License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GIScience.2023.1
URN: urn:nbn:de:0030-drops-188963
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18896/
Go to the corresponding LIPIcs Volume Portal

Alinaghi, Negar ; Kwok, Tiffany C. K. ; Kiefer, Peter ; Giannopoulos, Ioannis

Do You Need Instructions Again? Predicting Wayfinding Instruction Demand

pdf-format:
LIPIcs-GIScience-2023-1.pdf (3 MB)

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.

BibTeX - Entry

@InProceedings{alinaghi_et_al:LIPIcs.GIScience.2023.1,
  author =	{Alinaghi, Negar and Kwok, Tiffany C. K. and Kiefer, Peter and Giannopoulos, Ioannis},
  title =	{{Do You Need Instructions Again? Predicting Wayfinding Instruction Demand}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{1:1--1:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/18896},
  URN =		{urn:nbn:de:0030-drops-188963},
  doi =		{10.4230/LIPIcs.GIScience.2023.1},
  annote =	{Keywords: Wayfinding, Navigation Instructions, Urban Computing, Gaze Analysis}
}

Keywords: Wayfinding, Navigation Instructions, Urban Computing, Gaze Analysis
Collection: 12th International Conference on Geographic Information Science (GIScience 2023)
Issue Date: 2023
Date of publication: 07.09.2023
Supplementary Material: Dataset: https://geoinfo.geo.tuwien.ac.at/resources/

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI