Abstract
The growing percentage of incidents connected with human error in several industries has led to investigate the factors influencing failures, so that many methods, the so-called Human Reliability Analysis methods, have been developed in order to quantify the human error probabilities. According to the needs of the last generation of the above mentioned methods (i.e. dynamic HRA methods), in order to overcome the lack into modelling the dynamic nature of human performance, this paper focuses on System Dynamics approach to highlight the relationships among the factors that influence human performance. Starting from a literature review on human error taxonomy, a Causal Loop Diagram is proposed to represent in a graphical fashion the interrelations between the variables which most influence and are influenced by human behaviour within a socio-technical system.
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
Reason, J.: Human Error. Cambridge University Press, New York (1990)
Madonna, M., Martella, G., Monica, L., Pichini Maini, E., Tomassini, L.: The human factor in risk assessment: methodological comparison between human reliability analysis techniques. Prev. Today 5(1/2), 67–83 (2009)
IEC 62508: Guidance on human aspects of dependability (2010)
Di Pasquale, V., Iannone, R., Miranda, S., Riemma, S.: An overview of human reliability analysis techniques in manufacturing operations. In: Schiraldi, M. (ed.) Operations Management, pp. 221–240. INTech-Open Access Publisher, Osaka (2013)
Di Pasquale, V., Miranda, S., Iannone, R., Riemma, S.: A simulator for human error probability analysis (SHERPA). Reliab. Eng. Syst. Saf. 139, 17–32 (2015)
Cacciabue, P.C.: Guide to Applying Human Factors Methods. Springer, London (2004)
Harwood, K., Sanderson, P.: Skill, rules and knowledge: a discussion of Rasmussen’s classification. In: Human Factor Society. A Cradle for Human Factors. Proceedings of the Human Factors Society 30th Annual Meeting, Dayton (OH), USA, p. 1002, September 29–October 3 1986
Rasmussen, J.: Human errors: a taxonomy for describing human malfunction in industrial installation. J. Occup. Accid. 4, 311–333 (1982). Elsevier Scientific Publishing Company
Forester, J., et al.: The International HRA Empirical Study – final Repot – lessons Learned from Comparing HRA Methods Predictions TO HAMMLAB Simulator Data. HPR -373 OECD Halden Reactor Project, Norway (2013)
Swain, A.D., Guttmann, H.E.: Handbook of Human Reliability Analysis with Emphasis on Nuclear Power Plant Applications. NUREG/CR-1278, US Nuclear Regulatory Commission. Washington, DC (1983)
Cacciabue, C.: Modelling and simulation of human behavior for safety analysis and control of complex system. Saf. Sci. 28, 97–110 (1998)
Mohaghegh, Z., Kazemi, R., Mosleh, A.: Incorporating organizational factors into probabilistic risk assessment (PRA) of complex socio-technical systems: a hybrid technique formalization. Reliab. Eng. Syst. Saf. 94(5), 1000–1018 (2009)
Gregoriades, A.: Human error assessment in complex socio-technical systems- system dynamic versus Bayesian belief network. In: System Dynamics Conference, Manchester (2008)
Forrester, J.W.: Industrial Dynamics, p. 464. MIT Press, Cambridge (1961)
Sterman, J.D.: Business Dynamic: System Thinking and Modeling for a Complex Word. Irwin McGraw-Hill, Boston (2000)
Marchand, A., Demers, A., Durand, P.: Does work really cause distress? The contribution of occupational structure and work organization to the experience of psychological distress. Soc. Sci. Med. 61(1), 1–14 (2005)
Hart, P., Cooper, C.: Occupational Stress: toward a more integrated framework. In: Anderson, N., Ones, D.S., Sinangil, H.K., Viswesvaran, C. (eds.) Handbook of Industrial Work and Organizational Psychology, vol. 2. Sage, London (2001)
Harvey, S., Courcy, F., Petit, A., Hudon, J., Teed, M., Loiselle, O., Morin, A.: Organizational interventions and psychological health in the work: a synthesis of Approaches. Report, Institute de Research enSante et Securitie au Travail (IRSST), Montreal (2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Di Nardo, M., Gallo, M., Madonna, M., Santillo, L.C. (2015). A Conceptual Model of Human Behaviour in Socio-technical Systems. In: Fujita, H., Guizzi, G. (eds) Intelligent Software Methodologies, Tools and Techniques. SoMeT 2015. Communications in Computer and Information Science, vol 532. Springer, Cham. https://doi.org/10.1007/978-3-319-22689-7_46
Download citation
DOI: https://doi.org/10.1007/978-3-319-22689-7_46
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-22688-0
Online ISBN: 978-3-319-22689-7
eBook Packages: Computer ScienceComputer Science (R0)