Small-scale team human error analysis method based on team cognitive modeling: Taking manned submersible as an example

In the extreme field of deep-sea exploration, humans are constantly challenging the limits of space and capabilities, raising concerns about the risks involved. Manned submersibles are the core platforms for deep-sea exploration operations. The human-machine-environment systems within their enclosed operating chambers face human safety challenges, such as the confined environment that can easily lead to cognitive degradation, multitasking that causes distraction, and team collaboration failures that can amplify individual errors. Therefore, this paper proposes a method of cognitive behavior modeling and quantitative human risk assessment for team operations. Monte Carlo simulation is used to describe the distribution characteristics of the cognitive performance of roles. A system of team performance influencing factors is reconstructed. The behavior is decomposed from the perspective of cognitive interaction processes. A modeling method for team cognitive interaction processes is proposed to describe different types of cognitive interaction behaviors. This method broadens the risk capture capability of human error behaviors in team operations in terms of time scale and information depth, and provides a new research framework for the structured description of human risk in team operations.