@article{ref1,
title="Multivariate evaluation of workload, resources, and performance in dual task data",
journal="Proceedings of the Human Factors and Ergonomic Society annual meeting",
year="1984",
author="Ackerman, Phillip L.",
volume="28",
number="3",
pages="210-214",
abstract="The problems of evaluating dual and complex task experiments are discussed. Two methods are proposed that provide a metric for measuring and comparing performance and workload in such experiments. The first method is based on derivations of effect size measures, which provide a useful descriptive and a valid inferential tool for dealing with single task, dual task, and multiple response measure situations. The second method involves a new approach to empirical derivation of performance-resource functions. The method is straightforward and testable. Examples and illustrations are presented.<p /><p>Language: en</p>",
language="en",
issn="2169-5067",
doi="10.1177/154193128402800303",
url="http://dx.doi.org/10.1177/154193128402800303"
}