Item type |
SIG Technical Reports(1) |
公開日 |
2021-08-26 |
タイトル |
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タイトル |
ManWaKei: Measuring the Amount of Speech and Investigating its Effect on Stress |
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言語 |
en |
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タイトル |
ManWaKei: Measuring the Amount of Speech and Investigating its Effect on Stress |
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言語 |
eng |
キーワード |
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主題Scheme |
Other |
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主題 |
災害・感染症 |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
著者所属 |
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Keio University |
著者所属 |
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Keio University |
著者所属 |
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Keio University |
著者所属 |
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Keio University |
著者所属(英) |
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en |
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Keio University |
著者所属(英) |
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en |
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Keio University |
著者所属(英) |
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en |
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Keio University |
著者所属(英) |
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en |
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Keio University |
著者名 |
Taku, Yamane
Yin, Chen
Tadashi, Okoshi
Jin, Nakazawa
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著者名(英) |
Taku, Yamane
Yin, Chen
Tadashi, Okoshi
Jin, Nakazawa
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論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
Due to the recent COVID-19 pandemic, a lot of people are now required to stay at home and/or work remotely. This is thought to be causing a significant decrease in vocal communication between people, which is leading to increased stress between people. However, quantitative researches to back this up has not been done much yet. In this research project, we created a system called the ManWaKei system that quantitatively measures the amount of a user 's speech using voice recognition transcription technology, in order to investigate the correlation between speech and stress from a quantitative standpoint. We carried out a 3-week experiment with 5 participants, collecting data about the conversations they made and the stress they experienced. Through the experiment, we were able to spot some signs of correlation between the amount of speech and stress, however there are too many factors that we still need to take into count, and improvements to the system is crucial for future researches. |
論文抄録(英) |
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内容記述タイプ |
Other |
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内容記述 |
Due to the recent COVID-19 pandemic, a lot of people are now required to stay at home and/or work remotely. This is thought to be causing a significant decrease in vocal communication between people, which is leading to increased stress between people. However, quantitative researches to back this up has not been done much yet. In this research project, we created a system called the ManWaKei system that quantitatively measures the amount of a user 's speech using voice recognition transcription technology, in order to investigate the correlation between speech and stress from a quantitative standpoint. We carried out a 3-week experiment with 5 participants, collecting data about the conversations they made and the stress they experienced. Through the experiment, we were able to spot some signs of correlation between the amount of speech and stress, however there are too many factors that we still need to take into count, and improvements to the system is crucial for future researches. |
書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AA11838947 |
書誌情報 |
研究報告ユビキタスコンピューティングシステム(UBI)
巻 2021-UBI-71,
号 1,
p. 1-8,
発行日 2021-08-26
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ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2188-8698 |
Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |