Incorporating motion data and cognitive models in IPS2

Abstract

In the SFB/TR29 a focus lies on human factors and their integration into Industrial Product-Service Systems (IPS2). These innovative systems are complex and dynamic. Human operators need to be able to perform a multitude of complex tasks in such socio-technical systems, providing a challenge to the operators because of the high complexity. Therefore automatic assistance systems are necessary for the overall reliability and effectiveness of such a system. This article describes a theoretical approach for simulating human behavior with cognitive models. The performed actions are recognized with motion capturing in combination with machine learning. By evaluating the perceived action and reality a description for the situation can be automatically generated in real time. This can be used for e.g. providing the human operator with real time contextual feedback. © 2011 Springer-Verlag.