Abstract
The processing resources enabling dual task performance are modeled as a vector quantity, with dimensions defined by processing stages, processing codes, and processing modalities. This multidimensional conception is employed to model operator workload and to predict task interference patterns, employing a Sternberg task methodology. The implications to time-sharing performance are addressed as they pertain to the stage dimensions (Experiment 1: Manual Tracking), the code dimension (Experiment 2: Failure detection), and the code and modality dimension (Experiment 3: Multi-element monitoring).
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