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A location representation for generating descriptive walking directions
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Source International Conference on Intelligent User Interfaces archive
Proceedings of the 10th international conference on Intelligent user interfaces table of contents
San Diego, California, USA
SESSION: Long papers: visualization and presentation table of contents
Pages: 122 - 129  
Year of Publication: 2005
ISBN:1-58113-894-6
Authors
Gary Look  MIT Computer Science and Artificial Intelligence Laboratory, Cambridge MA
Buddhika Kottahachchi  MIT Computer Science and Artificial Intelligence Laboratory, Cambridge MA
Robert Laddaga  MIT Computer Science and Artificial Intelligence Laboratory, Cambridge MA
Howard Shrobe  MIT Computer Science and Artificial Intelligence Laboratory, Cambridge MA
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

An expressive representation for location is an important component in many applications. However, while many location-aware applications can reason about space at the level of coordinates and containment relationships, they have no way to express the semantics that define how a particular space is used. We present Lair, an ontology that addresses this problem by modeling both the geographical relationships between spaces as well as the functional purpose of a given space. We describe how Lair was used to create an application that produces walking directions comparable to those given by a person, and a pilot study that evaluated the quality of these directions. We also describe how Lair can be used to evaluate other intelligent user interfaces.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Gary Look: colleagues
Buddhika Kottahachchi: colleagues
Robert Laddaga: colleagues
Howard Shrobe: colleagues