{"updated":"2025-01-19T11:59:06.828023+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00227998","sets":["1164:4061:11136:11332"]},"path":["11332"],"owner":"44499","recid":"227998","title":["クラウドソーシングを用いたアノテーションにおける不良回答の検出手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-09-18"},"_buckets":{"deposit":"52836b9d-183e-4f23-aea2-d5c9d2ae7447"},"_deposit":{"id":"227998","pid":{"type":"depid","value":"227998","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"クラウドソーシングを用いたアノテーションにおける不良回答の検出手法","author_link":["608376","608373","608374","608375"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"クラウドソーシングを用いたアノテーションにおける不良回答の検出手法"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"データ分析手法","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2023-09-18","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"奈良先端科学技術大学院大学"},{"subitem_text_value":"奈良先端科学技術大学院大学"},{"subitem_text_value":"奈良先端科学技術大学院大学"},{"subitem_text_value":"奈良先端科学技術大学院大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Nara Institute of Science and Technology","subitem_text_language":"en"},{"subitem_text_value":"Nara Institute of Science and Technology","subitem_text_language":"en"},{"subitem_text_value":"Nara Institute of Science and Technology","subitem_text_language":"en"},{"subitem_text_value":"Nara Institute of Science and Technology","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/227998/files/IPSJ-UBI23079018.pdf","label":"IPSJ-UBI23079018.pdf"},"date":[{"dateType":"Available","dateValue":"2025-09-18"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-UBI23079018.pdf","filesize":[{"value":"3.0 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":"c589c8d5-858e-4380-9792-b1e944eb8362","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"福光, 嘉伸"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松田, 裕貴"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"諏訪, 博彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"安本, 慶一"}],"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":"アノテーション作業をクラウドソーシングで行うことにより,低コストで機械学習のための学習データを収集できる.しかし,対価として報酬を付与すると可能な限り速く回答を行おうとする行動が起こり,不良回答が発生する問題がある.そこで,本研究ではアノテーションタスクを対象として不良回答をリアルタイムで検出することを目指し,作業中の画面操作から得られるカーソル移動量や操作時間などの特徴量を用いた検出手法を提案する.本稿では,手法実現のための基礎的な分析として,提案する特徴量と不良回答との関係性を調査した結果,および構築した適切回答・不良回答の分類モデルの評価結果について報告する.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","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":"2023-09-18","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"18","bibliographicVolumeNumber":"2023-UBI-79"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:27:14.787253+00:00","id":227998,"links":{}}