| 研究課題/領域番号 |
21K00675
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| 研究種目 |
基盤研究(C)
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| 配分区分 | 基金 |
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| 応募区分 | 一般 |
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| 審査区分 |
小区分02100:外国語教育関連
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| 研究機関 | 富山大学 |
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研究代表者 |
COOPER T・D 富山大学, 学術研究部教養教育学系, 准教授 (70442449)
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| 研究分担者 |
的場 隆一 富山高等専門学校, その他部局等, 准教授 (30592323)
塚田 章 富山高等専門学校, その他部局等, 教授 (40236849)
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| 研究期間 (年度) |
2021-04-01 – 2024-03-31
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| 研究課題ステータス |
交付 (2022年度)
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| 配分額 *注記 |
3,770千円 (直接経費: 2,900千円、間接経費: 870千円)
2023年度: 1,170千円 (直接経費: 900千円、間接経費: 270千円)
2022年度: 1,300千円 (直接経費: 1,000千円、間接経費: 300千円)
2021年度: 1,300千円 (直接経費: 1,000千円、間接経費: 300千円)
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| キーワード | Facial expression / AI / mock interviews / online interviews / nonverbal communication / gaze tracking / facial expression / kinect camera / mock job interview / L1 L2 differences / paralanguage |
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| 研究開始時の研究の概要 |
The system will automatically assess the NVC skills of both student’s language interviews and presentations; specifically, users will be given immediate feedback on the quantity and quality of their facial expression, and their spoken answers to real-life situations.
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| 研究実績の概要 |
With the lifting of the COVID-19 restrictions we were able to further our progress with our research, hold a new series of interviews, and present our findings at several international conferences. By changing the code from C to Python, we were able to use AI technology to analyze the facial expression of interviewees, this in turn allowed us to also start using gaze technology which helps us better assess eye contact. In this round, students participated in mock job interviews remotely via Zoom, which helps them get used to video interviews. Finally, we presented our findings at EdMEDIA 2022 via Zoom, and onsite at the ALANZ/ALAA/ALTAANZ Applied Linguistics Conference 2022 and CamTESOL 2023.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
3: やや遅れている
理由
Our project was delayed by COVID-19 so we rethought our experiment procedures and started to hold our mock job interviews online. With the lifting of most restrictions we were able to get back close to our original timeline.
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| 今後の研究の推進方策 |
Our plan is to hold our next round of interviews n mid- to late 2023. In this round we will incorporate AI and gaze technology. These findings will be presented at a conference in early 2024.
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