Negar Alinaghi, Tiffany CK Kwok, Peter Kiefer, and Ioannis Giannopoulos

Data preprocessing.

Preprocessing steps applied to the GPS tracks.

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.

Leibniz International Proceedings in Informatics (LIPIcs), 12th International Conference on Geographic Information Science (GIScience), 277, 2023-09-07.

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IARAI Authors
Ioannis Giannopoulos
Traffic and Navigation
Eye Tracking, Machine Learning, Navigation, Wayfinding


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