Risk Assessment of Human Machine Interaction for Control and eNavigation Systems of Marine Vessels

The design of human machine interaction for modern ship electronic systems has a significant impact on the safety of seafaring. There is a direct impact on the capability of the nautical personnel to efficiently recognize the situation and to decide correctly. Consideration of efficiency and safety in early design phases of eNavigation systems or other bridge equipment will improve the engineering processes in order to reduce design errors. Model driven design is one option for efficient development of technical systems that proves as a powerful tool getting popular due to the reusability of the models in verification, code generation etc. and leads to efficient processes. Based on former research on system engineering and on human machine interaction risks assessments using cognitive simulation this paper presents an integrated model based approach for analysis safety of human machine interactions. It combines technical, process and cognitive models for simulation based efficiency and risk assessment in bridge design.