Estimating spoken dialog system quality with user models

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...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Engelbrecht, Klaus-Peter, 19..-
التنسيق: Livre numérique
اللغة:Anglais
منشور في: Berlin, Heidelberg : Springer Berlin Heidelberg 2013.
Cham : Springer Nature
سلاسل:T-Labs Series in Telecommunication Services
الوصول للمادة أونلاين:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
ملاحظة: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Estimating Spoken Dialog System Quality with User Models, Texte imprimé, 9783642315909
• Estimating Spoken Dialog System Quality with User Models, Texte imprimé, 9783642315923
• Estimating Spoken Dialog System Quality with User Models, Texte imprimé, 9783642431913
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245 1 0 |a Estimating spoken dialog system quality with user models   |c by Klaus-Peter Engelbrecht. 
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505 0 |a 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. 
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520 |a 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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