2021 Fiscal Year Final Research Report
Measuring L2 Communication Anxiety and L2 Task Performance: A Physiological Approach
| 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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| Keywords | Language Education / Anxiety / Physiological Data / Wearable Technology / Research Methods |
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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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| Free Research Field |
Foreign Language Education
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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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