{"id":185964,"updated":"2025-01-20T02:45:08.758502+00:00","links":{},"created":"2025-01-19T00:53:01.556166+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00185964","sets":["1164:4061:9376:9377"]},"path":["9377"],"owner":"11","recid":"185964","title":["休憩時間の過ごし方が作業パフォーマンスに及ぼす影響の調査"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-02-19"},"_buckets":{"deposit":"4b05d679-fa2e-430a-a01f-0de0977e5dbb"},"_deposit":{"id":"185964","pid":{"type":"depid","value":"185964","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"休憩時間の過ごし方が作業パフォーマンスに及ぼす影響の調査","author_link":["415327","415329","415328","415326","415325","415324"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"休憩時間の過ごし方が作業パフォーマンスに及ぼす影響の調査"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"生体センシング","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2018-02-19","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"神戸大学大学院工学研究科"},{"subitem_text_value":"神戸大学大学院工学研究科/科学技術振興機構さきがけ"},{"subitem_text_value":"株式会社ビービット"},{"subitem_text_value":"株式会社ビービット"},{"subitem_text_value":"株式会社ビービット"},{"subitem_text_value":"神戸大学大学院工学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Engineering, Kobe University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, Kobe University / PRESTO, Japan Science and Technology Agency","subitem_text_language":"en"},{"subitem_text_value":"beBit, Inc.","subitem_text_language":"en"},{"subitem_text_value":"beBit, Inc.","subitem_text_language":"en"},{"subitem_text_value":"beBit, Inc.","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, Kobe University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/185964/files/IPSJ-UBI18057003.pdf","label":"IPSJ-UBI18057003.pdf"},"date":[{"dateType":"Available","dateValue":"2020-02-19"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-UBI18057003.pdf","filesize":[{"value":"5.5 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"36"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"21a533e1-9fed-4ac4-8d2f-b97dedc7a697","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"三木, 隆裕"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"寺田, 努"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"前田, 俊幸"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"唐澤, 鵬翔"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"安達, 淳"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"塚本, 昌彦"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11838947","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8698","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"オフィスワーカにとって,適切なタイミングで効果的な休憩をとることは作業効率上望ましい.しかし,個人差や作業環境により個人ごとの適切な休憩時間の過ごし方は異なる.ここで,休憩状態を定量的に評価できれば,個人ごとの適切な休憩時間の過ごし方を知ることができると考えられる.また,作業中の些細な行動によって効果的な休憩ができていることを認識できると考えられる.その結果,オフィスワーカは正しい休憩をとることができ,高いパフォーマンスを維持しながら作業を行い,より質の高い結果を出すことに繋がる.そこで本研究では,休憩状態を定量的に評価する手法を検討するために,休憩時間の過ごし方の違いが作業パフォーマンスに与える影響についてストレス状態の指標である LF / HF 値と瞬きの回数に着目して調査した.その結果,LF / HF 値により推定されたストレス状態である時,作業パフォーマンスが高いことがわかった.また,「寝る」,「スマートフォンを見る」,「タバコを吸う」 の 3 種類の休憩時間の過ごし方で作業パフォーマンスの向上がみられた.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告ユビキタスコンピューティングシステム(UBI)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2018-02-19","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"2018-UBI-57"}]},"relation_version_is_last":true,"weko_creator_id":"11"}}