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Towards human-like spoken dialogue systems
KTH Speech, Music and Hearing. (Speech group)ORCID iD: 0000-0001-9327-9482
KTH Speech, Music and Hearing. (Speech group)
KTH Speech, Music and Hearing. (Speech group)ORCID iD: 0000-0002-0034-0924
KTH Speech, Music and Hearing. (Speech group)ORCID iD: 0000-0003-3585-8077
2008 (English)In: Speech Communication, ISSN 0167-6393, E-ISSN 1872-7182, Vol. 50, no 8-9, 630-645 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents an overview of methods that can be used to collect and analyse data on user responses to spoken dialogue system components intended to increase human-likeness, and to evaluate how well the components succeed in reaching that goal. Wizard-of-Oz variations, human-human data manipulation, and micro-domains are discussed ill this context, as is the use of third-party reviewers to get a measure of the degree of human-likeness. We also present the two-way mimicry target, a model for measuring how well a human-computer dialogue mimics or replicates some aspect of human-human dialogue, including human flaws and inconsistencies. Although we have added a measure of innovation, none of the techniques is new in its entirely. Taken together and described from a human-likeness perspective, however, they form a set of tools that may widen the path towards human-like spoken dialogue systems.

Place, publisher, year, edition, pages
2008. Vol. 50, no 8-9, 630-645 p.
National Category
General Language Studies and Linguistics Computer Science
Identifiers
URN: urn:nbn:se:su:diva-64376DOI: 10.1016/j.specom.2008.04.002OAI: oai:DiVA.org:su-64376DiVA: diva2:457279
Available from: 2011-11-17 Created: 2011-11-17 Last updated: 2017-12-08

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Edlund, JensHeldner, MattiasHjalmarsson, Anna
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