In this paper, we have identified three constructs that are considered key to the appreciation of startle impact that is manifested via physiological outputs and task performances. They are Human Mental Model (reduced visual conditions and high task complexity), Aircraft Mental Model (Aerodynamic and Stability Behaviour as a result of pilot inputs) and Simulated Physical Model (Environment Dynamics represented in the Simulator space). In view of these, a modular hybrid approach would be appropriate to furnish a coherent view of startle causality driven by human factors. The hybrid approach is anchored on an equation-based system model with constituent elements (agents) of the system clearly defined as fuzzy cognitive maps. These elements are subsequently embedded into a hardware-software architecture to provide experimentation protocols support. This paper is preceded with a discussion of human factor associated with fuzzy cognitive mapping (FCM, based on the HFACS framework). The FCM process covers four essential functions: explanatory, predictive, reflective and strategic. The FCM model is a flexible and robust means to provide an objective representation and comprehensive understanding of startle causality. On the other hand, it highlights any distortions and limits of the use case representation.