3 Search Results for "Mazurkiewicz, Bartosz"

Document
DOI: 10.4230/LIPIcs.COSIT.2022.6
Rethinking Route Choices! On the Importance of Route Selection in Wayfinding Experiments

Authors: Bartosz Mazurkiewicz, Markus Kattenbeck, and Ioannis Giannopoulos

Published in: LIPIcs, Volume 240, 15th International Conference on Spatial Information Theory (COSIT 2022)

Abstract
Route selection for a wayfinding experiment is not a trivial task and is often made in an undocumented way. Only recently (2021), a systematic, reproducible and score-based approach for route selection for wayfinding experiments was published. However, it is still unclear how robust study results are across all potential routes in a particular experimental area. An important share of routes might lead to different conclusions than most routes. This share would distort and/or invert the study outcome. If so, the question of selecting routes that are unlikely to distort the results of our wayfinding experiments remains unanswered. In order to answer these questions, an agent-based simulation study with four different sample sizes (N = 15, 25, 50, 3000 agents) comparing Turn-by-Turn and Free Choice Navigation approaches (between-subject design) regarding their arrival rates on more than 11000 routes in the city center of Vienna, Austria, was run. The results of our study indicate that with decreasing sample size, there is an increase in the share of routes which lead to contradictory results regarding the arrival rate, i.e., the results become less robust. Therefore, based on simulation results, we present an approach for selecting suitable routes even for small-scale in-situ studies.
Cite as

Bartosz Mazurkiewicz, Markus Kattenbeck, and Ioannis Giannopoulos. Rethinking Route Choices! On the Importance of Route Selection in Wayfinding Experiments. In 15th International Conference on Spatial Information Theory (COSIT 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 240, pp. 6:1-6:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@InProceedings{mazurkiewicz_et_al:LIPIcs.COSIT.2022.6,
  author =	{Mazurkiewicz, Bartosz and Kattenbeck, Markus and Giannopoulos, Ioannis},
  title =	{{Rethinking Route Choices! On the Importance of Route Selection in Wayfinding Experiments}},
  booktitle =	{15th International Conference on Spatial Information Theory (COSIT 2022)},
  pages =	{6:1--6:13},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-257-0},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{240},
  editor =	{Ishikawa, Toru and Fabrikant, Sara Irina and Winter, Stephan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2022.6},
  URN =		{urn:nbn:de:0030-drops-168916},
  doi =		{10.4230/LIPIcs.COSIT.2022.6},
  annote =	{Keywords: Route Selection, Route Features, Human Wayfinding, Navigation, Experiments, Experimental Design}
}
Document
DOI: 10.4230/LIPIcs.GIScience.2021.II.9
Navigating Your Way! Increasing the Freedom of Choice During Wayfinding

Authors: Bartosz Mazurkiewicz, Markus Kattenbeck, and Ioannis Giannopoulos

Published in: LIPIcs, Volume 208, 11th International Conference on Geographic Information Science (GIScience 2021) - Part II

Abstract
Using navigation assistance systems has become widespread and scholars have tried to mitigate potentially adverse effects on spatial cognition these systems may have due to the division of attention they require. In order to nudge the user to engage more with the environment, we propose a novel navigation paradigm called Free Choice Navigation balancing the number of free choices, route length and number of instructions given. We test the viability of this approach by means of an agent-based simulation for three different cities. Environmental spatial abilities and spatial confidence are the two most important modeled features of our agents. Our results are very promising: Agents could decide freely at more than 50% of all junctions. More than 90% of the agents reached their destination within an average distance of about 125% shortest path length.
Cite as

Bartosz Mazurkiewicz, Markus Kattenbeck, and Ioannis Giannopoulos. Navigating Your Way! Increasing the Freedom of Choice During Wayfinding. In 11th International Conference on Geographic Information Science (GIScience 2021) - Part II. Leibniz International Proceedings in Informatics (LIPIcs), Volume 208, pp. 9:1-9:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{mazurkiewicz_et_al:LIPIcs.GIScience.2021.II.9,
  author =	{Mazurkiewicz, Bartosz and Kattenbeck, Markus and Giannopoulos, Ioannis},
  title =	{{Navigating Your Way! Increasing the Freedom of Choice During Wayfinding}},
  booktitle =	{11th International Conference on Geographic Information Science (GIScience 2021) - Part II},
  pages =	{9:1--9:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-208-2},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{208},
  editor =	{Janowicz, Krzysztof and Verstegen, Judith A.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2021.II.9},
  URN =		{urn:nbn:de:0030-drops-147680},
  doi =		{10.4230/LIPIcs.GIScience.2021.II.9},
  annote =	{Keywords: Agent-based Simulation, Wayfinding, Free Choice Navigation}
}
Document
DOI: 10.4230/LIPIcs.GIScience.2021.I.8
Not Arbitrary, Systematic! Average-Based Route Selection for Navigation Experiments

Authors: Bartosz Mazurkiewicz, Markus Kattenbeck, Peter Kiefer, and Ioannis Giannopoulos

Published in: LIPIcs, Volume 177, 11th International Conference on Geographic Information Science (GIScience 2021) - Part I (2020)

Abstract
While studies on human wayfinding have seen increasing interest, the criteria for the choice of the routes used in these studies have usually not received particular attention. This paper presents a methodological framework which aims at filling this gap. Based on a thorough literature review on route choice criteria, we present an approach that supports wayfinding researchers in finding a route whose characteristics are as similar as possible to the population of all considered routes with a predefined length in a particular area. We provide evidence for the viability of our approach by means of both, synthetic and real-world data. The proposed method allows wayfinding researchers to justify their route choice decisions, and it enhances replicability of studies on human wayfinding. Furthermore, it allows to find similar routes in different geographical areas.
Cite as

Bartosz Mazurkiewicz, Markus Kattenbeck, Peter Kiefer, and Ioannis Giannopoulos. Not Arbitrary, Systematic! Average-Based Route Selection for Navigation Experiments. In 11th International Conference on Geographic Information Science (GIScience 2021) - Part I. Leibniz International Proceedings in Informatics (LIPIcs), Volume 177, pp. 8:1-8:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

Copy BibTex To Clipboard

@InProceedings{mazurkiewicz_et_al:LIPIcs.GIScience.2021.I.8,
  author =	{Mazurkiewicz, Bartosz and Kattenbeck, Markus and Kiefer, Peter and Giannopoulos, Ioannis},
  title =	{{Not Arbitrary, Systematic! Average-Based Route Selection for Navigation Experiments}},
  booktitle =	{11th International Conference on Geographic Information Science (GIScience 2021) - Part I},
  pages =	{8:1--8:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-166-5},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{177},
  editor =	{Janowicz, Krzysztof and Verstegen, Judith A.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2021.I.8},
  URN =		{urn:nbn:de:0030-drops-130437},
  doi =		{10.4230/LIPIcs.GIScience.2021.I.8},
  annote =	{Keywords: Route Selection, Route Features, Human Wayfinding, Navigation, Experiments, Replicability}
}
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