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Estimating Spoken Dialog System Quality with User Models

Kataloginformation Katalogdatensatz500177047 .

Kataloginformation
Feldname	Details
Vorliegende Sprache	eng
Hinweise auf parallele Ausgaben	372381340 Buchausg. u.d.T.: ‡Engelbrecht, Klaus-Peter: Estimating spoken dialog system quality with user models
ISBN	978-3-642-31590-9
Name	Engelbrecht, Klaus-Peter
T I T E L	Estimating Spoken Dialog System Quality with User Models
Verlagsort	Berlin, Heidelberg
Verlag	Springer
Erscheinungsjahr	2013
Erscheinungsjahr	2013
Umfang	Online-Ressource (XIV, 127 p. 25 illus, digital)
Reihe	T-Labs Series in Telecommunication Services
Notiz / Fußnoten	Description based upon print version of record
Weiterer Inhalt	Estimating Spoken Dialog System Quality with User Models; Preface; Contents; Abbreviations; 1 Introduction; 1.1…Quality of Spoken Dialog Systems; 1.2…Ensuring that the System will not Fail: Usability Engineering; 1.3…Automatic Evaluation of Spoken Dialog Systems; 1.4…Evaluation Versus Learning of the ''Optimal Strategy''; 1.5…Outline and Aim of this Work; 2 MeMo: Usability Workbench; 2.1…Model Creation in the MeMo Workbench; 2.1.1 System Model; 2.1.2 User Model; 2.1.3 User Group Editor; 2.1.4 Speech Understanding Error Simulation; 2.2…Reporting; 2.2.1 Formative Usability Report. 2.2.2 Summative Report2.3…Chapter Summary; 3 Evaluation of the MeMo User Simulation---Use Case Inspire Smart Home System; 3.1…Modeling the INSPIRE Smart-Home System in MeMo; 3.2…Modeling the Experiment; 3.2.1 Rules for the Simulation; 3.3…Analysis of Simulated Corpora Using Standard Metrics; 3.3.1 Results; 3.3.1.1 High-Level Features; 3.3.1.2 Precision and Recall; 3.3.2 Comparison to Differences Between Real User Corpora; 3.3.2.1 Experiment 2 Data; 3.3.2.2 High-Level Features; 3.3.2.3 Precision and Recall; 3.4…Manual, Formative Analysis. 3.4.1 Analysis of User Actions Not Recalled by the Simulation3.4.1.1 ''Mental Model'' problem, incl. generation of new AVPs; 3.4.1.2 Flexibility in User Behavior; 3.4.1.3 Lack of Variety in Simulated User Behavior; 3.4.1.4 System Feature Not Implemented in System Model; 3.4.1.5 Experimental Artifacts; 3.4.2 Analysis of Entire Dialogs; 3.5…Discussion; 3.6…Chapter Summary; 4 Detection of Usability Problems Using an Ad-Hoc User Simulation; 4.1…Outline of the Study; 4.1.1 Experimental Data; 4.1.2 System Model; 4.1.3 User Models; 4.1.4 Speech Understanding Error Model. 7.3…An Integrated Approach. 4.2…Detection of Usability Problems4.2.1 Creating a List of Usability Problems from the Real User Data; 4.2.2 Classification and Analysis of Problems; 4.2.3 Problem Discovery in the Simulated Corpora; 4.2.4 Preparation of Data for Log File Inspection; 4.3…Discussion; 4.5…Chapter Summary; 5 Prediction of User Judgments; 5.1…Data Collection; 5.1.1 Collection of Quality Issues; 5.1.2 Selection of the System; 5.1.3 Conducting the Experiment; 5.1.4 Analysis of Judgments; 5.2…Modeling; 5.2.1 Performance Measurement; 5.2.1.1 Data Structure; 5.2.1.2 Interaction Parameters and Feature Selection. 5.2.1.3 Performance Measures5.2.2 Baseline Model with Linear Regression; 5.2.3 Modeling the Data with Markov Chains; 5.2.4 Modeling the Data with Hidden Markov Models; 5.3…Application to Data with Final Judgments; 5.3.1 Database; 5.3.2 Model Training; 5.3.3 Results; 5.4…Discussion; 5.5…Chapter Summary; 6 Application of Prediction Models in a Realistic Usage Scenario; 6.1…Outline of the Study; 6.2…Results for Real Data; 6.3…Results for Simulated Data; 6.4…Discussion; 6.5…Chapter Summary; 7 Conclusions and Future Work; 7.1…Evaluation Framework; 7.2…Modeling of User Judgments and Behavior
Titelhinweis	Buchausg. u.d.T.: ‡Engelbrecht, Klaus-Peter: Estimating spoken dialog system quality with user models
ISBN	ISBN 978-3-642-31591-6
	ISBN 1-283-63142-3 ebk
	ISBN 978-1-283-63142-6 MyiLibrary
Klassifikation	TTBM
	UYS
	TEC008000
	COM073000
	621.382
	TK5102.9
	TA1637-1638
	TK7882.S65
	ST 306
Kurzbeschreibung	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.
1. Schlagwortkette	Dialogsystem
	Natürlichsprachiges System
	Gesprochene Sprache
	Benutzermodell
	Leistungsbewertung
	Benutzerfreundlichkeit
	Sprachqualität
	Simulation
	Testen
	Benutzerverhalten
SWB-Titel-Idn	373431686
Signatur	Springer E-Book
Bemerkungen	Elektronischer Volltext - Campuslizenz
Elektronische Adresse	$uhttp://dx.doi.org/10.1007/978-3-642-31591-6
Internetseite / Link	Volltext
Siehe auch	Inhaltsverzeichnis
Siehe auch	Inhaltstext
Siehe auch	Volltext
Siehe auch	Cover

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