Spoken dialog systems have the potential to offer highly intuitive
user interfaces, as they allow systems to be controlled using
natural language. However, the complexity inherent in natural
language dialogs means that careful testing of the system must be
carried out from the very beginning of the design process. This
book examines how user models can be used to support such early
evaluations in two ways: by running simulations of dialogs, and by
estimating the quality judgments of users. First, a design
environment supporting the creation of dialog flows, the simulation
of dialogs, and the analysis of the simulated data is proposed. How
the quality of user simulations may be quantified with respect to
their suitability for both formative and summative evaluation is
then discussed. The remainder of the book is dedicated to the
problem of predicting quality judgments of users based on
interaction data. New modeling approaches are presented, which
process the dialogs as sequences, and which allow knowledge about
the judgment behavior of users to be incorporated into predictions.
All proposed methods are validated with example evaluation studies.
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