A Context-Dependent Model of Proximity in Physically Situated Environments

John Kelleher, Geert-Jan M. Kruijff

Research output: Contribution to conferencePaperpeer-review

Abstract

The paper presents a computational model for a context-dependent analysis of a physical environment in terms of spatial proximity. The model provides a basis for grounding linguistic analyses of spatial expressions in visual perception. The model uses potential fields to model spatial proximity. It has been implemented, and when combined with a handcrafted grammar, is used to enable a conversational robot to carry out a situated dialogue with a human. The key concept in our approach is defining the region that is proximal to a landmark based on the spatial configuration of other objects in the scene. The model extends existing approaches to proximity by including object salience (visual, discourse) and interference effects between multiple objects that could act as landmarks. Theoretically, the model can help motivate the choice between topological and projective prepositions, and provides a basis for defining regions with vague spatial extent.
Original languageEnglish
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event2nd ACL-SIGSEM Workshop on The Linguistic Dimensions of Prepositions and their Use in Computational Linguistics Formalisms and Applications - Colchester, United Kingdom
Duration: 1 Apr 200530 Apr 2005

Conference

Conference2nd ACL-SIGSEM Workshop on The Linguistic Dimensions of Prepositions and their Use in Computational Linguistics Formalisms and Applications
Country/TerritoryUnited Kingdom
CityColchester
Period1/04/0530/04/05

Keywords

  • computational model
  • context-dependent analysis
  • spatial proximity
  • linguistic analyses
  • visual perception
  • potential fields
  • conversational robot
  • situated dialogue
  • landmark
  • spatial configuration
  • object salience
  • interference effects
  • topological prepositions
  • projective prepositions
  • vague spatial extent

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