ABSTRACT
This chapter describes two examples of multi-task supervisory control systems to illustrate that monitoring, information processing and action selection skills of the human operator are of paramount importance in supervisory control. In addition, the multitask sequencing models form a basic building block in the comprehensive understanding of human information processing and decision-making procedures, an understanding that should facilitate the modeling of human team behavior in complex, multi-level, multi-task supervisory control systems. With this as motivation, and with past experiences in the building and extension of normative-descriptive models, we believe that the dynamic decision model provides the starting point for the development of a truly scientific methodology for modeling dynamic distributed team decision-making. The modeling approach is employed in the dynamic decision model to predict human decision behavior in multi-task decision problems parallels the optimal control model of human response.
