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Welcome
Overview of R1-[ImageSpace]
Mental reasoning about spatial environments often uses spatio-analogical or quasipictorial representation structures. As human working memory for spatio-analogical knowledge processing is severely restricted in capacity, mental processes dynamically construct and explore task-sensitive representations to obtain a desired spatial information. The goal of the project is to model the construction and inspection of mental representations of spatial environments and to explore these models computationally. The project will be carried out from an interdisciplinary perspective. The project aims at designing and implementing a diagrammatic processing architecture that serves as a computational description of the corresponding mental processes. We will analyze the dynamic operation of the architecture, and we will investigate the feedback characteristics between the different processing instances involved. This analysis of the model will lead to iterated design steps and extensions of the model. The resulting models will be applied in a prototypical spatial task assistance system that complements internal representations by external representations interactively to compensate mental processing restrictions.
Navigating the R1-[ImageSpace] Site
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