{"updated":"2025-01-19T09:07:34.738518+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236779","sets":["6504:11678:11684"]},"path":["11684"],"owner":"44499","recid":"236779","title":["マルチモーダルデータによるアイスブレイク時の場の和み度の推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"a2a2a645-0297-42b5-949b-0034e2f9a455"},"_deposit":{"id":"236779","pid":{"type":"depid","value":"236779","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"マルチモーダルデータによるアイスブレイク時の場の和み度の推定","author_link":["647401","647399","647398","647397","647396","647400"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"マルチモーダルデータによるアイスブレイク時の場の和み度の推定"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータと人間社会","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":"東大"},{"subitem_text_value":"東大"},{"subitem_text_value":"ダイキン工業"},{"subitem_text_value":"ダイキン工業"},{"subitem_text_value":"ダイキン工業"},{"subitem_text_value":"東大"}]},"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/236779/files/IPSJ-Z86-7G-01.pdf","label":"IPSJ-Z86-7G-01.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-04"}],"format":"application/pdf","filename":"IPSJ-Z86-7G-01.pdf","filesize":[{"value":"305.4 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"2d3c43fb-6776-4fe9-a40c-aecb01fbfde2","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":"胡, 献引"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伴, 祐樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"濱村, 航明"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"鈴木, 晴菜"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"足利, 朋義"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"割澤, 伸一"}],"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":"本研究では，アイスブレイク時に参加者が感じる話しやすさと定義した「場の和み度」を客観的な指標を用いて自動的に推測する手法の確立を目指す．4人グループのアイスブレイクにおいて，全員の顔表情，姿勢，および心電，呼吸，皮膚電位，瞳孔径を含めた生体情報からなるマルチモーダルデータを用いて，参加者自身が会話の動画を振り返って評価した場の和み度を推定する畳み込みニューラルネットワークCNNモデルを構築し，場の和み度の高い・低いの二分類において，交差検証で平均精度は0.82，平均F1スコアは0.74の結果を得た．さらに，客観的指標からみたアイスブレイクに適した温熱環境に関する検討も行い，場の和み度が高い時は温冷感も上昇することがわかった．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"336","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"335","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:39:01.679639+00:00","id":236779,"links":{}}