Using language tests and emotional expressions to determine the learnability of artificial languages

  • O. Mubin
  • , C.S. Shahid
  • , C. Bartneck
  • , E.J. Krahmer
  • , M.G.J. Swerts
  • , L.M.G. Feijs

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    3 Citations (Scopus)

    Abstract

    The study described hereunder lies within the context of a larger project focusing on the design and implementation of a "Robotic Interaction Language". The research goal of this project is to find the right balance between the effort necessary from the user to learn a new or artificial language and the resulting benefit of robust communication between a robot and the user as a direct consequence of optimized speech recognition. To measure the first criteria we have explored two methods to evaluate language learnability, namely Language Tests and analyzing expressed emotions during interaction in an artificial language. Our results indicate that both have potential in being used as measurement tools for evaluating the learnability of artificial languages.
    Original languageEnglish
    Title of host publicationExtended abstracts of the CHI '09 Conference on Human Factors in Computing Systems
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery, Inc.
    Pages4075-4080
    ISBN (Print)978-1-60558-246-7
    Publication statusPublished - 2009
    Event27th Annual ACM Conference on Human Factors in Computing Systems, CHI 2009 - Boston, United States
    Duration: 4 Apr 20099 Apr 2009
    Conference number: 27
    http://www.chi2009.org/

    Conference

    Conference27th Annual ACM Conference on Human Factors in Computing Systems, CHI 2009
    Abbreviated titleCHI 2009
    Country/TerritoryUnited States
    CityBoston
    Period4/04/099/04/09
    Internet address

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