The MATCH corpus: a corpus of older and younger users’ interactions with spoken dialogue systems

Kallirroi Georgila, Maria Wolters, Johanna D. Moore, Robert H. Logie

Research output: Contribution to journalArticlepeer-review

Abstract

We present the MATCH corpus, a unique data set of 447 dialogues in which 26 older and 24 younger adults interact with nine different spoken dialogue systems. The systems varied in the number of options presented and the confirmation strategy used. The corpus also contains information about the users' cognitive abilities and detailed usability assessments of each dialogue system. The corpus, which was collected using a Wizard-of-Oz methodology, has been fully transcribed and annotated with dialogue acts and ''Information State Update'' (ISU) representations of dialogue context. Dialogue act and ISU annotations were performed semi-automatically. In addition to describing the corpus collection and annotation, we present a quantitative analysis of the interaction behaviour of older and younger users and discuss further applications of the corpus. We expect that the corpus will provide a key resource for modelling older people's interaction with spoken dialogue systems.
Original languageEnglish
Pages (from-to)221-261
Number of pages41
JournalLanguage Resources and Evaluation
Volume44
Issue number3
DOIs
Publication statusPublished - Sep 2010

Keywords

  • Spoken dialogue corpora
  • Spoken dialogue systems
  • Cognitive ageing
  • Annotation
  • Information states
  • Speech acts
  • User simulations
  • Speech recognition

Fingerprint Dive into the research topics of 'The MATCH corpus: a corpus of older and younger users’ interactions with spoken dialogue systems'. Together they form a unique fingerprint.

Cite this