Abstract
Human error studies tend to focus on identifying the relationship between the human activity, its errors and consequences. Accidents and incidents report analysis has been the path followed by several authors in the human error studies field, as it will be discussed in this chapter. However, reports tend to detail technical aspect of the error occurrence but fail to explore the human-behaviour component that might have influenced it. In order to investigate the human behaviour and its relation with accidents and human errors the authors propose to observe individuals working during critical situations. This observation must adopt a methodological approach, and the authors advise to support it by an experimental protocol, to ensure a rigorous systematization of the data gathering and analysis of the human behaviour. This chapter presents a cognitive model conceived to support this approach, by investigating an individual’s: characteristics; functional state; situation perception, decision-making approach and performance during task completion which accounts for the knowledge of the work situation. It also briefly presents its supporting experimental protocol, and discusses its application in the context of a decision making aid system, employed during maritime pollution crisis management.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Le Centre de Recherche en Psychologie de la Connaissance, du Langage et de l’Émotion (Centre PsyCLÉ) .
References
Hollnagel, E. (1993). Human reliability analysis: Context and control. New Jersey: Academic Press.
Rasmussen, J. (1983). Skills, Rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models. IEEE: Transactions on Systems, Man, and Cybernetics, 13(3), 257−266.
Reason, J. (1990). Human error. Cambridge: Cambridge University Press.
Reason, J. (1997). Managing the risks of organizational accidents. London, UK: Ashgate Publishing.
Norman, D., & Draper, S. (1986). User cantered system design in new perspectives on human-computer interaction. Hillsdale: Lawrence Erlbaum Associates.
Norman, E. B., & Baucom, D. (2002). Enhanced cognitive-behavioural therapy for couples: A contextual approach. NBR: American Psychological Association. 6023.
Endsley, M. R. (1995). Toward a theory of situation awareness in dynamic systems. Human Factors, 37(1), 85−104.
Amalberti, R. (1996). La conduite de systèmes à risques. Paris: Press Universitaires de France.
Rasmussen, J., Pejtersen, A., & Goodstein, L. (1994). Cognitive System Engineering. New York: Wiley.
Rasmussen, J., Pedersen, O. M., Mancini, G., Carnino, A., Griffon, M. & Gagnolet, P. (1981). Classification system for reporting events involving human malfunctions. In: RISO-M-2240. RISO National Laboratory. Denmark. March.
van Eekhout, J. M., & Rouse W. B. (1981). Human errors in detection, diagnosis, and compensations for failures in the engine control room of a supertanker. IEEE Transactions on System, Man, and Cybernetics, 12, 813−816.
Johnson, W. B., & Rouse, W. B. (1982). Analysis and classification of human errors in troubleshooting live aircraft power plants. IEEE Transactions on Systems, Man, & Cybernetics, 12(3), 389–393. May−June.
Hart, S. G., & Staveland, L. E. (1988). Development of NASA-TLX (Task Load Index): results of empirical and theoretical research. In P. A., Hancock, & N., Meshkati (Eds.), Human mental workload. (pp. 139−183) Amsterdam: Elsevier Science Publisher B.V.
Reid, G. B., & Nygren, T. E. (1988). The subjective workload assessment technique: A scaling procedure for measuring mental workload. In P. A. Hancock & N. Meshkati (Eds.), Human Mental Workload (pp. 185–218). North-Holland: Elsevier Science Publishers.
Miyake, S. (2001). Multivariate workload evaluation combining physiological and subjective measures. International Journal of Psychophysiology, 40(3), 233–238.
Collet, C., Averty, P., & Dittmar, A. (2009). Autonomic nervous system and subjective ratings of strain in air-traffic control. Applied Ergonomics, 40, 23–39.
Thayer, R. E. (1987). Problem perception, optimism, and related states as a function time of day (diurnal rhythm) and moderate exercise: Two arousal systems in interaction. Motivation and Emotion, 11(1), 19–36.
Thayer, R. E. (1985). Activation (arousal): The shift from a single to multidimensional perspective. In J. Strelau, T. Gale, & F. Farley (Eds.), Biological bases of personality and behavior (Vol. 1, pp. 115--127). Washington, D.C.: Hemisphere.
Thayer, R. E. (1986). The activation-deactivation adjective check list: Current overview and structural analysis. Psychological Reports, 58, 607–614.
Cariou, M., Galy, E., & Mélan, C. (2008). Differential 24-h variations of alertness and subjective tension in process controllers: Investigation of a relationship with body temperature and heart rate. Chronobiology International, 25(4), 597–607.
Mélan, C., Galy, E., & Cariou, M. (2007). Mnemonic processing in air traffic controllers: Effects of task parameters and work organization. The International Journal of Aviation Psychology, 17(4), 391–409.
Scherer, K. R. (2001). Appraisal considered as a process of multi-level sequential checking. In K. R. Scherer, A. Schorr, & T. Johnstone (Eds.), Appraisal processes in emotion: theory, methods, research (pp. 92–120). New York and Oxford: Oxford University Press.
Demir, E., Desmet P.M.A. & Hekkert, P. (2009). Appraisal Patterns of Emotions in Human-Product Interaction. International Journal of Design, 3(2), 41−51.
Scherer, K. R. (2005). What are emotions? And how can they be measured? Social Science Information, 44, 695–729.
Piolat, A., & Bannour, R. (2009). EMOTAIX: Un Scénario de Tropes pour l’identification automatisée du lexique émotionnel et affectif. L’Année Psychologique, 109, 657–700.
Chi, C. F., & Lin, F. T. (1997). A new method for describing search patterns and quantifying visual load using eye movement data. International Journal of Industrial Ergonomics, 19(3), 249–257.
Fournier, L. R., Wilson, G. F., & Swain, C. R. (1999). Electrophysiological, behavioural, and subjective indexes of workload when performing multiple tasks: Manipulations of task difficulty and training. International Journal of Psychophysiology, 31, 129–145.
Folkow, B. (2000). Perspectives on the integrative functions of the sympatho adrenomedullary system. Autonomic Neuroscience: Basic and Clinical, 83, 101–115.
Paas, F. G. W. C. (1992). Training strategies for attaining transfer of problem solving skill in statistics: A cognitive load approach. Journal of Educational Psychology, 84, 429–434.
Brünken, R., Plass, J., & Leutner, D. (2003). Direct measurement of cognitive load in multimedia learning. Educational Psychologist, 38, 53–61.
Backs, R. W. (1995). Going beyond heart rate: Modes of autonomic control in the cardiovascular assessment of mental workload. The International Journal of Aviation Psychology, 5, 25–48.
Mulder, G., & Mulder, L. J. M. (1981). Information processing and cardio-vascular control. Psychophysiology, 18, 392–405.
Tattersall, A. J., & Hockey, G. R. (1995). Level of operator control and changes in heart rate variability during simulated flight maintenance. Human Factors, 37, 682–698.
Kreibig, S. D. (2010). Autonomic nervous system activity in emotion: A review. Biological Psychology, 84, 394–421.
Galy, E., Cariou, M., & Mélan, C. (2012). What is the relationship between mental workload factors and cognitive load types? International Journal of Psychophysiology, 83, 269–275.
Mayhew, D. J. (1999). The usability engineering lifecycle: A practitioner’s handbook for user interface design. San Francisco, CA: Morgan Kaufmann Publishers Inc.
Nielsen, J. (1993). Usability Engineering. Academic Press, Boston, ISBN 0-12-518405-0 (hardcover), 0-12-518406-9 (softcover).
Redish, G (2007, May). Expanding usability testing to evaluate complex systems. Journal of Usability Studies, 2(3), 102−111.
Aguiar, Y. P. C., Vieira, M. F. Q., Galy, E., Mercantini, J.-M. & Santoni, C. (2011). Refining a user behaviour model based on the observation of emotional states. In: Third International Conference on Advanced Cognitive Technologies and Applications—COGNITIVE, 2011, Rome. Proceedings of the Third International Conference on Advanced Cognitive Technologies and Applications, 2011.
Scherer, D. & Vieira, M. F. Q. (2008). Accounting for the Human Error when Building the User Profile. In: Third IASTED International conference human-computer interaction, 2008, innsbruck. proceedings of third iasted international conference human-computer interaction (Vol. 1, pp. 132−137). Zurich: ACTA Press.
Vieira, M. F. Q., Queiroz, J. E. R. & Oliveira, R. C. L. (2005). Webquest: a configurable web tool to prospect the user profile and user subjective satisfaction. In: 11th International Conference on Human-Computer Interaction, 2005, Las Vegas—Nevada. HCII 2005. Las Vegas—Nevada: MIRA Digital Publishing.
Berntson, G. G., Quigley, K. S., & Lozano, D. (2007). Cardiovascular psychophysiology. In J. T. Cacioppo, L. G. Tassinary & G. G. Berntson (Eds.). Handbook of psychophysiology (3rd edn., pp. 182−210). Cambridge, UK: Cambridge University Press.
Sztajzel, J. (2004). Heart rate variability: A non-invasive electrocardiographic method to measure the autonomic nervous system. Swiss Medical Weekly, 2004(134), 514–522.
Mercantini J.-M., Guerrero C.V.S & Freitas D.D. (2010). Designing a software tool to plan fight action against marine pollutions. In: The 7th International Mediterranean and Latin American Modelling Multiconference, October 13−15 2010, Fes, Morocco.
Shapiro, S. S. & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52,(3-4), 1965, 591−611.
Zar, J. H. (1972). Significance testing of the Spearman rank correlation coefficient. Journal of the American Statistical Association, 67(339), 578–580.
Vieira, M. F. Q. (2004). Accounting for Human Errors in a Method for the Conception of User Interfaces. In: International Mediterranean Modelling Multi Conference—I3 M’04, 2004, Genoa, Italy. Proceedings of I3 M’04. Bergeggi Italy. 1. pp. 122−130.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Aguiar, Y.P.C., de Fátima Q. Vieira, M., Galy-Marie, E., Santoni, C. (2015). Analysis of the User Behaviour When Interacting with Systems During Critical Situations. In: Mercantini, JM., Faucher, C. (eds) Risk and Cognition. Intelligent Systems Reference Library, vol 80. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45704-7_6
Download citation
DOI: https://doi.org/10.1007/978-3-662-45704-7_6
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45703-0
Online ISBN: 978-3-662-45704-7
eBook Packages: EngineeringEngineering (R0)