{"created":"2023-05-15T12:01:00.394413+00:00","id":8035,"links":{},"metadata":{"_buckets":{"deposit":"2a4e7d8d-5247-43b0-b40d-74ec8e140113"},"_deposit":{"created_by":3,"id":"8035","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"8035"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00008035","sets":["8:24"]},"author_link":["35383","35381","35376","27425","35375","35382","35377","35378","35379"],"item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2022-05-04","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"26","bibliographicPageStart":"1","bibliographicVolumeNumber":"291","bibliographic_titles":[{"bibliographic_title":"Smart Innovation, Systems and Technologies"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"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.","subitem_description_type":"Abstract"}]},"item_21_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"3rd International Conference on Activity and Behavior Computing, ABC 2021, 22 October 2021 through 23 October 2021, Online","subitem_description_type":"Other"}]},"item_21_description_60":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Journal Article","subitem_description_type":"Other"}]},"item_21_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"35381","nameIdentifierScheme":"WEKO"}],"names":[{"name":"西村,  勇亮"}]},{"nameIdentifiers":[{"nameIdentifier":"35382","nameIdentifierScheme":"WEKO"}],"names":[{"name":"磯村,  昇太"}]},{"nameIdentifiers":[{"nameIdentifier":"35383","nameIdentifierScheme":"WEKO"}],"names":[{"name":"荒川,  豊"}]},{"affiliations":[{"affiliationNames":[{"affiliationName":"","lang":"ja"}],"nameIdentifiers":[]}],"familyNames":[{"familyName":"Inoue","familyNameLang":"en"},{"familyName":"井上","familyNameLang":"ja"},{"familyName":"イノウエ","familyNameLang":"ja-Kana"}],"givenNames":[{"givenName":"Sozo","givenNameLang":"en"},{"givenName":"創造","givenNameLang":"ja"},{"givenName":"ソウゾウ","givenNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"27425","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"90346825","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://nrid.nii.ac.jp/ja/nrid/1000090346825"},{"nameIdentifier":"9335840200","nameIdentifierScheme":"Scopus著者ID","nameIdentifierURI":"https://www.scopus.com/authid/detail.uri?authorId=9335840200"},{"nameIdentifier":"140","nameIdentifierScheme":"九工大研究者情報","nameIdentifierURI":"https://hyokadb02.jimu.kyutech.ac.jp/html/140_ja.html"}],"names":[{"name":"Inoue, Sozo","nameLang":"en"},{"name":"井上, 創造","nameLang":"ja"},{"name":"イノウエ, ソウゾウ","nameLang":"ja-Kana"}]}]},"item_21_link_62":{"attribute_name":"研究者情報","attribute_value_mlt":[{"subitem_link_url":"https://hyokadb02.jimu.kyutech.ac.jp/html/140_ja.html"}]},"item_21_publisher_7":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Springer"}]},"item_21_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1007/978-981-19-0361-8_1","subitem_relation_type_select":"DOI"}}]},"item_21_relation_9":{"attribute_name":"ISBN","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"978-981-19-0360-1","subitem_relation_type_select":"ISBN"}},{"subitem_relation_type_id":{"subitem_relation_type_id_text":"978-981-19-0361-8","subitem_relation_type_select":"ISBN"}}]},"item_21_rights_13":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"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"}]},"item_21_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_21_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2190-3026","subitem_source_identifier_type":"ISSN"},{"subitem_source_identifier":"2190-3018","subitem_source_identifier_type":"ISSN"}]},"item_21_subject_16":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"548","subitem_subject_scheme":"NDC"}]},"item_21_text_28":{"attribute_name":"論文ID（連携）","attribute_value_mlt":[{"subitem_text_value":"10403088"}]},"item_21_text_36":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Kyushu Institute of Technology"},{"subitem_text_value":"Kyushu Institute of Technology"},{"subitem_text_value":"Rice University"},{"subitem_text_value":"NTT Data Institute of Management Consulting, Inc."},{"subitem_text_value":"Kyushu University"},{"subitem_text_value":"Kyushu Institute of Technology"}]},"item_21_text_63":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"10580"}]},"item_21_version_type_58":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Nishimura,  Yusuke"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hossain,  Tahera"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Sano,  Akane"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Isomura,  Shota"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Aarakawa,  Yutaka"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"Inoue, Sozo","creatorNameLang":"en"},{"creatorName":"井上, 創造","creatorNameLang":"ja"},{"creatorName":"イノウエ, ソウゾウ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2023-05-08"}],"displaytype":"detail","filename":"LaSEINE-2021_060.pdf","filesize":[{"value":"989.8 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"LaSEINE-2021_060.pdf","url":"https://kyutech.repo.nii.ac.jp/record/8035/files/LaSEINE-2021_060.pdf"},"version_id":"93a7dfdf-e58f-4865-b79b-be75da4b9c9e"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Toward the Analysis of Office Workers’ Mental Indicators Based on Wearable, Work Activity, and Weather Data","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Toward the Analysis of Office Workers’ Mental Indicators Based on Wearable, Work Activity, and Weather Data"}]},"item_type_id":"21","owner":"3","path":["24"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-05-08"},"publish_date":"2023-05-08","publish_status":"0","recid":"8035","relation_version_is_last":true,"title":["Toward the Analysis of Office Workers’ Mental Indicators Based on Wearable, Work Activity, and Weather Data"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-10-25T10:13:56.008242+00:00"}