Abstract

Human error has contributed considerably to accidents in various working environments. In the field of human error and reliability, environmental factors are termed performance-shaping factors, error-forcing conditions, common performance conditions. This chapter focuses on the cognitive mechanisms related to the occurrence of human errors. This theory foundation can serve as the technical basis for further research, such as error detection, error prediction, error analysis, error correction, etc. Human error classification is fundamental to human error research, investigation, prediction, detection, analysis, and control. For human reliability analysis (HRA) practitioners, its most important function is to quantify human error probabilities in a task or scenario of interest in risk assessments. In other domains in which human errors could be a great source of vulnerability, HRA also has many considerations and adoptions, such as oil and gas, aviation, spaceflight, health care and surgery, railways, cybersecurity, and human-autonomy interaction.

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