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Multimodal Technologies Interact. 2019, 3(1), 22; https://doi.org/10.3390/mti3010022

Cartographic Visualization for Indoor Semantic Wayfinding

Institute of Cartography and Geoinformation, ETH Zurich, 8093 Zurich, Switzerland
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Received: 4 February 2019 / Revised: 21 March 2019 / Accepted: 23 March 2019 / Published: 26 March 2019
(This article belongs to the Special Issue Interactive 3D Cartography)
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Abstract

In recent years, pedestrian navigation assistance has been used by an increasing number of people to support wayfinding tasks. Especially in unfamiliar and complex indoor environments such as universities and hospitals, the importance of an effective navigation assistance becomes apparent. This paper investigates the feasibility of the indoor landmark navigation model (ILNM), a method for generating landmark-based routing instructions, by combining it with indoor route maps and conducting a wayfinding experiment with human participants. Within this context, three different cartographic visualization scenarios were designed and evaluated. Two of these scenarios were based on the implementation of the ILNM algorithm, with the concurrent effort to overcome the challenge of representing the semantic navigation instructions in two different ways. In the first scenario, the selected landmarks were visualized as pictograms, while in the second scenario, an axonometric-based design philosophy for the depiction of landmarks was followed. The third scenario was based on the benchmark approach (metric-based routing instructions) for conveying routing instructions to the users. The experiment showed that the implementation of the ILNM was feasible, and, more importantly, it was beneficial in terms of participants’ navigation performance during the wayfinding experiment, compared to the metric-based instructions scenario (benchmark for indoor navigation). Valuable results were also obtained, concerning the most suitable cartographic approach for visualizing the selected landmarks, while implementing this specific algorithm (ILNM). Finally, our findings confirm that the existence of landmarks, not only within the routing instructions, but also as cartographic representations on the route map itself, can significantly help users to position themselves correctly within an unfamiliar environment and to improve their navigation performance. View Full-Text
Keywords: indoor navigation assistance; landmarks in routing instructions; indoor landmark navigation model; pictograms indoor navigation assistance; landmarks in routing instructions; indoor landmark navigation model; pictograms
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Bakogiannis, N.; Gkonos, C.; Hurni, L. Cartographic Visualization for Indoor Semantic Wayfinding. Multimodal Technologies Interact. 2019, 3, 22.

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