{"id":177066,"created":"2025-01-19T00:46:39.229964+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00177066","sets":["934:6391:8980:8981"]},"path":["8981"],"owner":"11","recid":"177066","title":["心拍と呼吸を用いたコンテンツ視聴による気分変化の推定：コメディ視聴における検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-01-26"},"_buckets":{"deposit":"97821e18-25b2-429b-9aa6-85befc207f68"},"_deposit":{"id":"177066","pid":{"type":"depid","value":"177066","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"心拍と呼吸を用いたコンテンツ視聴による気分変化の推定：コメディ視聴における検討","author_link":["374989","374992","374997","374996","374991","374995","374990","374993","374994","374988"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"心拍と呼吸を用いたコンテンツ視聴による気分変化の推定：コメディ視聴における検討"},{"subitem_title":"Estimating Mood State Change Caused by Contents Watching Using Heartbeat and Respiration: A study with Comedy Movie","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[研究論文] 心拍，呼吸，コンテンツ視聴，気分変化，コメディ動画","subitem_subject_scheme":"Other"}]},"item_type_id":"3","publish_date":"2017-01-26","item_3_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"日本電信電話株式会社NTTサービスエボリューション研究所"},{"subitem_text_value":"日本電信電話株式会社NTTサービスエボリューション研究所"},{"subitem_text_value":"日本電信電話株式会社NTTサービスエボリューション研究所"},{"subitem_text_value":"日本電信電話株式会社NTTサービスエボリューション研究所"},{"subitem_text_value":"日本電信電話株式会社NTTサービスエボリューション研究所"}]},"item_3_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"NTT Service Evolution Laboratories","subitem_text_language":"en"},{"subitem_text_value":"NTT Service Evolution Laboratories","subitem_text_language":"en"},{"subitem_text_value":"NTT Service Evolution Laboratories","subitem_text_language":"en"},{"subitem_text_value":"NTT Service Evolution Laboratories","subitem_text_language":"en"},{"subitem_text_value":"NTT Service Evolution Laboratories","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/177066/files/IPSJ-TCDS0701007.pdf","label":"IPSJ-TCDS0701007.pdf"},"date":[{"dateType":"Available","dateValue":"2019-01-26"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-TCDS0701007.pdf","filesize":[{"value":"913.0 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"47"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"9649c1b9-186d-40f2-8e32-7675774363ea","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2017 by the Information Processing Society of Japan"}]},"item_3_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"角田, 啓介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"江口, 佳那"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"吉田, 和広"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"渡部, 智樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"水野, 理"}],"nameIdentifiers":[{}]}]},"item_3_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Keisuke, Tsunoda","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kana, Eguchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kazuhiro, Yoshida","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tomoki, Watanabe","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Osamu, Mizuno","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_3_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12628043","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_3_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2186-5728","subitem_source_identifier_type":"ISSN"}]},"item_3_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本稿では，コメディ動画などのコンテンツ視聴によって生じるユーザの気分変化を，バイタルセンサを用いて低負荷に推定する方法について述べる．従来，コンテンツ視聴によって生じたユーザの気分などの心的状態変化を推定するためには，視聴前後にユーザ主観評価を実施する方法が用いられてきた．しかし，これらの方法は視聴前後に数分間ユーザを拘束するためユーザにとって負荷が大きく，多数ユーザに対していっせいに推定することや，多忙なユーザを対象とした推定が困難であった．そのため，視聴前後にユーザの行動を拘束しない方法として，視聴中に顔表情やバイタルデータを測定する方法が提案されてきたが，それらの手法はコンテンツ視聴中に起こりうる，ユーザの顔や体の動きに起因するノイズに影響されるため，正確に測定するためには視聴中にユーザの動作を制限してしまう点が課題であった．そこで本稿では，フィルタ処理によってノイズの影響を抑えつつ測定可能な，心拍数および呼吸数の長期変動に着目する．心拍数および呼吸数の長期変動の類似性がユーザの心的状態と関係があることを示唆している既存研究を基に，視聴中に測定した心拍数および呼吸数の長期変動の類似性から，コンテンツ視聴によって生じるユーザの気分変化を推定する手法を提案する．そして，提案手法を評価するための被験者実験を実施し，20名の被験者から測定したデータに対して提案手法を適用することで，その有効性を示す．","subitem_description_type":"Other"}]},"item_3_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this paper, we proposed the low-invasive method to estimate mood state change caused by watching contents such as movie using vital sensor. Although previous studies have tried to estimate changes in mental state, including mood state, using subjective questionnaire before and after watching contents, it forced user to answer it taking several minutes before and after watching. Other studies have tried to estimate these changes using heart rate variability, facial expression or eye movement during contents watching. However, these method also forced users not to move their body or face dynamically because these methods were affected by instantaneous body or head movement during contents watching. In this paper, we focused on long-term synchronization between heartbeat and respiration, which was hardly affected by instantaneous body or head movement inspired by previous study had found to estimate mood state change caused by watching movie contents. We proposed the method to estimate mood state change using long-term synchronization between heartbeat and respiration. To evaluate our proposal, we conducted the experiment with comedy movie. By the experiment, it is clarified that our proposal can estimate mood state change using long-term synchronization between heartbeat and respiration.","subitem_description_type":"Other"}]},"item_3_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"52","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌コンシューマ・デバイス＆システム（CDS）"}],"bibliographicPageStart":"44","bibliographicIssueDates":{"bibliographicIssueDate":"2017-01-26","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"7"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"updated":"2025-01-20T05:37:54.745668+00:00","links":{}}