License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.05491.6
URN: urn:nbn:de:0030-drops-9836
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2007/983/
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Tenbrink, Thora

Methods for analyzing natural discourse: Investigating spatial language in HRI vs. in a no-feedback web study

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Abstract

The focus of interest in my research lies in the investigation of spontaneously produced natural language used to refer to the spatial position of a goal object. In this short paper I compare two central elicitation scenarios which have been useful for the investigation of speakers' strategies to achieve given discourse purposes by using spatial reference: a no-feedback web study and a
human-robot interaction scenario. In both cases the task was to identify one out of several similar objects in a configuration by using spatial reference. The results of the two kinds of studies show a number of important systematic differences as well as striking parallels with respect to speakers' conceptual and linguistic strategies.

BibTeX - Entry

@InProceedings{tenbrink:DagSemProc.05491.6,
  author =	{Tenbrink, Thora},
  title =	{{Methods for analyzing natural discourse: Investigating spatial language in HRI vs. in a no-feedback web study}},
  booktitle =	{Spatial Cognition: Specialization and Integration},
  pages =	{1--10},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2007},
  volume =	{5491},
  editor =	{Anthony G. Cohn and Christian Freksa and Bernhard Nebel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2007/983},
  URN =		{urn:nbn:de:0030-drops-9836},
  doi =		{10.4230/DagSemProc.05491.6},
  annote =	{Keywords: Human robot interaction, discourse, spatial reference}
}

Keywords: Human robot interaction, discourse, spatial reference
Collection: 05491 - Spatial Cognition: Specialization and Integration
Issue Date: 2007
Date of publication: 25.04.2007

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