Quantitative Assessment and Reduction of Attention-Based Human Error Risk
(Samsung Austin Semiconductor)
Mitigation of human error risk is a foundational goal in occupational task assessment. Evaluation of these risks and establishing controls to reduce or eliminate their occurrence has been robust in industrial settings; however, the identification of human error risk associated with loss or reduction in performer attention has been difficult to both identify and quantify through the use of leading indicator tools and practices. To this end, examples of activities and circumstances contributing to reduced attention were identified and then classified into performer attention level categories. These categories were then utilized to develop a tiered grading metric for the assessment of attention-based human error associated with task execution. Through the application of this metric, attention-based human errors were successfully quantified, as were corrective actions associated with their reduction or elimination. The use of either a specific grading metric associated with attention-based human error or the incorporation of attention-based factors into existing risk assessment and identification practices shows the potential to reduce incidents not being effectively addressed by contemporary industry methods.