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A dialog-driven process of generating route directions


Richter, K-F; Tomko, M; Winter, S (2008). A dialog-driven process of generating route directions. Computers, Environment and Urban Systems, 32(3):233-245.

Abstract

Humans adapt the instructions provided in route directions to the assumed spatial knowledge of the receivers; the majority of route directions is provided to wayfinders with at least partial spatial knowledge of the environment. However, today’s navigation systems assume no a-priori knowledge. Most of current research addresses this by exploring means to personalize assistance through the capture of knowledge about individual users. Accordingly, such systems require an extended learning phase. In this paper, an approach to adaptive route directions based on a combination of turn-by-turn directions and destination descriptions is presented. This approach does not rely on information on a wayfinder’s previous knowledge. Instead, a wayfinder can adjust the type and detail of the presented information via dialog. The paper focuses on the problem formalization and its algorithmic realization; the approach is generic with respect to the modality of the actual dialog (e.g., verbal or key-press based computer interfaces). The paper provides a contribution towards non-static, adaptive route direction services.

Abstract

Humans adapt the instructions provided in route directions to the assumed spatial knowledge of the receivers; the majority of route directions is provided to wayfinders with at least partial spatial knowledge of the environment. However, today’s navigation systems assume no a-priori knowledge. Most of current research addresses this by exploring means to personalize assistance through the capture of knowledge about individual users. Accordingly, such systems require an extended learning phase. In this paper, an approach to adaptive route directions based on a combination of turn-by-turn directions and destination descriptions is presented. This approach does not rely on information on a wayfinder’s previous knowledge. Instead, a wayfinder can adjust the type and detail of the presented information via dialog. The paper focuses on the problem formalization and its algorithmic realization; the approach is generic with respect to the modality of the actual dialog (e.g., verbal or key-press based computer interfaces). The paper provides a contribution towards non-static, adaptive route direction services.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Uncontrolled Keywords:Route directions, Destination description, Turn-by-turn directions
Language:English
Date:May 2008
Deposited On:20 Oct 2008 07:34
Last Modified:18 Feb 2018 09:30
Publisher:Elsevier
ISSN:0198-9715
OA Status:Green
Publisher DOI:https://doi.org/10.1016/j.compenvurbsys.2008.02.002

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