2026-07-24T05:15:45Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:13043 2024-03-06T10:51:25Z ddc:004 open_access

Not Arbitrary, Systematic! Average-Based Route Selection for Navigation Experiments Mazurkiewicz, Bartosz Kattenbeck, Markus Kiefer, Peter Giannopoulos, Ioannis Route Selection Route Features Human Wayfinding Navigation Experiments Replicability 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Bartosz Mazurkiewicz and Markus Kattenbeck and Peter Kiefer and Ioannis Giannopoulos 2020 Is Part Of LIPIcs, Volume 177, 11th International Conference on Geographic Information Science (GIScience 2021) - Part I (2020) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.GIScience.2021.I.8 urn:nbn:de:0030-drops-130437 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2021.I.8 eng https://creativecommons.org/licenses/by/3.0/legalcode