Developing 3D information systems for mobile users: some usability issues
Proceedings of the second Nordic conference on Human-computer interaction
Alternate feature location for rapid navigation using a 3D map on a mobile device
Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia
Proceedings of the eleventh international conference on 3D web technology
Hierarchical building recognition
Image and Vision Computing
Navitime: Supporting Pedestrian Navigation in the Real World
IEEE Pervasive Computing
Embodied interaction with a 3D versus 2D mobile map
Personal and Ubiquitous Computing
Exploring the use of landmarks for mobile navigation support in natural environments
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
User experience of photorealistic urban pedestrian navigation
Proceedings of the International Working Conference on Advanced Visual Interfaces
How real is real enough? optimal reality sampling for fast recognition of mobile imagery
ACM Transactions on Applied Perception (TAP)
City scene: field trial of a mobile street-imagery-based navigation service
Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services
I want to view it my way: interfaces to mobile maps should adapt to the user's orientation skills
Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia
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An important activity in urban three-dimensional (3D) mobile navigation is browsing the buildings in the environment and matching them to those in the 3D city map. There are different factors affecting the recognition process such as changes in the appearances of buildings, weather, and illumination conditions. The current aim was to study the salience of different types of visual cues in the recognition of buildings in 3D maps in suboptimal conditions. A pilot laboratory experiment was conducted, in which test participants recognized buildings in a 3D city map using systematically prepared photographs as stimuli, and their cognitive processes were studied using the think aloud protocol. The results suggested that buildings in a 3D city map can be recognized based on a variety of different visual cues ranging from small details such as textual signs to the shape of the building and landmark features such as towers. The results also suggested that buildings are recognized relatively much based on their location and other buildings and objects in their surroundings.