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Spatially Constrained Grammars for Mobile Intention Recognition

  • Peter Kiefer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5248)

Abstract

Mobile intention recognition is the problem of inferring a mobile agent’s intentions from her spatio-temporal behavior. The intentions an agent can have in a specific situation depend on the spatial context, and on the spatially contextualized behavior history. We introduce two spatially constrained grammars that allow for modeling of complex constraints between space and intentions, one based on Context-Free, one based on Tree-Adjoining Grammars. We show which of these formalisms is suited best for frequently occurring intentional patterns. We argue that our grammars are cognitively comprehensible, while at the same time helping to prune the search space for intention recognition.

Keywords

Intention recognition Mobile assistance systems 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Peter Kiefer
    • 1
  1. 1.Laboratory for Semantic Information TechnologiesOtto-Friedrich-University BambergBambergGermany

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