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Virtual or Physical? Social Robots Teaching a Fictional Language Through a Role-Playing Game Inspired by Game of Thrones

  • Hassan Ali
    ,
  • Shreyans Bhansali
    ,
  • Ilay Köksal
    ,
  • Matthias Möller
    ,
  • Theresa Pekarek-Rosin
    ,
  • Sachin Sharma
  • University of Hamburg
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 358-367 (10 pages)

Publication milestones

  • Published - 01/11/2019

Publication status

Published - 01/11/2019

Place of publication

Madrid, Spain

Publication IDs

  • Scopus: 85076528887

Host publication title

Proceedings of the International Conference on Social Robotics (ICSR 2019)

Abstract

In recent years, there has been an increased interest in the role of social agents as language teachers. Our experiment was designed to investigate whether a physical agent in form of a social robot provides a better language-learning experience than a virtual agent. We evaluated the interactions regarding enjoyment, immersion, and vocabulary retention. The 55 participants who took part in our study learned 5 phrases of the fictional language High Valyrian from the TV show Game of Thrones. For the evaluation, questions from the Almere model, the Godspeed questionnaire and the User Engagement Scale were used as well as a number of custom questions. Our findings include statistically significant results regarding enjoyment (p=0.008) and immersion (p=0.023) for participants with little or no prior experience with social robots. In addition, we found that the participants were able to retain the High Valyrian phrases equally well for both conditions.

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