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Erschienen in: GeoInformatica 2/2009

01.06.2009

Urban granularities—a data structure for cognitively ergonomic route directions

verfasst von: Alexander Klippel, Stefan Hansen, Kai-Florian Richter, Stephan Winter

Erschienen in: GeoInformatica | Ausgabe 2/2009

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Abstract

This paper addresses a data structure specification for route directions that incorporates essential aspects of cognitive information processing. Specifically, we characterize levels of granularity in route directions as the result of the hierarchical organization of urban spatial knowledge. We discuss changes of granularity in route directions that result from combining elementary route information into higher-order elements (so called spatial chunking). We provide a framework that captures the pertinent aspects of spatial chunking. The framework is based on established principles used—from a cognitive perspective—for changing the granularity in route directions. The data structure we specify based on this framework allows us to bridge the gap between results from behavioral cognitive science studies and requirements of information systems. We discuss the theoretical underpinning of the core elements of the data structure and provide examples for its application.

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Fußnoten
1
This distinction is reflected by differentiating on-line—route directions given while an agent is traveling—and in advance route directions—route directions given prior to the actual travel [16], [44]. A classification of different route direction styles is provided by [27].
 
2
The complete specification of this data structure is available as a technical report [18].
 
4
This observation holds for most intersections. Special cases such as highway exits or roundabouts where directions can be given in form or ordering information, e.g., third exit require an extension.
 
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Metadaten
Titel
Urban granularities—a data structure for cognitively ergonomic route directions
verfasst von
Alexander Klippel
Stefan Hansen
Kai-Florian Richter
Stephan Winter
Publikationsdatum
01.06.2009
Verlag
Springer US
Erschienen in
GeoInformatica / Ausgabe 2/2009
Print ISSN: 1384-6175
Elektronische ISSN: 1573-7624
DOI
https://doi.org/10.1007/s10707-008-0051-6

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