@article{ref1,
title="Task taxonomies and modeling for system performance prediction",
journal="Proceedings of the Human Factors and Ergonomic Society annual meeting",
year="1980",
author="Berry, Gayle Lynn",
volume="24",
number="1",
pages="425-429",
abstract="The problem of predicting performance of complex human machine systems is a very difficult one. The use of task-oriented simulation models makes this problem more tractable, but by no means converts it to a trivial exercise. The difficulty of determining an appropriate abstract model from analysis of the actual human machine system remains. An approach is suggested for developing a systematic method of analyzing human machine systems and for formulating a task-oriented model from the analysis results. The role of task taxonomies in systematic analysis is discussed.<p /><p>Language: en</p>",
language="en",
issn="2169-5067",
doi="10.1177/1071181380024001111",
url="http://dx.doi.org/10.1177/1071181380024001111"
}