Reducing cognitive load of air traffic controllers through the modeling of the hierarchical...

The Hierarchical Segmentation Theory is about how human operators process objects, events and actions through cognitive processes that start from segmentation external inputs to decision making by the use of the mathematical formalism developed as Generalized Galois Lattices Air Control Interfaces are computed on line for determining the attentional and cognitive levels of complexity that affect cognitive load (attention and memory) and decisionmaking. 

The complexity and efficiency metrics help making predictions about the increasing of complexity, and help designing more safety interfaces for risky management of air control procedures.Experimental designs for evaluating how much the Hierarchical Segmentation Model predicts cognitive load of air traffic controllers includes the measurement of complexity at different states, the making of simpler situation (changing attributes of interfaces or number of events to be processed) and collecting data from change blindness experiments and from eyes movements.Such methods are adapted for virtual environments and augmented reality devices for which it is simple to change the distribution of features over categories. For real world objects, and human operators that operate on them, the on-line computation allows a survey of the complexity level and a "simplify it first" planning of operations.

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Reducing cognitive load of air traffic controllers through the modeling of the hierarchical...