Real-time Task Accomplishment Simulation for Error Recognition in IPS²

Abstract

In the context of IPS² the responsibility for managing customized technical systems is shared between customer and supplier. Human operators require more knowledge to manage and maintain each additional system without an increased time for training with them. At the same time operator errors pose a considerable risk to the overall system robustness. We describe a prototype of a cognitive framework which optimizes the robustness of manual tasks by recognizing operator mistakes. The prototype is evaluated using an experiment. The prototype automatically analyses sensory data from the technical system to identify operator errors during task execution.