Engelbrecht | Estimating Spoken Dialog System Quality with User Models | E-Book | sack.de
E-Book

E-Book, Englisch, 130 Seiten, eBook

Reihe: T-Labs Series in Telecommunication Services

Engelbrecht Estimating Spoken Dialog System Quality with User Models


2013
ISBN: 978-3-642-31591-6
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 130 Seiten, eBook

Reihe: T-Labs Series in Telecommunication Services

ISBN: 978-3-642-31591-6
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark



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.
Engelbrecht Estimating Spoken Dialog System Quality with User Models jetzt bestellen!

Zielgruppe


Professional/practitioner


Autoren/Hrsg.


Weitere Infos & Material


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.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.