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2021 年度 実施状況報告書

Intelligent facilitator for multilingual design workshops

研究課題

研究課題/領域番号 21K17794
研究機関立命館大学

研究代表者

PITUXCOOSUVARN MONDHEERA  立命館大学, 情報理工学部, 助教 (10875941)

研究期間 (年度) 2021-04-01 – 2026-03-31
キーワードfacilitation / design / multilingual / machine translation / workshop / intercultural / collaboration
研究実績の概要

I presented at two international conferences.One topic was to analyze and report on the outcomes of a virtual reality workshop (VR). I presented the results of using VR in a collaboration on design workshop at the ICCE2021. Another research presentation at CollabTech2021 focused on improving cultural difference detection(CDD) to support multilingual workshops. This paper describes the improved cultural difference detection method that will be used to warn of cultural-based misunderstandings in intercultural design workshops. Aside from publications, I conducted one questionnaire-based experiment to be used as a cultural difference measure. In addition, I also designed and conduct an experiment on multilingual chat data to look for effective facilitation pattern.

現在までの達成度 (区分)
現在までの達成度 (区分)

2: おおむね順調に進展している

理由

We carried out two experiments as planned. One was an annotation to look for effective facilitation methods. Another was to create a measure for cultural difference in machine translation based communication. Besides the difficulties to look for effective facilitation methods from chat log data , we can publish a part of the results.

However, there are still some issues that could impede research progress in the coming year. Other difficulties include the development of a virtual reality space, which takes time and effort, as well as the search for participants with specific language skills. For example, we have been looking for Americans who are unfamiliar with Japanese language and culture, but this has proven difficult because the Japanese border is still closed due to COVID-19 situation.

今後の研究の推進方策

In AY2022, I intend to conduct the following research:
1) Conduct experiments to validate the results of the annotation (effective facilitation method). Based on the findings, we can create an intelligent facilitator in the future.
2) Based on the results of the cultural difference detection measure, conduct experiments on cultural difference in MT-mediated communication. In addition to a controlled experiment, I intend to collaborate with a Thai school and a Japanese after-school to collect real communication data from children in both countries.
3) Continue developing a virtual reality space for intercultural collaboration, including the addition of voice-based and text-based machine translation to the system, as well as the provision of a smart whiteboard and sticky notes.

次年度使用額が生じた理由

It was impossible to travel due to COVID-19 situation, so we focused on the experiment instead. That is why the amount of fund was carried to the next year.

  • 研究成果

    (2件)

すべて 2021

すべて 学会発表 (2件) (うち国際学会 2件)

  • [学会発表] Effects of virtual reality on students’ creative thinking during a brainstorming session2021

    • 著者名/発表者名
      Mondheera PITUXCOOSUVARN, Victoria ABOU-KALIL, Hiroaki OGATA, Yohei MURAKAMI
    • 学会等名
      The 29th International Conference on Computers in Education (ICCE 2021)
    • 国際学会
  • [学会発表] Improving Cultural Difference Detection System Using Confidence Value, in Proc. of the 27th International Conference on Collaboration Technologies and Social Computing2021

    • 著者名/発表者名
      Mondheera Pituxcoosuvarn, Yohei Murakami
    • 学会等名
      The 27th International Conference on Collaboration Technologies and Social Computing (CollabTech 2021)
    • 国際学会

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公開日: 2022-12-28  

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