| Project/Area Number |
19K00765
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 02100:Foreign language education-related
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| Research Institution | Future University-Hakodate |
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Principal Investigator |
Rivers Damian 公立はこだて未来大学, システム情報科学部, 教授 (00515455)
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| Project Period (FY) |
2019-04-01 – 2022-03-31
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| Project Status |
Completed (Fiscal Year 2021)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2021: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2020: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2019: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
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| Keywords | Language Education / Anxiety / Physiological Data / Wearable Technology / Research Methods / L2 Communication / Physiological / Online Learning / Communication / Physiology |
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| Outline of Research at the Start |
L2 communication anxiety is the most studied affective variable in foreign language education, but one suffering from methodological neglect with studies limited to self-report measures. In this research, the physiological indicators of autonomic nervous system arousal are measured pre-L2 task, on-L2 task and post-L2 task under experimental conditions within a population of university students. The physiological data will be used to assess causality in relation to L2 task performance providing new insight into the measurement, trajectory and performative impact of L2 communication anxiety.
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| Outline of Final Research Achievements |
This project created the Situation Specific Arousal Analyzer (SSAA) application for the on-off task physiological measurement and tracking of autonomic nervous system arousal. The application can be used on either the OS X or Windows platform and primarily focuses on the calculation of heart rate (HR), heart rate variability (HRV) (time-domain methods, frequency-domain methods, non-linear domain methods), and electrodermal activity (EDA). The interface can be tailored to meet a range of experimental conditions focused on either the micro analysis of arousal in time specific segments during an L2 speaking activity, or relative to longer macro periods of analysis such as across an entire classroom period. For the HRV time-domain, the beat-to-beat interval (NNMean) can be calculated up to once per 0.015625 (1/64) second while for the EDAMean it is possible to capture data once per 0.25 (1/4) second. The SSAA generates and exports these results as tabulated CSV files and visualizations.
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| Academic Significance and Societal Importance of the Research Achievements |
Situation Specific Arousal Analyzer (SSAA)が実施したデータの定量化は、外国語教育不安の研究に適用できるアクセス可能な研究手法の重要な革新を示しています。このインターフェースは、L2スピーキング活動中の特定の時間セグメントにおける覚醒度のミクロ分析、または授業時間全体といったより長いマクロ期間の分析に焦点を当てた、さまざまな実験条件に合わせて調整することが可能です。生成された生理学的データにより、他の変数との相関関係や感情関係を分析することができます。SSAAは、結果を集計したCSVファイルやビジュアライゼーションとして生成・出力します。
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