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Fundamental frequency accommodation in multi-party human-robot game interactions: The effect of winning or losing
URPP Language and Space, University of Zurich, Switzerland.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0002-8579-1790
Department of comparative linguistics, University of Zurich, Switzerland.
Department of computational linguistics, University of Zurich, Switzerland.
2019 (English)In: Proceedings Interspeech 2019, International Speech Communication Association, 2019, p. 3980-3984Conference paper, Published paper (Refereed)
Abstract [en]

In human-human interactions, the situational context plays a large role in the degree of speakers’ accommodation. In this paper, we investigate whether the degree of accommodation in a human-robot computer game is affected by (a) the duration of the interaction and (b) the success of the players in the game. 30 teams of two players played two card games with a conversational robot in which they had to find a correct order of five cards. After game 1, the players received the result of the game on a success scale from 1 (lowest success) to 5 (highest). Speakers’ fo accommodation was measured as the Euclidean distance between the human speakers and each human and the robot. Results revealed that (a) the duration of the game had no influence on the degree of fo accommodation and (b) the result of Game 1 correlated with the degree of fo accommodation in Game 2 (higher success equals lower Euclidean distance). We argue that game success is most likely considered as a sign of the success of players’ cooperation during the discussion, which leads to a higher accommodation behavior in speech.

Place, publisher, year, edition, pages
International Speech Communication Association, 2019. p. 3980-3984
Series
Interspeech, ISSN 1990-9772
National Category
Natural Language Processing
Identifiers
URN: urn:nbn:se:kth:diva-267215DOI: 10.21437/Interspeech.2019-2496ISI: 000831796404025Scopus ID: 2-s2.0-85074731228OAI: oai:DiVA.org:kth-267215DiVA, id: diva2:1391406
Conference
Interspeech 2019, 15-19 September 2019, Graz, Austria
Projects
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Note

QC 20200214

Available from: 2020-02-04 Created: 2020-02-04 Last updated: 2025-02-07Bibliographically approved

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fulltext(13351 kB)340 downloads
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Skantze, Gabriel

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • 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
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  • text
  • asciidoc
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