Summary of the paper

Title Estimation Method of User Satisfaction Using N-gram-based Dialog History Model for Spoken Dialog System
Authors Sunao Hara, Norihide Kitaoka and Kazuya Takeda
Abstract In this paper, we propose an estimation method of user satisfaction for aspoken dialog system using an N-gram-based dialog history model. We havecollected a large amount of spoken dialog data accompanied by usabilityevaluation scores by users in real environments. The database is made by afield-test in which naive users used a client-server music retrieval systemwith a spoken dialog interface on their own PCs. An N-gram model is trainedfrom the sequences that consist of users' dialog acts and/or the system'sdialog acts for each one of six user satisfaction levels: from 1 to 5 and φ(task not completed). Then, the satisfaction level is estimated based on theN-gram likelihood. Experiments were conducted on the large real data and theresults show that our proposed method achieved good classification performance;the classification accuracy was 94.7% in the experiment on a classificationinto dialogs with task completion and those without task completion. Even ifthe classifier detected all of the task incomplete dialog correctly, ourproposed method achieved the false detection rate of only 6%.
Language Usability, user satisfaction
Topics Dialogue, Evaluation methodologies, Usability, user satisfaction
Full paper Estimation Method of User Satisfaction Using N-gram-based Dialog History Model for Spoken Dialog System
Bibtex @InProceedings{HARA10.579,
  author = {Sunao Hara, Norihide Kitaoka and Kazuya Takeda},
  title = {Estimation Method of User Satisfaction Using N-gram-based Dialog History Model for Spoken Dialog System},
  booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
 }
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