WORKFLOW RISK MODELING OF SYSTEMIC HUMAN-AUTOMATION TASK PERFORMANCE.

Increasing levels of automated tasking in networked human-automation systems also produces increasing levels of complex decision-task interactions that are not fully understood and difficult to predict. The inability to fully predict complex human-automation task interactions in the design and subsequent management of these systems have resulted in mission failure and, worse, loss of life in safety-critical systems. This paper presents initial research results into the development of a human-automation decision-task workflow risk analysis method that integrates the identification and modeling of potential failure modes, occurrence distributions, and impacts on the performance and mission accomplishment of networked human-automation systems. [ABSTRACT FROM AUTHOR]