{"id":230604,"created":"2025-01-19T01:30:28.539716+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230604","sets":["6504:11436:11443"]},"path":["11443"],"owner":"44499","recid":"230604","title":["テキスト黙読時の視線解析による集中・非集中状態識別モデルの個人化のための基礎調査"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"f60a185a-cba5-4e1b-a4bf-3a2a9fb359ae"},"_deposit":{"id":"230604","pid":{"type":"depid","value":"230604","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"テキスト黙読時の視線解析による集中・非集中状態識別モデルの個人化のための基礎調査","author_link":["621779","621781","621780"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"テキスト黙読時の視線解析による集中・非集中状態識別モデルの個人化のための基礎調査"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"インタフェース","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":"農工大"},{"subitem_text_value":"農工大"},{"subitem_text_value":"農工大"}]},"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/230604/files/IPSJ-Z85-5ZE-06.pdf","label":"IPSJ-Z85-5ZE-06.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-5ZE-06.pdf","filesize":[{"value":"247.4 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"46ffafa9-d73a-44ec-a1d0-e167b992940c","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":"田中, 咲希"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"辻, 愛里"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"藤波, 香織"}],"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":"近年，労働人口の減少によりオフィスワークの生産性向上が必要とされている．生産性低下の一要因として，集中力の低下が挙げられる．生産性低下を防ぐ一例として，作業者の非集中状態を検出し，休憩を促すことが考えられる．視線情報を用いてテキスト黙読中の作業者の集中状態・非集中状態の識別を行った結果，テストデータと同一人物のデータで訓練した場合の識別性能に比べ，テストデータと別人物のデータのみで訓練した識別モデルの性能が著しく低いことが明らかになった．この結果から，視線情報の個人差が識別性能に大きな影響を与えることが示唆された．そこで本研究では，テストユーザに特化して識別性能を向上させる手法を検討する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"112","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"111","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T11:04:43.168173+00:00","links":{}}