Proposing Strategies to Prevent the Human Error in Automated Industrial Environments

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.