A Multi-lingual Evaluation of the vAssist Spoken Dialog System. Comparing Disco and RavenClaw

Javier Mikel Olaso, Pierrick Milhorat, Julia Himmelsbach, Jerome Boudy, Gerard Chollet, Stephan Schlögl, Maria Ines Torres (Speaker)

Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentationpeer-review

Abstract

vAssist (Voice Controlled Assistive Care and Communication Services for the Home) is a European project for which several research institutes and companies have been working on the development of adapted spoken interfaces to support home care and communication services. This paper describes the spoken dialog system that has been built. Its natural language understanding module includes a novel reference resolver and it introduces a new hierarchical paradigm to model dialog tasks. The user-centered Approach applied to the whole development process led to the setup of several experiment sessions with real users. Multilingual experiments carried out in Austria, France and Spain are described along with the analyses and results in terms of both system performance and user experience. An additional experimental comparison of the RavenClaw and Disco-LFF dialog Managers built into the vAssist spoken dialog system highlighted similar Performance and user acceptance.
Original languageEnglish
Title of host publicationDialogues with Social Robots. Enablements, Analyses, and Evaluation
EditorsKristiina Jokinen, Graham Wilcock
PublisherSpringer Singapore
Pages221-232
Number of pages12
ISBN (Print)978-981-10-2585-3
DOIs
Publication statusPublished - 2017
EventIWSDS 2016 : The Seventh International Workshop on Spoken Dialogue Systems -
Duration: 13 Jan 201616 Jan 2016

Conference

ConferenceIWSDS 2016 : The Seventh International Workshop on Spoken Dialogue Systems
Period13/01/1616/01/16

Research Field

  • Not defined

Keywords

  • spoken dialog systems
  • dialog management
  • real-user experiments

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