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Practical Feedback Method for Mobile CPR Support Systems Considering Noise and User's Attention
https://ipsj.ixsq.nii.ac.jp/records/191587
https://ipsj.ixsq.nii.ac.jp/records/191587937dd8d2-8594-47ec-9479-5d0fa0968e11
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-JNL5910009.pdf (1.1 MB)
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Copyright (c) 2018 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | Journal(1) | |||||||||
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| 公開日 | 2018-10-15 | |||||||||
| タイトル | ||||||||||
| タイトル | Practical Feedback Method for Mobile CPR Support Systems Considering Noise and User's Attention | |||||||||
| タイトル | ||||||||||
| 言語 | en | |||||||||
| タイトル | Practical Feedback Method for Mobile CPR Support Systems Considering Noise and User's Attention | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | [特集：ユビキタスコンピューティングシステム(Ⅶ)] cardiopulmonary resuscitation (CPR) support, smartwatch, smartphone, cognitive load, evaluation in practical situation | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||
| 資源タイプ | journal article | |||||||||
| 著者所属 | ||||||||||
| Toyohashi University of Technology | ||||||||||
| 著者所属 | ||||||||||
| Toyohashi University of Technology／Presently with OMURON SOFTWARE Co., Ltd. | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| Toyohashi University of Technology | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| Toyohashi University of Technology / Presently with OMURON SOFTWARE Co., Ltd. | ||||||||||
| 著者名 |
Ren, Ohmura
× Ren, Ohmura
× Kodai, Yamamoto
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| 著者名(英) |
Ren, Ohmura
× Ren, Ohmura
× Kodai, Yamamoto
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| 論文抄録 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | In this study, with the aim of improving bystander CPR support using a smartphone and a smartwatch, we evaluated six feedback methods considering practical situations. Since CPR is sometimes required to be conducted in a noisy place, each method was evaluated with 50dB and 80dB noise environments, which correspond to a silent office and a noisy construction site, respectively. Also, considering the requirement for a bystander to maintain the safety of him/herself and in order to give appropriate care to the patient, the capability of noticing change in patient condition during CPR was evaluated. From the evaluation results, the best feedback method is a method that uses voice, a metronome sound and a graphic display on a smartphone and vibration and graphic display on a smartwatch if both a smartphone and a smartwatch are available. For only a smartphone, the result shows that feedback using only voice is better in the loud environment, while feedback using voice and clicking sounds is the best in the quiet environment. Moreover, with regard to the subjective feeling, feedback using only a smartwatch is worse than other methods, and it is recommended to be used in conjunction with a smartphone. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.26(2018) (online) DOI http://dx.doi.org/10.2197/ipsjjip.26.728 ------------------------------ |
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| 論文抄録(英) | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | In this study, with the aim of improving bystander CPR support using a smartphone and a smartwatch, we evaluated six feedback methods considering practical situations. Since CPR is sometimes required to be conducted in a noisy place, each method was evaluated with 50dB and 80dB noise environments, which correspond to a silent office and a noisy construction site, respectively. Also, considering the requirement for a bystander to maintain the safety of him/herself and in order to give appropriate care to the patient, the capability of noticing change in patient condition during CPR was evaluated. From the evaluation results, the best feedback method is a method that uses voice, a metronome sound and a graphic display on a smartphone and vibration and graphic display on a smartwatch if both a smartphone and a smartwatch are available. For only a smartphone, the result shows that feedback using only voice is better in the loud environment, while feedback using voice and clicking sounds is the best in the quiet environment. Moreover, with regard to the subjective feeling, feedback using only a smartwatch is worse than other methods, and it is recommended to be used in conjunction with a smartphone. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.26(2018) (online) DOI http://dx.doi.org/10.2197/ipsjjip.26.728 ------------------------------ |
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| 書誌レコードID | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AN00116647 | |||||||||
| 書誌情報 |
情報処理学会論文誌 巻 59, 号 10, 発行日 2018-10-15 |
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| ISSN | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 1882-7764 | |||||||||
