Proposing Strategies to Prevent the Human Error in Automated Industrial Environments

  • José A. do N. Neto
  • Maria F. Q. Vieira
  • Charles Santoni
  • Daniel Scherer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5638)


This paper presents a process to conceive strategies to prevent the human error when operating industrial systems. The process adopts a broader view to error prevention, going beyond the error analysis to consider the user profile, the task and context description. The error classification is done according to a task execution cognitive model. The conceived strategies focus on the human interface component of those systems since it is this work’s premise that the human interface design has a strong impact on the human error rate.


Human-Machine Interfaces Human error Cognitive model 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • José A. do N. Neto
    • 1
  • Maria F. Q. Vieira
    • 1
  • Charles Santoni
    • 2
  • Daniel Scherer
    • 1
  1. 1.LIHM –DEE – CEEI UFCGCampina GrandeBrazil
  2. 2.LSIS, Université Paul Cézanne (Aix-Marseille III)France

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