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Learning and reusing dialog for repeated interactions with a situated social agent
KTH, School of Computer Science and Communication (CSC), Robotics, perception and learning, RPL. Disney Research, United States.
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2017 (English)In: 17th International Conference on Intelligent Virtual Agents, IVA 2017, Springer, 2017, Vol. 10498, p. 192-204Conference paper (Refereed)
Abstract [en]

Content authoring for conversations is a limiting factor in creating verbal interactions with intelligent virtual agents. Building on techniques utilizing semi-situated learning in an incremental crowdworking pipeline, this paper introduces an embodied agent that self-authors its own dialog for social chat. In particular, the autonomous use of crowdworkers is supplemented with a generalization method that borrows and assesses the validity of dialog across conversational states. We argue that the approach offers a community-focused tailoring of dialog responses that is not available in approaches that rely solely on statistical methods across big data. We demonstrate the advantages that this can bring to interactions through data collected from 486 conversations between a situated social agent and 22 users during a 3 week long evaluation period.

Place, publisher, year, edition, pages
Springer, 2017. Vol. 10498, p. 192-204
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743 ; 10498
Keyword [en]
Borrowing dialog, Repeated interactions, Social robot, Verbal chat
National Category
Communication Studies
Identifiers
URN: urn:nbn:se:kth:diva-216707DOI: 10.1007/978-3-319-67401-8_22Scopus ID: 2-s2.0-85028963865ISBN: 9783319674001 OAI: oai:DiVA.org:kth-216707DiVA, id: diva2:1152730
Conference
17th International Conference on Intelligent Virtual Agents, IVA 2017, Stockholm, Sweden, 27 August 2017 through 30 August 2017
Note

QC 20171026

Available from: 2017-10-26 Created: 2017-10-26 Last updated: 2017-10-26Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf