Cooperative Communications in Dynamic Fault Management

Abstract

The motivation for this research is to further theory on the development of artificial intelligence systems that function as “team players” in dynamic fault management applications. One challenge is effectively supporting the practitioner in understanding the assessments and actions of the intelligent system. The typical expert system approach to explanations is not well suited to the cognitive demands of dynamic fault management. In order to gain insight into effective cooperative interaction in dynamic fault management, we have undertaken a field of study of practitioners in one such domain, anesthesiology. We analyze the findings using the theoretical framework of a common ground and common frame of reference.