Multivariate Evaluation of Workload, Resources, and Performance in Dual Task Data

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.