Show simple item record

dc.contributor.advisorMatheson, Colin
dc.contributor.authorHenderson, Matthew
dc.date.accessioned2012-07-06T12:59:33Z
dc.date.available2012-07-06T12:59:33Z
dc.date.issued2011-11-23
dc.identifier.urihttp://hdl.handle.net/1842/6088
dc.description.abstractSpoken dialogue systems can encounter different types of errors, including non-understanding errors. This is where the system realises the user has spoken, but does not understand their utterance. Strategies for dealing with this kind of error have been proposed and tested in the context of slot-filling systems, for example by Dan Bohus with a system which helps reserve conference rooms [1]. However there has been little work into possible strategies for more conversational settings. This dissertation looks at how we could recover from non-understanding errors experienced by a robot tourguide, and tests the strategies in an experimental study. The main hypothesis of this study is that it is beneficial to use strategies which are designed to do something smarter than just asking the user to repeat themselves. The strategies implemented are motivated by the findings of work done on task-based dialogue systems [1,2,3], which suggest it is useful to move the user on through the dialogue instead of getting caught up with the non-understanding error.en
dc.language.isoenen
dc.publisherThe University of Edinburghen
dc.subjectdialogue systemen
dc.subjecterrorsen
dc.subjectspeechen
dc.subjectdialogueen
dc.titleRecovering From Errors in Conversational Dialogue Systemsen
dc.typeThesis or Dissertationen
dc.type.qualificationlevelMastersen
dc.type.qualificationnameMSc Master of Scienceen
dcterms.accessRightsRestricted Accessen_US


Files in this item

This item appears in the following Collection(s)

Show simple item record