Air traffic controller workload is considered to be a limiting factor in the growth of air traffic worldwide. In this paper a new method of assessing controller task demand load will be developed and tested. Based on the hypothesis that operator workload is primarily caused by the difficulty of the task to be conducted, the concept of the solution space is described. For any particular air traffic control problem, the solution space describes the constraints in the environment that limit (and therefore guide) air traffic controller decisions and actions. The difficulty of that particular control problem can then be analyzed by considering the properties of the solution space. The task of merging an aircraft into a stream of other aircraft that fly along a fixed route is considered. An experiment has been conducted in which subjects were instructed to solve several merging problem scenarios of varying difficulty. After completing each scenario, subjects were asked to rate the difficulty of their task. High correlations are found between several solution-space properties and self-reported task difficulty.
Air traffic controller workload is considered to be a limiting factor in the growth of air traffic worldwide. In this paper a new method of assessing controller task demand load will be developed and tested. Based on the hypothesis that operator workload is primarily caused by the difficulty of the task to be conducted, the concept of the solution space is described. For any particular air traffic control problem, the solution space describes the constraints in the environment that limit (and therefore guide) air traffic controller decisions and actions. The difficulty of that particular control problem can then be analyzed by considering the properties of the solution space. The task of merging an aircraft into a stream of other aircraft that fly along a fixed route is considered. An experiment has been conducted in which subjects were instructed to solve several merging problem scenarios of varying difficulty. After completing each scenario, subjects were asked to rate the difficulty of their task. High correlations are found between several solution-space properties and self-reported task difficulty. Nomenclature A = area, % of available area B = bunching BW = band size, deg d = distance, length, m F = ratio of sample variances H = heading, deg N = number (as in number of aircraft) P = position, m ^ P = transposed position, m p = significance R = Pearson correlation coefficient S = separation minimum (for aircraft), m S = score S = mean score T = time, s t = time, s V = velocity, m=s Subscripts AC = aircraft a = approaching b = back c = correction com = command e = turn termination (point) e = evacuation (time) f = front (for interception velocity) G = ghost h = heading head = heading int = interception l = largest (area) min = minimum max = maximum rel = relative (velocity) rel = relevant (aircraft) SV = separation violations s = segment t = turn initiation (point) t = total (area) Z = Z (as in Z scores) = mean = standard deviation ! = angular velocity, rad=s
Traditional and modem perspectives on field data systems are compared with emphasis on the R&M 2000 and Total Quality Management initiatives which stress operational impacts and customer satisfaction. The Tactical Air Command reporting system is used to illustrate how to develop a ''user driven" field data system where TAC's top level metrics (Break Rate, Fix Rate, Ground Abort Rate and Mission Capable Rate) are used as reference points for all levels of data collection, processing and output reports. A matrix of output reports are reviewed which illustrate three levels of reports (Summary, Detail and Raw) for each TAC metric. This matrix approach establishes an "integrated systems" approach to field data systems wherein all reports are interrelated to provide a complete picture to the SPO decision makers.Selected output displays are reviewed using field data obtained from the TICARRS (F-16 CDS) data system. A Baseline Change Request is being processed by the REMIS SPO to incorporate this approach into the REMS data system.
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