Abstract
Why is it important to understand human behavior in automated environments? The performance of a human-automation system is a product of the quality of the support provided by the automation and the manner in which that support is used by the human. Therefore, the solution to reaching an optimal level of system performance does not lie exclusively within possible improvements to technological components, but also by understanding the interaction of humans with automated agents. A conceptual model of human-automation interaction is presented in this paper. The model includes most of the well-established variable relationships to date, as well as a brief description of the literature that supports each relationship.
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