Yoshihide Hosokawa
ABSTRACT
Two types of locations are important for wayfinding which is an essential process of determining persons' routes, and of identifying their own locations and orientations. Locations of the first type are related to their routes. Locations of the second type improve their wayfinding. Landmarks are prominent locations and are often used as this type.
This paper presents a new implementation method for finding landmarks as the second type. There are two major advantages of it. One of the advantages is that the method estimates human judged distances among locations by the Gaussian weighting factor. The distances are used for identifying local landmarks. Local landmarks are prominent locations near the users' own locations and greatly reduce critical wayfinding failures. Another advantage is that the prominence degrees of locations are computed from the occurrence of the location names in digital maps. Such occurrence is a common attribute among the maps. In this way, the method utilizes only the digital maps as information of locations.
To examine the effectiveness of the proposed method, several experiments were conducted using 80 subjects. From the results, the subjects accepted around 75 % of landmarks that the method identified. Furthermore, around 20 % more users were assisted by using it than by using Google Maps.
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Index Terms
- Location-aware information retrieval for identifying local and distant landmark
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