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Assessing perceived route difficulty in environments with different complexity
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0009-0003-3414-8177
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-6398-8488
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0001-5629-0981
2024 (English)In: 16th International Conference on Spatial Information Theory (COSIT 2024) / [ed] Benjamin Adams; Amy L. Griffin; Simon Scheider; Grant McKenzie, Wadern: Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH , 2024, article id 29Conference paper, Published paper (Refereed)
Abstract [en]

Today, anyone feeling lost in a city or unsure about how to navigate can use navigation services to look up routes to where they want to go. Current research investigating these services has primarily focused on how to find an appropriate route and how to best support navigation along it, and not how routes and the maps they are presented on are perceived. What makes one route look more difficult to navigate than another? And how does experience with using navigation services and maps in daily life influence how difficult a route is perceived to be? We explored these questions in a survey study where participants rated the perceived difficulty of pedestrian routes in ten different cities. The results show that routes in more complex urban environments were perceived as more complex than routes in easier environments. At least partly, perceived difficulty seems to follow earlier conceptualizations of route complexity, but open questions remain regarding the interplay of environmental structure, route properties, and the map representation.

Place, publisher, year, edition, pages
Wadern: Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH , 2024. article id 29
Series
Leibniz International Proceedings in Informatics (LIPIcs), ISSN 1868-8969 ; 315
Keywords [en]
navigation complexity, perceived difficulty, route display, spatial cognition
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:umu:diva-230182DOI: 10.4230/LIPIcs.COSIT.2024.29Scopus ID: 2-s2.0-85205785774ISBN: 978-3-95977-330-0 (electronic)OAI: oai:DiVA.org:umu-230182DiVA, id: diva2:1901847
Conference
16th International Conference on Spatial Information Theory (COSIT 2024), Quebec City, Canada, September 17-20, 2024
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP)Available from: 2024-09-30 Created: 2024-09-30 Last updated: 2024-10-18Bibliographically approved

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Horned, ArvidFalomir, ZoeRichter, Kai-Florian

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CiteExportLink to record
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