The FogDetector: A User Survey to Measure Disorientation in Pan-Scalar Maps (Short Paper)

Authors Guillaume Touya , Justin Berli



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Author Details

Guillaume Touya
  • LASTIG, Univ Gustave Eiffel, IGN-ENSG, F-77420 Champs-sur-Marne, France
Justin Berli
  • LASTIG, Univ Gustave Eiffel, IGN-ENSG, F-77420 Champs-sur-Marne, France

Acknowledgements

The authors want to thank all the anonymous participants of the FogDetector survey

Cite AsGet BibTex

Guillaume Touya and Justin Berli. The FogDetector: A User Survey to Measure Disorientation in Pan-Scalar Maps (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 73:1-73:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/LIPIcs.GIScience.2023.73

Abstract

When we navigate into interactive multi-scale maps that we call pan-scalar maps, it is usual to feel disoriented. This is partly due to the fact that map views do not always contain visual cues of the location of the past map views of the navigation. This paper presents an online study that seeks to understand and measure this disorientation occurring when zooming in or out of a pan-scalar map. An online study was designed and more than 150 participants finished the survey. The study shows a very small difference between the time to succeed in the memorising task after a zoom and a pan, but the difference is more significant when we compare zooming in with a large scale gap to panning. The study also shows that disorientation is not similar when zooming in and zooming out.

Subject Classification

ACM Subject Classification
  • Applied computing → Cartography
Keywords
  • disorientation
  • zoom
  • pan
  • multi-scale map
  • desert fog
  • user survey

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