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Toward the Analysis of Office Workers’ Mental Indicators Based on Wearable, Work Activity, and Weather Data
http://hdl.handle.net/10228/00009238
http://hdl.handle.net/10228/0000923809d35bdf-7ce9-4181-86b1-244e5355ab0e
| 名前 / ファイル | ライセンス | アクション |
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LaSEINE-2021_060.pdf (989.8 kB)
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| Item type | 学術雑誌論文 = Journal Article(1) | |||||||||||||
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| 公開日 | 2023-05-08 | |||||||||||||
| 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 | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | Toward the Analysis of Office Workers’ Mental Indicators Based on Wearable, Work Activity, and Weather Data | |||||||||||||
| 言語 | en | |||||||||||||
| 言語 | ||||||||||||||
| 言語 | eng | |||||||||||||
| 著者 |
西村, 勇亮
× 西村, 勇亮× Hossain, Tahera× Sano, Akane× 磯村, 昇太× 荒川, 豊× 井上, 創造
WEKO
27425
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| 抄録 | ||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||
| 内容記述 | In recent years, many organizations have prioritized efforts to detect and treat mental health issues. In particular, office workers are affected by many stressors, and physical and mental exhaustion, which is also a social problem. To improve the psychological situation in the workplace, we need to clarify the cause. In this paper, we conducted a 14-day experiment to collect wristband sensor data as well as behavioral and psychological questionnaire data from about 100 office workers. We developed machine learning models to predict psychological indexes using the data. In addition, we analyzed the correlation between behavior (work content and work environment) and psychological state of office workers to reveal the relationship between their work content, work environment, and behavior. As a result, we showed that multiple psychological indicators of office workers can be predicted with more than 80% accuracy using wearable sensors, behavioral data, and weather data. Furthermore, we found that in the working environment, the time spent in “web conferencing”, “working at home (living room)”, and “break time (work time)’ had a significant effect on the psychological state of office workers. | |||||||||||||
| 言語 | en | |||||||||||||
| 備考 | ||||||||||||||
| 内容記述タイプ | Other | |||||||||||||
| 内容記述 | 3rd International Conference on Activity and Behavior Computing, ABC 2021, 22 October 2021 through 23 October 2021, Online | |||||||||||||
| 書誌情報 |
en : Smart Innovation, Systems and Technologies 巻 291, p. 1-26, 発行日 2022-05-04 |
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| 出版社 | ||||||||||||||
| 出版者 | Springer | |||||||||||||
| DOI | ||||||||||||||
| 関連タイプ | isVersionOf | |||||||||||||
| 識別子タイプ | DOI | |||||||||||||
| 関連識別子 | https://doi.org/10.1007/978-981-19-0361-8_1 | |||||||||||||
| ISBN | ||||||||||||||
| 識別子タイプ | ISBN | |||||||||||||
| 関連識別子 | 978-981-19-0360-1 | |||||||||||||
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| 識別子タイプ | ISBN | |||||||||||||
| 関連識別子 | 978-981-19-0361-8 | |||||||||||||
| 日本十進分類法 | ||||||||||||||
| 主題Scheme | NDC | |||||||||||||
| 主題 | 548 | |||||||||||||
| ISSN | ||||||||||||||
| 収録物識別子タイプ | PISSN | |||||||||||||
| 収録物識別子 | 2190-3018 | |||||||||||||
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| 収録物識別子タイプ | EISSN | |||||||||||||
| 収録物識別子 | 2190-3026 | |||||||||||||
| 著作権関連情報 | ||||||||||||||
| 権利情報 | Copyright (c) 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. This is a post-peer-review, pre-copyedit version of an article published in Smart Innovation, Systems and Technologies. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-981-19-0361-8_1 | |||||||||||||
| 出版タイプ | ||||||||||||||
| 出版タイプ | AM | |||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||||
| 査読の有無 | ||||||||||||||
| 値 | yes | |||||||||||||
| 研究者情報 | ||||||||||||||
| URL | https://hyokadb02.jimu.kyutech.ac.jp/html/140_ja.html | |||||||||||||
| 論文ID（連携） | ||||||||||||||
| 値 | 10403088 | |||||||||||||
| 連携ID | ||||||||||||||
| 値 | 10580 | |||||||||||||
