Task-model based assessment of automation levels: Application to space ground segments

Designing systems in such a way that as much functions as possible are automated has been the driving direction of research and engineering in aviation, space and more generally in computer science for many years. In the 90's many studies (e.g. [12] related to the notion of mode confusion) have demonstrated that fully automated systems are out of the grasp of current technologies and that additionally migrating functions [2] from the operator to the system might have disastrous impact on operations both in terms of safety and usability. In order to be able to design automation with a hedonic view of the involved factors (safety, usability, reliability, ...) a complete understanding of operator's tasks is required prior to considering migrating them to the system side. This paper proposes a contribution for reasoning about automation designs using a model-based approach exploiting refined task models. These models describe operations with enough details in order to reason about automation and to rationalize automation designs. In this paper we present how such representations can support the assessment of alternative design options for automation. The proposed approach is applied to satellite ground segments.