Cyberguide: a mobile context-aware tour guide
Wireless Networks - Special issue: mobile computing and networking: selected papers from MobiCom '96
Where on-line meets on the streets: experiences with mobile mixed reality games
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Spatial and Cognitive Simulation with Multi-agent Systems
COSIT 2001 Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science
Analyzing Relative Motion within Groups of Trackable Moving Point Objects
GIScience '02 Proceedings of the Second International Conference on Geographic Information Science
Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
Interpretation of intentional behavior in spatial partonomies
Spatial cognition III
Geogames: Designing Location-Based Games from Classic Board Games
IEEE Intelligent Systems
Spatially Constrained Grammars for Mobile Intention Recognition
Proceedings of the international conference on Spatial Cognition VI: Learning, Reasoning, and Talking about Space
Time geography inverted: recognizing intentions in space and time
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
The Design and Evaluation of Task Assignment Algorithms for GWAP-based Geospatial Tagging Systems
Mobile Networks and Applications
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The problem of interpreting the trajectories of a person (user) moving in a spatial environment is fundamental for the design of any location-based application. We argue that in order to correctly assign a meaning to the spatial behavior encoded by the trajectory, it is necessary to express the meaning in terms of the user's intentions, more specifically, the goals that the user intends to achieve. Along the trajectory, these intentions will change frequently because the user's initial goal is decomposed into sequences of subgoals. The paper proposes a representational formalism and a reasoning mechanism for knowledge about an agent who acts according to changing intentions: spatially grounded intentional systems. An objective consists in making the representation as expressive as possible without running into a behavior interpretation problem that is computationally intractable. The approach is shown to be sufficiently expressive to model the interaction between intentions and behavior in a location-based game, CityPoker.