{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236272","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236272","title":["対話文とユーザ背景に基づき類似した個性を獲得するペルソナ対話エージェント"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"8172b4f0-e854-4d5a-9057-c1b764b837e4"},"_deposit":{"id":"236272","pid":{"type":"depid","value":"236272","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"対話文とユーザ背景に基づき類似した個性を獲得するペルソナ対話エージェント","author_link":["645798","645796","645797"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"対話文とユーザ背景に基づき類似した個性を獲得するペルソナ対話エージェント"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","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":"名工大"},{"subitem_text_value":"名工大"},{"subitem_text_value":"名工大"}]},"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/236272/files/IPSJ-Z86-2W-04.pdf","label":"IPSJ-Z86-2W-04.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-2W-04.pdf","filesize":[{"value":"614.4 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"971605be-cd6a-4580-96d6-d2c9b486ff4b","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"近藤, 一希"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐久間, 拓人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"加藤, 昇平"}],"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AIとの対話が日常的になりつつある．話者の情報を短文で表現するペルソナを用いて，既存のチャットAIの課題であった一貫性を向上させた研究が存在する．しかし，個性の獲得という点で改善点が存在し，親密性の向上が期待される．本研究ではユーザの個性を反映するためSNS情報に着目し，互いの発話文からペルソナを更新するSNS情報を背景とした対話エージェントを提案する．実験においてペルソナとSNS情報の有無によって4種類生成したエージェントと対話させ一貫性・語彙性・流暢性・親密性について5段階で評価させた．結果，ペルソナを追加するのみの手法と比較してSNS情報を与えた手法は親密性の面で高い評価を得た ．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"880","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"879","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236272,"updated":"2025-01-19T09:19:31.107184+00:00","links":{},"created":"2025-01-19T01:38:13.978056+00:00"}