The purpose of this study is to improve marine navigational safety by preventing marine accidents caused by human error-based vessel navigator behavior. Human errors that can cause marine accidents must be identified and assessed. Human error should be managed through a systematic system, and that was developed a system that provides preventing options through a model that clearly identifies and analyzes navigator's behavior to assess risk.
First, human error and behavior of ship navigator were defined through literature review. Based on the person approach and system approach, which are approaches to managing human error, navigator's behaviors were defined and classified as follows. The behavior of navigator by the person approach applied Endsley's theory of perception of situation and by the system approach applied Rasmussen's Skill-, Rule- and Knowledge(SRK) based behavior theory.
Second, in order to measure navigator's behavior based on perception of situation, navigator's behavior pattern was measured by experiment using Kinect sensor. experimental results were used in the Kinect sensor output data, and a model was developed to classify behavior patterns using the output data. However, since the person approach is difficult to manage errors through control option, we have studied how to manage the human error of navigator based on system approach.
Third, the SRK-based navigator's behavior identified by experiment using ship handling simulator(SHS). The behavior was evaluated through individual checklists while participants handle simulator. As a result of experiment, it was possible to measure navigator's behavior using SHS, and it was possible to systematically evaluate and manage navigator's behavior.
Fourth, this paper developed the navigator's behavior evaluation system. The system is evaluated through a behavioral assessment model based on navigator's behavior identification results. Prior probability calculations used in the model were calculated using Bayesian concepts and modeled using calculation formulas. The system input the behavior measurements and models evaluate input data. Based on the results of the evaluation, it suggest preventing options to manage the error.
As a result, this study has developed a navigator's behavior assessment system to prevent human error-based navigator behaviors that can cause marine accidents for safe navigation. This system is considered valuable in this field of research because it has developed a way to systematically manage navigator behavior. However, challenges remain such as model accuracy and various preventing options.