Identifying the limits of training system effectiveness through taxonomies of human performance
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Authors
Darken, R.P.
Subjects
training
simulation
cognitive task analysis
human performance
simulation
cognitive task analysis
human performance
Advisors
Date of Issue
2009-03
Date
16 Mar 2009
Publisher
Taylor & Francis
Language
Abstract
Given a specific training problem, how much is known about choosing the best mix of technologies and methods that are both cost effective and that also meet given ? Beyond technical specifications of systems and components, a theoretically thorough method is still not used for identifying training requirements and how to best fit technology to meet those requirements. What is needed is a way to ‘bound’ training systems so that it can be clearly stated what they are and are not best used for. What are their ? What are their ? The method described in this paper is based on a well-developed taxonomy of human performance. It is linked to conventional task analysis techniques to show how to identify what tasks a training system can be used for. An example is used to illustrate the method, but it has been applied to many training simulators. The process is meant to objectively link training requirements to technologies in a repeatable fashion such that training system builders, buyers and users can better understand the limits of their system.
Type
Article
Description
The article of record as published may be found at http://dx.doi.org/10.1080/14639220802151625
Series/Report No
Department
Computer Science (CS)
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funding
Format
14 p.
Citation
Darken, R. P. "Identifying the limits of training system effectiveness through taxonomies of human performance." Theoretical Issues in Ergonomics Science 10.3 (2009): 231-243.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.