"A model for real-time human decision-making in a multi-task environment"

Abstract

The present research has sought to understand human information-processing and task selection procedures in a dynamic multi-task environment. The approach has been to assimilate the results of a joint experimental and analytic program into a normative dynamic decision model(DDM) for predicting human task sequencing performance. To this end, a general multi-task paradigm was developed that retains the essential features of task selection in a manageable, yet manipulative, context. Via this framework, we have studied the effects of length of opportunity window, task values, and processing times on the human decision-making processes.