License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.COSIT.2017.15
URN: urn:nbn:de:0030-drops-77497
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Jonietz, David ; Kiefer, Peter

Uncertainty in Wayfinding: A Conceptual Framework and Agent-Based Model

LIPIcs-COSIT-2017-15.pdf (0.9 MB)


Though the wayfinding process is inherently uncertain, most models of wayfinding do not offer sufficient possibilities for modeling uncertainty. Such modeling approaches, however, are required to engineer assistance systems that recognize, predict, and react to a wayfinder's uncertainty. This paper introduces a conceptual framework for modeling uncertainty in wayfinding. It is supposed that uncertainty when following route instructions in wayfinding is caused by non-deterministic spatial reference system transformations. The uncertainty experienced by a wayfinder varies over time and depends on how well wayfinding instructions fit with the environment. The conceptual framework includes individual differences regarding wayfinding skills and regarding uncertainty tolerance. It is implemented as an agent-based model, based on the belief-desire-intention (BDI) framework. The feasibility of the approach is demonstrated with agent-based simulations.

BibTeX - Entry

  author =	{David Jonietz and Peter Kiefer},
  title =	{{Uncertainty in Wayfinding: A Conceptual Framework and Agent-Based Model}},
  booktitle =	{13th International Conference on Spatial Information Theory (COSIT 2017)},
  pages =	{15:1--15:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-043-9},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{86},
  editor =	{Eliseo Clementini and Maureen Donnelly and May Yuan and Christian Kray and Paolo Fogliaroni and Andrea Ballatore},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-77497},
  doi =		{10.4230/LIPIcs.COSIT.2017.15},
  annote =	{Keywords: Wayfinding, Uncertainty, Agent-Based Model}

Keywords: Wayfinding, Uncertainty, Agent-Based Model
Collection: 13th International Conference on Spatial Information Theory (COSIT 2017)
Issue Date: 2017
Date of publication: 29.08.2017

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