4 research outputs found
The MATCH Corpus: A Corpus of Older and Younger Users' Interactions With Spoken Dialogue Systems.
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