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In this paper, we describe results to model lateral and longitudinal control behavior of drivers with simple linear multiple regression models. This approach fits into the Bayesian Programming (BP) approach (Bessière, 2008) because the linear multiple regression model suggests an action selection strategy which is an alternative to the BP action selection strategies draw and best. Furthermore, the inference process provided by a linear multiple regression model is a kind of short cut inference compared to the inference approach used in Bayesian networks or Bayesian Programming.

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The Advanced Ergonomics study at the European Space Operations Centre investigated the applicability of modern Human Computer Interfaces in the ground segment. The study used a human-centered design approach in all phases. The tasks and user needs were analyzed and a design, specifically targeted at collaboration and human computer interaction, was developed. The key functionalities of this design were implemented in a functional demonstrator, which was evaluated on-site by operators. The study's results were used for recommendations on how the ground segment human computer interfaces should evolve within the next decade. Nomenclature CWS= Collaborative Workspace EUD = EGOS User Desktop UDC = User Desktop for Collabotation I. IntroductionATELLITE Monitor and Control at the European Space Operations Centre (ESOC) in Darmstadt, Germany is composed of highly distributed tasks in a sophisticated socio-technical system, involving numerous workstations across multiple control rooms. The Advanced Ergonomics (AERG) study 1,2 , financed under a programme of the European Space Agency (ESA), investigated improved support of the existing collaborative processes as well as the possible benefits of advanced Human Computer Interaction (HCI) technologies.

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