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Comparing Monolingual and Bilingual Social Robots as Conversational Practice Companions in Language Learning
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0001-7890-936X
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0002-8579-1790
2025 (English)In: Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, p. 829-838Conference paper, Published paper (Refereed)
Abstract [en]

This study explores the impact of monolingual and bilingual robots in Robot-Assisted Language Learning (RALL) for non-native Swedish learners. In a within-group design, 47 participants interacted with a social robot under two conditions: a monolingual robot that communicated exclusively in Swedish and a bilingual robot capable of switching between Swedish and English. Each participant engaged in multiple role-play scenarios designed to match their language proficiency levels, and their experiences were assessed through surveys and behavioral data. The results show that the bilingual robot was generally favored by participants, leading to a more relaxed, enjoyable experience. The perceived learning was improved at the end of the experiment regardless of the condition. These findings suggest that incorporating bilingual support in language-learning robots may enhance user engagement and effectiveness, particularly for lower-proficiency learners.

Place, publisher, year, edition, pages
2025. p. 829-838
Keywords [en]
robot assisted language learning, RALL, bilingual, monolingual, conversation practice, dialogue systems
National Category
Comparative Language Studies and Linguistics Robotics and automation Pedagogy
Research subject
Computer Science; Technology and Learning; Speech and Music Communication; Human-computer Interaction
Identifiers
URN: urn:nbn:se:kth:diva-362158DOI: 10.1109/HRI61500.2025.10973901OAI: oai:DiVA.org:kth-362158DiVA, id: diva2:1956249
Conference
20th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Melbourne, Australia, 4-6 March 2025
Projects
RALL-TMHRALL
Note

Part of ISBN 979-8-3503-7893-1

QC 20250506

Available from: 2025-05-05 Created: 2025-05-05 Last updated: 2025-05-06Bibliographically approved

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fulltext(7293 kB)16 downloads
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Type fulltextMimetype application/pdf

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Kamelabad, Alireza M.Skantze, Gabriel

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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