Summary of the paper

Title A Fully Annotated Corpus for Studying the Effect of Cognitive Ageing on Users’ Interactions with Spoken Dialogue Systems
Authors Kallirroi Georgila, Maria Wolters, Vasilis Karaiskos, Melissa Kronenthal, Robert Logie, Neil Mayo, Johanna Moore and Matt Watson
Abstract In this paper we present a corpus of interactions of older and younger users with nine different dialogue systems. The corpus has been fully transcribed and annotated with dialogue acts and “Information State Update” (ISU) representations of dialogue context. Users not only underwent a comprehensive battery of cognitive assessments, but they also rated the usability of each dialogue system on a standardised questionnaire. In this paper, we discuss the corpus collection and outline the semi-automatic methods we used for discourse-level annotations. We expect that the corpus will provide a key resource for modelling older people’s interaction with spoken dialogue systems.
Language Language-independent
Topics Corpus (creation, annotation, etc.), Dialogue & Natural Interactivity, Speech resource/database
Full paper A Fully Annotated Corpus for Studying the Effect of Cognitive Ageing on Users’ Interactions with Spoken Dialogue Systems
Slides A Fully Annotated Corpus for Studying the Effect of Cognitive Ageing on Users’ Interactions with Spoken Dialogue Systems
Bibtex @InProceedings{GEORGILA08.237,
  author = {Kallirroi Georgila, Maria Wolters, Vasilis Karaiskos, Melissa Kronenthal, Robert Logie, Neil Mayo, Johanna Moore and Matt Watson},
  title = {A Fully Annotated Corpus for Studying the Effect of Cognitive Ageing on Users’ Interactions with Spoken Dialogue Systems},
  booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
  year = {2008},
  month = {may},
  date = {28-30},
  address = {Marrakech, Morocco},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-4-0},
  note = {http://www.lrec-conf.org/proceedings/lrec2008/},
  language = {english}
  }

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