Stähli, L., Giannopoulos, I., & Raubal, M. (2021). Evaluation of pedestrian navigation in Smart Cities. Environment and Planning B: Urban Analytics and City Science, 48(6), 1728–1745. https://doi.org/10.1177/2399808320949538
Environment and Planning B: Urban Analytics and City Science
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ISSN:
2399-8083
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Date (published):
2021
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Number of Pages:
18
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Peer reviewed:
Yes
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Keywords:
Architecture; Urban Studies; Smart City; Augmented Reality; Pedestrian navigation; Landmarks; Management, Monitoring, Policy and Law; Geography, Planning and Development; Public Display; Virtual Environment; Nature and Landscape Conservation
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Abstract:
This work addresses recent research in the area of pedestrian navigation aids that aims at finding alternatives to the widely used map-based turn-by-turn navigation systems in the context of Smart City environments. Four different approaches of pedestrian navigation systems were compared to each other in a user experiment that was conducted in a virtual environment: (1) map-based, (2) landmark-based, (3) augmented reality, and (4) public display navigation. The results of the experiment with 45 participants conducted in a virtual environment suggest that the augmented reality navigation performs best concerning efficiency and effectiveness and the landmark-based navigation performs worst in the context of Smart Cities.
This work addresses recent research in the area of pedestrian navigation aids that aims at finding alternatives to the widely used map-based turn-by-turn navigation systems in the context of Smart City environments. Four different approaches of pedestrian navigation systems were compared to each other in a user experiment that was conducted in a virtual environment: (1) map-based, (2) landmark-based, (3) augmented reality, and (4) public display navigation. The results of the experiment with 45 participants conducted in a virtual environment suggest that the augmented reality navigation performs best concerning efficiency and effectiveness and the landmark-based navigation performs worst in the context of Smart Cities.
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Research Areas:
außerhalb der gesamtuniversitären Forschungsschwerpunkte: 100%
