Cognitive Analysis Application Research Toolset (NEART) is an algorithm software developed by the Center for Applied ATM Research Laboratory at Embry-Riddle Aeronautical University. NEART is focused on determining workload assessment as well as workload predictions when performing different tasks or events.
Initially, a baseline of activities is built by analyzing control tasks as they are performed. These tasks can be observed in a variety of environments whether they are being tested in a simulated environment or the actual work environment. These activities are then broken down into fundamental components called actions.
The program is based on Christopher Wickens’ “Multiple Resource Theory”, which states that multiple channels working in unison generate greater cognitive workload. NEART allows the user to define relationships between roles, events. tasks, and actions. Demand ratings for the subjects actions are gathered through NASA TLX surveys, and then applied to a standard conflict matrix within the program. This enables the program to plot the workload through the Workload Assessment Tracking Tool (WATT). This tool allows the user to break down the action and task channels to analyze how they may conflict with each other and which configuration will generate the most efficient distribution of workload.
Once a baseline model has been established, the NEART VISSCRIPT application can then be used to compare modifications or “What If?” scenarios to the baseline. These modifications might include alternative concepts of operation applied to a wide variety of job concentrations including manufacturing, medicine, fabrication, aviation and construction.