Spatial Cognition, An Interdisciplinary Approach to Representing and Processing Spatial Knowledge
Transfer of Spatial Knowledge from Virtual to Real Environments
Spatial Cognition II, Integrating Abstract Theories, Empirical Studies, Formal Methods, and Practical Applications
Elements of Good Route Directions in Familiar and Unfamiliar Environments
COSIT '99 Proceedings of the International Conference on Spatial Information Theory: Cognitive and Computational Foundations of Geographic Information Science
When and Why Are Visual Landmarks Used in Giving Directions?
COSIT 2001 Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science
From Language to Motion, and Back: Generating and Using Route Descriptions
NLP '00 Proceedings of the Second International Conference on Natural Language Processing
The Nature of Landmarks for Real and Electronic Spaces
COSIT '99 Proceedings of the International Conference on Spatial Information Theory: Cognitive and Computational Foundations of Geographic Information Science
Enriching Wayfinding Instructions with Local Landmarks
GIScience '02 Proceedings of the Second International Conference on Geographic Information Science
The Role of Global and Local Landmarks in Virtual Environment Navigation
Presence: Teleoperators and Virtual Environments
Automatic generation of tourist maps
ACM SIGGRAPH 2008 papers
Color Saliency and Inhibition Using Static and Dynamic Scenes in Region Based Visual Attention
Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint
Structural salience of landmarks for route directions
COSIT'05 Proceedings of the 2005 international conference on Spatial Information Theory
Developing Landmark-Based Pedestrian-Navigation Systems
IEEE Transactions on Intelligent Transportation Systems
Moving beyond the map: automated landmark based pedestrian guidance using street level panoramas
Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services
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Landmarks are fundamental elements for people to learn an environment. People use these landmarks to enrich their route descriptions (for example, when anchoring movements at decision points). Several automatic landmark identification and selection theories have been suggested in recent years. This paper evaluates these theories by comparing the landmarks identified by automatic landmark selection with landmark choices and behavioral characteristics of human participants moving in a virtual environment. This comparison of automatic selection and human behavior will improve our understanding of automatic landmark identification theories, and will facilitate a weighting of methods for navigation services to generate more human-like route descriptions.