000 03318nam a22005535i 4500
001 978-3-642-31591-6
003 DE-He213
005 20200421111658.0
007 cr nn 008mamaa
008 120803s2013 gw | s |||| 0|eng d
020 _a9783642315916
_9978-3-642-31591-6
024 7 _a10.1007/978-3-642-31591-6
_2doi
050 4 _aTK5102.9
050 4 _aTA1637-1638
050 4 _aTK7882.S65
072 7 _aTTBM
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aCOM073000
_2bisacsh
082 0 4 _a621.382
_223
100 1 _aEngelbrecht, Klaus-Peter.
_eauthor.
245 1 0 _aEstimating Spoken Dialog System Quality with User Models
_h[electronic resource] /
_cby Klaus-Peter Engelbrecht.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXIV, 130 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aT-Labs Series in Telecommunication Services,
_x2192-2810
505 0 _aMeMo-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.
520 _aSpoken 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.
650 0 _aEngineering.
650 0 _aUser interfaces (Computer systems).
650 0 _aAcoustical engineering.
650 0 _aElectrical engineering.
650 1 4 _aEngineering.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aUser Interfaces and Human Computer Interaction.
650 2 4 _aEngineering Acoustics.
650 2 4 _aCommunications Engineering, Networks.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642315909
830 0 _aT-Labs Series in Telecommunication Services,
_x2192-2810
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-31591-6
912 _aZDB-2-ENG
942 _cEBK
999 _c54855
_d54855