Implementation of a Human Information Processing Model for Task Network Simulation
Abstract
Task network simulation is an analytical technique that is widely used to predict operator performance and/or workload during early stages of systems design. Task network simulation is based on traditional time-line analysis methods, but allows possibility of non-deterministic task characteristics such as completion times, sequences, outcomes etc. Many simulation environments allow task parameters to vary with various network states, which supports complex logical relationships, and the varying network behaviours. This report outlines the implementation of a theoretical framework for a new model of the human information processor for using task network simulation. The development and validation of the Information Processing (IP) model is described in detail elsewhere This report deals only with those aspects that are necessary to take the ideas of the IP Model and adapt them for direct application task network simulation. The material contained in this report provides the bridge between the conceptual descriptions of the Model, and the software requirements necessary to put that concept into practice. As part of this process, many parameters defined and assigned tentative values so that the model can be run within the task network simulation environment.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 1994
- Accession Number
- ADA283903
Entities
People
- Keith C. Hendy
Organizations
- DRDC Toronto