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Spatial Interactions between Humans and Assistive Agents
California Polytechnic State University, San Luis Obispo CA, United States.
California Polytechnic State University, San Luis Obispo CA, United States.
SFB/TR 8 Spatial Cognition, University of Bremen, Bremen, Germany. (AASS)ORCID iD: 0000-0002-6290-5492
2011 (English)In: Help me help you: bridging the gaps in human-agent collaboration : papers from the AAAI Spring Symposium / [ed] Rajiv Maheswaran, Nathan Schurr, and Pedro Szekely, Menlo Park, Menlo Park, California, USA: AAAI press , 2011, p. 42-47Conference paper, Published paper (Refereed)
Abstract [en]

While computers assist humans with tasks such as navigation that involve spatial aspects, agents that can interact in a meaningful way in this context are still in their infancy. One core issue is the mismatch in the representation of spatial information a computer-based system is likely to use, and the one a human is likely to use. Computers are better suited for quantitative schemes such as maps or diagrams that rely on measurable distances between entities. Humans frequently use higher-level, domain-specific conceptual representations such as buildings, rooms, or streets for orientation purposes. Combined with the person-centric world view that we often assume when we refer to spatial information, it is challenging for agents to convert statements using spatial references into assertions that match their own internal representation. In this paper, we discuss an approach that uses natural language processing and information extraction tool kits to identify entities and statements about their spatial relations. These extractions are then processed by a spatial reasoner to convert them from the human conceptual space into the quantitative space used by the computer-based agent.

Place, publisher, year, edition, pages
Menlo Park, California, USA: AAAI press , 2011. p. 42-47
Series
AAAI Spring Symposium - Technical Report ; SS-11-05
Keywords [en]
Human-Agent Interaction, Spatial Cognition, Spatial Assistance Systems
National Category
Computer Sciences Human Computer Interaction
Identifiers
URN: urn:nbn:se:oru:diva-64258ISBN: 9781577354970 (print)OAI: oai:DiVA.org:oru-64258DiVA, id: diva2:1174465
Conference
2011 AAAI Spring Symposium, Stanford, CA, United States, March 21-23, 2011
Available from: 2018-01-15 Created: 2018-01-15 Last updated: 2022-06-28Bibliographically approved

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Bhatt, Mehul

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
  • html
  • text
  • asciidoc
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