Toward Automated Reduction of Human Errors Based on Cognitive Analysis

Following the immense development of cyber society where various activities including e-commerce take place, the demands for security is rapidly growing. Among major causes of security flaws is human error, which is unintentionally caused by humans. To cope with that, we intend to build a human error database that automatically develops further. We conducted a survey on human factors and concluded that the root causes of human errors are related to the internal mental processes, and the cognitive-psychological methodology is a feasible for the estimation of them. Based on that this paper proposes a framework that consists of data collection methods and data structure. It also explores the usability of the data by presenting use cases of human error prevention and incident handling.