研究課題/領域番号 |
21K00778
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研究機関 | 函館工業高等専門学校 |
研究代表者 |
taquet david 函館工業高等専門学校, 一般系, 准教授 (50710901)
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研究分担者 |
小野 真嗣 室蘭工業大学, 大学院工学研究科, 准教授 (10369902) [辞退]
オレクサ ロバート 函館工業高等専門学校, 一般人文系, 准教授 (40803713)
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研究期間 (年度) |
2021-04-01 – 2025-03-31
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キーワード | Virtual Reality / Iconicity / Language / Education technology |
研究実績の概要 |
Our research had lead us to unexpected results and paths. First, we have realized the potential of VR as a community outreach tool. Indeed through various workshops organized at our school, we invited junior highschool students and introduced them to VR and some potential applications for language learning. Through VR, the students were able to overcome natural shyness and practice conversation using natural gestures in a virtual environment. Also, following a conference presentation in France in 2022, where the principal investigator compares and contrasts various uses of spaces as an intertextual tool in youth litterature, we were invited to submit the article for publication. The article is currently being edited.
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現在までの達成度 (区分) |
現在までの達成度 (区分)
4: 遅れている
理由
Despite actively trying to recruit students to participate in our study, and developing easy-to-access questionnaire, we are encountering many difficulties recruiting willing students. Also, with a change in the network security policies at our school, it is now necessary to obtain special authorisations to access internet with the virtual reality headsets. Finally, a bug that was introduced in V62 of the Quest 2 and 3 devices have made internet connections even more unstable.
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今後の研究の推進方策 |
Once we have managed and overcome the technical difficulties (network connection and stability), we will continue recruiting students. We will try more actively to interest students in joining the study by holding schoool-wide vent to demonstrate all that can achieved in the field of language learning through Virtual Reality. Also, we are now discussing collaboration with a professor of our institute to use his AI based pose recognition app which utilizes tensor flow and posenet/movenet to detect 17 different points on the body. This is something we have been trying to accomplish since 2022, when we went to Sojo University in Kumamoto and presened at SUTLF 2023. we plan on presenting data and results from this collaboration at KOTESOL2024 in October 2024
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次年度使用額が生じた理由 |
As mentionned earlier, we have encountered several issues in our research plan (both technical, but also concerning recruitment of students for our study). We will increase our effort and enlarge the scope of research of students. We have made contacts with researchers from different countries, and were able to also learn some technical skills that will help us widen the scope of usability (i.e, not only language learning but posture, and movement recognition). We are planning to both present in an international conference and publish in a high factor journal as part of our last year in this project.
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