Mirror the mind of crew: Maritime risk analysis with explicit cognitive processes in a human digital twin

Su Han, Fan Li, Ching-Hung Lee, Tengfei Wang, Mihai A. Diaconeasa

Abstract: Human Digital Twin are digital representations of individuals that seek to revolutionize the practice of human-system integration by directly incorporating human characteristics into system design and performance. It is expected to be adopted in maritime fields and enhance system reliability. However, to date, the exploration of Human Digital Twin development has paid limited efforts to human cognitive processes. The cognitive process plays a pivotal role in ensuring the safety of shipping operations, as it is closely tied to the decision-making and reliability of the crew on duty. Hence, this study proposes the Cognitive Processes in Human Digital Twin via a model-based approach to fill this research gap. A model-based framework for Marine domain is proposed. To explicitly capture the dynamic patterns of human cognitive process, we combine the Information, Decision, Action of Crew model and Discrete Dynamic Event Tree. The human cognitive process is revealed by the events and their associated probabilities at each discrete time step. In addition, a descriptive mapping method is developed to reveal the relations between personnel postural behavior and human performance influencing factors. A case study is conducted to illustrate and verify the proposed method using a ship hydrodynamic simulator and crew model under preset scenarios. The results show that the proposed model-based Cognitive Processes in Human Digital Twin can quantitatively and dynamically characterize various crew state changes and their response mechanisms.