 29–39. Springer, Berlin (2015)
Ramos, C., Augusto, J.C., Shapiro, D.: Ambient intelligence-the next step for artificial intelligence. IEEE Int. Syst. 23(2), 15–18 (2008)
Samn, S.W., Perelli, L.P.: Estimating aircrew fatigue: a technique with application to airlift operations. Technical Report, DTIC Document (1982)
Smith, M.J., Carayon, P., Sanders, K.J., Lim, S.Y., LeGrande, D.: Employee stress and health complaints in jobs with and without electronic performance monitoring. Appl. Ergonomics 23(1), 17–27 (1992)
Spielberger, C.D.: State-Trait Anxiety Inventory. John Wiley & Sons, Inc. (2010)
Tucker, P.: The impact of rest breaks upon accident risk, fatigue and performance: a review. Work Stress 17(2), 123–137 (2003)
Williamson, R.J., Purcell, S., Sterne, A., Wessely, S., Hotopf, M., Farmer, A., Sham, P.C.: The relationship of fatigue to mental and physical health in a community sample. Soc. Psychiatry Psychiatr. Epidemiol. 40(2), 126–132 (2005)
Acknowledgments
This work is part-funded by ERDF—European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by National Funds through the FCT—Fundao̧ão para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within projects FCOMP-01-0124-FEDER-028980 (PTDC/EEI-SII/1386/2012) and project Scope UID/CEC/00319/2013.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Pimenta, A., Carneiro, D., Neves, J., Novais, P. (2016). Analysis of Mental Fatigue and Mood States in Workplaces. In: Novais, P., Camacho, D., Analide, C., El Fallah Seghrouchni, A., Badica, C. (eds) Intelligent Distributed Computing IX. Studies in Computational Intelligence, vol 616. Springer, Cham. https://doi.org/10.1007/978-3-319-25017-5_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-25017-5_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25015-1
Online ISBN: 978-3-319-25017-5
eBook Packages: EngineeringEngineering (R0)