Abstract
In the supervisory control of a complex, dynamic, highly automated system, a human operator is responsible for monitoring the state of the system and detecting and compensating for any system failures. One instance of a human-computer cooperative problem solving paradigm is described: the Georgia Tech Mission Operations Cooperative Assistant (GT-MOCA). GT-MOCA is a real-time aiding system that is used by the human operator at the Georgia Tech Payload Operations Control Center (GT-POCC) simulation, which simulates a satellite ground support system. One facet of GT-MOCA is described: its underlying conceptual model of operator intentions and how that model is used as the basis for an interactive artifact that supports inspectable visualization and dynamic task allocation.

This publication has 2 references indexed in Scilit: