{"created":"2025-01-19T01:30:06.038353+00:00","updated":"2025-01-19T11:10:25.940826+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230375","sets":["6504:11436:11441"]},"path":["11441"],"owner":"44499","recid":"230375","title":["ヒューマンエラーの分析におけるストループ現象を伴う課題実施時の脳波分析手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"b16bbb15-15d8-41de-837f-3799787f8666"},"_deposit":{"id":"230375","pid":{"type":"depid","value":"230375","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ヒューマンエラーの分析におけるストループ現象を伴う課題実施時の脳波分析手法の提案","author_link":["620589","620590","620588"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ヒューマンエラーの分析におけるストループ現象を伴う課題実施時の脳波分析手法の提案"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ネットワーク","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"芝浦工大"},{"subitem_text_value":"芝浦工大"},{"subitem_text_value":"芝浦工大"}]},"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/230375/files/IPSJ-Z85-4ZA-06.pdf","label":"IPSJ-Z85-4ZA-06.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-4ZA-06.pdf","filesize":[{"value":"467.5 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"9db6e464-7590-41c3-a94a-2bd238c2c9ef","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"鈴木, 圭"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"草信, 達也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"菅谷, みどり"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"重大事故につながり得るヒューマンエラーの分析において,脳波信号を用いた分析が行われている.脳の電気的な活動を計測した脳波信号を分析することで,ヒューマンエラー発生時の脳の状態を分析できる可能性があるためである.しかし,脳の状態を詳細に分析する手法は確立していない.そこで本研究では,詳細に分析する手法の検討を目的とした.エラーの種類を区別する質問票を導入しつつ,エラーが発生しやすいストループ現象を伴った課題を脳波信号の計測とともに実施した.そして,エラー発生直前の脳波信号とエラーの種類を分析した.その結果,エラーの発生とエラー発生直前の0.5秒間における,覚醒度を表す脳波の指標との関係が示唆された。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"218","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"217","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230375,"links":{}}