<div class="csl-bib-body">
<div class="csl-entry">Alinaghi, N., Kwok, T. C. K., Kiefer, P., & Giannopoulos, I. (2023). Do You Need Instructions Again? Predicting Wayfinding Instruction Demand. In R. Beecham, J. A. Long, D. Smith, Z. Qunshan, & S. Wise (Eds.), <i>12th International Conference on Geographic Information Science (GIScience 2023)</i> (pp. 1:1-1:16). Schloss-Dagstuhl - Leibniz Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.GIScience.2023.1</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/192526
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dc.description.abstract
The demand for instructions during wayfinding, defined as the frequency of requesting instructions for each decision point, can be considered as an important indicator of the internal cognitive processes during wayfinding. This demand can be a consequence of the mental state of feeling lost, being uncertain, mind wandering, having difficulty following the route, etc. Therefore, it can be of great importance for theoretical cognitive studies on human perception of the environment. From an application perspective, this demand can be used as a measure of the effectiveness of the navigation assistance system. It is therefore worthwhile to be able to predict this demand and also to know what factors trigger it. This paper takes a step in this direction by reporting a successful prediction of instruction demand (accuracy of 78.4%) in a real-world wayfinding experiment with 45 participants, and interpreting the environmental, user, instructional, and gaze-related features that caused it.
en
dc.language.iso
en
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dc.relation.ispartofseries
Leibniz International Proceedings in Informatics
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dc.subject
Gaze Analysis
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dc.subject
Navigation Instructions
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dc.subject
Urban Computing
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dc.subject
Wayfinding
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dc.title
Do You Need Instructions Again? Predicting Wayfinding Instruction Demand
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dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.publication
12th International Conference on Geographic Information Science (GIScience 2023)
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dc.contributor.affiliation
ETH Zurich, Switzerland
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dc.contributor.affiliation
ETH Zurich, Switzerland
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dc.contributor.editoraffiliation
University of Leeds, United Kingdom of Great Britain and Northern Ireland (the)
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dc.contributor.editoraffiliation
Western University, Canada
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dc.contributor.editoraffiliation
University of Southampton, United Kingdom of Great Britain and Northern Ireland (the)
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dc.contributor.editoraffiliation
University of Glasgow, United Kingdom of Great Britain and Northern Ireland (the)
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dc.contributor.editoraffiliation
University College London, United Kingdom of Great Britain and Northern Ireland (the)
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dc.relation.isbn
978-3-95977-288-4
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dc.relation.doi
10.4230/LIPIcs.GIScience.2023
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dc.description.startpage
1:1
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dc.description.endpage
1:16
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
12th International Conference on Geographic Information Science (GIScience 2023)