Human-In-Control (HIC) Modeling and Integration Framework for BMDS Simulations

IAI with University of Michigan proposes an innovative HIC software modeling and integration framework built around objectively quantified cognitive models of human operators i) Executive-Process/Interactive Control (EPIC) and ii) GOMS (Goal Operator Method and Selection rules) Language Evaluation and Analysis (GLEAN). The framework provides ability to model existing or futuristic operator workstations, which is used as declarative knowledge to develop high & low-fidelity cognitive models. The framework supports operator modeling of varying proficiency by allowing users to define task-specific timeline distributions, while the decisions are driven by fixed perceptual, cognitive, motor processor parameters and constraints. It also allows the cognitive model to interact with external decision models to determine quantitative value of the outcome of certain motor tasks so that meaning simulation events can be generated for other BMDS simulation elements and components. A proposed HLA framework to interface with perceptual signal and motor actions declared in the HIC model provides an integration layer and a middleware to manage simulation time, and seeds to repeatable stochastic behavior external to the HIC model. Finally, a proposed enterprise service with scenario planning capability to configure a simulation event from a repository of operator and workstation models supports trainings and BMDS Performance Assessment.