Hilke Garbe

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Modelling drivers' behaviour is essential for developing error compensating assistance systems (Cacciabue, 2007). Salvucci (2007) recommends one of those, the Two-Point Visual Control Model of Steering (TPVCMOS; Salvucci & Gray, 2004), as the backbone of an integrated cognitive architecture. We discuss the shortcomings of this model from two standpoints:(More)
The Human Centered Design (HCD) of Partial Autonomous Driver Assistance Systems (PADAS) requires Digital Human Models (DHMs) of human control strategies for simulations of traffic scenarios. The scenarios can be regarded as problem situations with one or more (partial) cooperative problem solvers. According to their roles models can be descriptive or(More)
We describe a new knowledge acquisition tool that enabled us to develop a dialog system recommending software design patterns by asking critical questions. This assistance system is based on interviews with experts. For the interviews we adopted the repertory grid method and integrated formal concept analysis. The repertory grid method stimulates the(More)
The Human Centered Design (HCD) of Partial Autonomous Driver Assistance Systems (PADAS) requires Digital Human Models (DHMs) of human control strategies for traffic scenario simulations. We present a refined model architecture for generating descriptive control models of human drivers: Bayesian Autonomous Driver (BAD) models. They are based on [1-3] and(More)
Situation Awareness (SA) is defined as the perception of elements in the environment within a volume of time and space, the comprehension of their meaning, and the projection of their status in the near future [1]. Lacking SA or having inadequate SA has been identified as one of the primary factors in accidents attributed to human error [2]. In this paper(More)
The integration of business information systems is an important task for enterprises, with an increasing demand on the level of integration. While most integration projects in the past concentrated on the integration of data used by different applications, today the focus is on the integration of the applications themselves. Furthermore there already is a(More)
The main goal of this paper is the presentation of a new <b>GR</b>eedy knowledge <b>A</b>cquisition <b>P</b>rocedure (GRAP) for rapid prototyping of knowledge structures (KS) or spaces. The classical knowledge acquisition method for this [2] is even for domain experts cognitive demanding and computational complex. GRAP interactively generates an online(More)
This paper reflects on the possibilities to specify IDLEs (Intelligent Distributed Learning Environments). These are distributed multi-party eLearning environments with AI-components (generative expert systems, learner models, etc). IDLEs offer intelligent, learner adapted, anytime services to learners (eg. e-diagnosis of solution proposals, e-consulting in(More)