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Context-specific Route Directions

Generation of Cognitively Motivated Wayfinding Instructions

(Autor)

Buch | Softcover
214 Seiten
2008
IOS Press (Verlag)
978-1-58603-852-6 (ISBN)
CHF 112,85 inkl. MwSt
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Route directions assist people in unfamiliar environments. In order to be useful, these route directions should reflect human conceptualization of wayfinding situations, and they should cover the spatial situations to be encountered while following a route. This work presents Guard - a process for generating context-specific route directions.
Route directions assist people in unfamiliar environments. In order to be useful, these route directions should reflect human conceptualization of wayfinding situations, they should be well memorable and they should cover the spatial situations to be encountered while following a route. In this work Guard is presented: a process for generating context-specific route directions that cover these properties. The route directions generated by Guard explicitly take into account environmental characteristics and route properties. They implement principles of good route directions, both from a cognitive and a representation-theoretic perspective, for example, the inclusion of landmarks and combining several consecutive instructions into a single one (so-called spatial chunking).The generation of route directions is realized as an optimization process that selects those instructions that ease conceptualization the most. The process results in a sequence of chunks, each representing an instruction for following the given route. Results of this work are twofold.
On the one hand, it provides a thorough analysis of route directions from a representation-theoretic perspective resulting in systematics of elements that can be employed in generating route directions. On the other hand, it provides a process for generating route directions which is designed to ease, including further and new findings in cognitive science and may serve as a test-bed for empirical studies.
Erscheint lt. Verlag 1.4.2008
Reihe/Serie Dissertations in Artificial Intelligence: Infix ; v. 314
Sprache englisch; deutsch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
ISBN-10 1-58603-852-4 / 1586038524
ISBN-13 978-1-58603-852-6 / 9781586038526
Zustand Neuware
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