{"created":"2025-01-19T01:33:30.141781+00:00","updated":"2025-01-19T10:24:24.292703+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00232562","sets":["1164:3865:11476:11512"]},"path":["11512"],"owner":"44499","recid":"232562","title":["動作を合成した自己顔映像のフィードバックが引き込みに与える影響の調査"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-02-22"},"_buckets":{"deposit":"dca45a5e-85b3-40ca-a26b-efa3009058c0"},"_deposit":{"id":"232562","pid":{"type":"depid","value":"232562","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"動作を合成した自己顔映像のフィードバックが引き込みに与える影響の調査","author_link":["629805","629804","629803","629801","629802","629806","629808","629807"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"動作を合成した自己顔映像のフィードバックが引き込みに与える影響の調査"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Wellness, Mental, 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Information Science and Technology, The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Education, Tamagawa University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Humanities and Social Sciences, Ibaraki University","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/232562/files/IPSJ-MBL24110002.pdf","label":"IPSJ-MBL24110002.pdf"},"date":[{"dateType":"Available","dateValue":"2026-02-22"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MBL24110002.pdf","filesize":[{"value":"3.4 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":"35"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"5d86f5da-e3c8-4bdf-88b7-3903624c083c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"宮嶋, 佑輔"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大西, 鮎美"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"寺田, 努"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"加藤, 浩"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"葛岡, 英明"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"久保田, 善彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"鈴木, 栄幸"}],"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":"AA11851388","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":"2188-8817","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"見ている動作につられるようにして動く現象は引き込み現象とよばれる．先行研究において，この引き込み現象は主に他者の動作をトリガとしているが，筆者らは自分自身の映像のほうがより引き込みが起こりやすい可能性があると考えた．そこで本研究では，PC 画面上に表示されている自分自身の顔映像にフェイスアニメーションツールを用いてリアルタイムに動作を合成して実際の動作とは異なる動作をさせ，本人が PC 画面上で自分の姿を見た際に引き込みが起こるのかを検証した．状況ごとに引き込みが起こったかを分析するのは長時間の実験を繰り返すこととなり多大な労力がかかるため，本研究では基礎調査として，身体感覚を表す代表的なパラメタである身体所有感，動作主体感やパーソナリティ特性と引き込みとの関係も調べることで，動作合成パターン，身体所有感をはじめとしたパラメタ，引き込みの 3 者の関係を明らかにした．これにより，各状況における身体所有感，操作主体感やパーソナリティ特性を調べれば，どの程度引き込みが起こるかが評価可能となる．実験の結果，身体所有感および操作主体感と引き込みにそれぞれ負の相関が得られた．また，パーソナリティ特性の分類法である BigFive を用いて個人のパーソナリティと引き込みの関係も調べたところ，関係があるとはいえないことが分かった．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告モバイルコンピューティングと新社会システム（MBL）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-02-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"2024-MBL-110"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":232562,"links":{}}