IMPLEMENTING A MODEL OF HUMAN INFORMATION PROCESSING IN A TASK NETWORK SIMULATION ENVIRONMENT

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Authors
  1. Hendy, K.C.
  2. Farrell, P.S.E.
Corporate Authors
Defence and Civil Inst of Environmental Medicine, Downsview ONT (CAN)
Abstract
Task network simulation is an aanalytical technique that is widely used to predict operator performance and/or workload during the early stages of systems design. Task network simulation is based on traditional time-line analysis methods, but allows the possibility of non-deterministic task characteristics such as completion times, sequences, outcomes etc. Many simulation enviornments allow task parameters to vary with various network states, which supports complex logical relationships, and time varying network behaviours. This report outlines the implementation, for use in task network simulation, of a new model of the human information processor. The development and empirical testing of this Information Processing (IP) Model is described in more detail elsewhere. This report deals with those aspects that are necessary to take the ideas of the IP Model and adapt them for direct application to task network simulation. This report incoporates the contents of an earlier report while providing substantially more discussion on the IP Model and task network simulation procedures. Unlike the earlier report, a complete description of the IP Model is presented in this report - both for completeness, and to fill in details that are missing in other sources, specifically with respect to the role of strategy selection. TRUNCATED
Keywords
Information processing;Human engineering;Task Network Simulation;Perceptual Control Theory;SAINT
Report Number
DCIEM-97-R-71 —
Date of publication
01 Dec 1997
Number of Pages
116
DSTKIM No
98-00434
CANDIS No
507484
Format(s):
Hardcopy;Document Image stored on Optical Disk

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