Estimating Spoken Dialog System Quality with User Models

Klaus-Peter Engelbrecht

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English

Springer-Verlag Berlin and Heidelberg GmbH & Co. K
04 August 2012

Speech recognition

Series: T-Labs Series in Telecommunication Services

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.

By: Klaus-Peter Engelbrecht
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Publication: Germany
Edition: 2013 ed.
Dimensions: Height: 235mm, Width: 155mm, Spine: 9mm
Weight: 454g
ISBN: 9783642315909
ISBN 10: 3642315909
Series: T-Labs Series in Telecommunication Services
Pages: 130
Publication Date: 04 August 2012
Audience: College/higher education , Professional and scholarly , Further / Higher Education , Undergraduate
Format: Hardback
Publisher's Status: Active

MeMo-Usability Workbench.- Evaluation of the Memo User Simulation – Use-Case Inspire Smart Home System.- Detection of Usability Problems Using an Ad-Hoc User Simulation.- Prediction Of User Judgments.- Application of Prediction Models in a Realistic Usage Scenario.