{"links":{},"id":237390,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00237390","sets":["1164:8666:11564:11724"]},"path":["11724"],"owner":"44499","recid":"237390","title":["エージェントとの対話による食行動への効果"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-07-18"},"_buckets":{"deposit":"912b9e34-3e01-438d-a014-c8e88877906d"},"_deposit":{"id":"237390","pid":{"type":"depid","value":"237390","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"エージェントとの対話による食行動への効果","author_link":["649933","649934"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"エージェントとの対話による食行動への効果"},{"subitem_title":"Effects for eating behavior by talking with agent systems","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2024-07-18","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"神奈川工科大学"},{"subitem_text_value":"神奈川工科大学"}]},"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/237390/files/IPSJ-AAC24025010.pdf","label":"IPSJ-AAC24025010.pdf"},"date":[{"dateType":"Available","dateValue":"2026-07-18"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-AAC24025010.pdf","filesize":[{"value":"9.3 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":"52"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"9325a953-7711-4f02-aaa7-1278f810fd1a","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":"松田, 輝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"三枝, 亮"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12752949","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":"2432-2431","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"咀嚼能力の低下は認知機能や栄養状態の低下，誤嚥リスクを増加させる要因となる．また，食事の早食いは糖尿病のリスクや血糖値の上昇を招くことから，咀嚼回数の向上と早食いの防止が健康を維持する上で有効と考えられる．前研究では食行動認識システムを用い，声がけによる食事者の反応を検出する手法を提案し実験してみたところ，その反応を検出可能であることが示唆された．本研究では前研究で作成したシステムに咀嚼を認識する機能を実装し，食事中の咀嚼動作を検出するシステムを提案する．本システムを用いてエージェントと食事内容についての会話をしながら食事を行うことで，咀嚼回数と食事時間についてどのような影響があるのかを検証する．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Decreased masticatory ability is a factor that causes cognitive function and nutritional status to deteriorate, and increases the risk of aspiration. In addition, since eating too quickly increases the risk of diabetes and blood glucose level, it is effective to improve the number of times of chewing and to prevent eating too quickly in order to maintain good health. In the previous study, we proposed and tested a method to detect the response of a diner to a voice call using a food behavior recognition system, and it was suggested that the proposed method can detect the response of the diner. In this study, we propose a system to detect chewing behavior during a meal by implementing a chewing recognition function to the system developed in the previous study. By using this system, we will examine the effects on the number of chewing and the meal time by having a conversation with the agent about the contents of the meal.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告アクセシビリティ（AAC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-07-18","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"10","bibliographicVolumeNumber":"2024-AAC-25"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:39:59.709172+00:00","updated":"2025-01-19T08:54:00.176298+00:00"}