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Location-aware information retrieval for identifying local and distant landmark

Published: 24 March 2014 Publication History

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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  • (2015)Landmark Information Retrieval Based on Name and Road Frequencies in Digital Road MapsProceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia10.1145/2837126.2837145(38-47)Online publication date: 11-Dec-2015

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  1. Location-aware information retrieval for identifying local and distant landmark

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    cover image ACM Conferences
    SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing
    March 2014
    1890 pages
    ISBN:9781450324694
    DOI:10.1145/2554850
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 24 March 2014

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    Author Tags

    1. landmark identification
    2. location-awareness
    3. wayfinding

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    SAC 2014: Symposium on Applied Computing
    March 24 - 28, 2014
    Gyeongju, Republic of Korea

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    SAC '14 Paper Acceptance Rate 218 of 939 submissions, 23%;
    Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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    • (2015)Landmark Information Retrieval Based on Name and Road Frequencies in Digital Road MapsProceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia10.1145/2837126.2837145(38-47)Online publication date: 11-Dec-2015

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