Building natural language generation systems
Building natural language generation systems
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
Enriching Wayfinding Instructions with Local Landmarks
GIScience '02 Proceedings of the Second International Conference on Geographic Information Science
CORAL: using natural language generation for navigational assistance
ACSC '03 Proceedings of the 26th Australasian computer science conference - Volume 16
SmartKom mobile: intelligent ubiquitous user interaction
Proceedings of the 9th international conference on Intelligent user interfaces
Visual Salience and Reference Resolution in Simulated 3-D Environments
Artificial Intelligence Review
The first challenge on generating instructions in virtual environments
Empirical methods in natural language generation
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We present a system for the real-time generation of car navigation instructions with landmarks. Our system relies exclusively on freely available map data from OpenStreetMap, organizes its output to fit into the available time until the next driving maneuver, and reacts in real time to driving errors. We show that female users spend significantly less time looking away from the road when using our system compared to a baseline system.