{"updated":"2025-01-19T21:19:11.716901+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00200527","sets":["1164:3980:9689:9906"]},"path":["9906"],"owner":"44499","recid":"200527","title":["時空間的なスマートフォンログ分析に基づく利用者のストレス推定手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-11-13"},"_buckets":{"deposit":"1aea45c7-0d3c-4e99-97b5-510f3bd461c7"},"_deposit":{"id":"200527","pid":{"type":"depid","value":"200527","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"時空間的なスマートフォンログ分析に基づく利用者のストレス推定手法","author_link":["487798","487803","487802","487797","487804","487795","487801","487800","487799","487796"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"時空間的なスマートフォンログ分析に基づく利用者のストレス推定手法"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"MBL","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2019-11-13","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"株式会社NTTドコモ"},{"subitem_text_value":"株式会社NTTドコモ"},{"subitem_text_value":"株式会社NTTドコモ"},{"subitem_text_value":"株式会社NTTドコモ"},{"subitem_text_value":"株式会社NTTドコモ"},{"subitem_text_value":"東京大学"},{"subitem_text_value":"東京大学"},{"subitem_text_value":"慶應義塾大学"},{"subitem_text_value":"慶應義塾大学"},{"subitem_text_value":"慶應義塾大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"NTT DOCOMO, INC.","subitem_text_language":"en"},{"subitem_text_value":"NTT DOCOMO, INC.","subitem_text_language":"en"},{"subitem_text_value":"NTT DOCOMO, INC.","subitem_text_language":"en"},{"subitem_text_value":"NTT DOCOMO, INC.","subitem_text_language":"en"},{"subitem_text_value":"NTT DOCOMO, INC.","subitem_text_language":"en"},{"subitem_text_value":"The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Keio University","subitem_text_language":"en"},{"subitem_text_value":"Keio University","subitem_text_language":"en"},{"subitem_text_value":"Keio 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/200527/files/IPSJ-ITS19079021.pdf","label":"IPSJ-ITS19079021.pdf"},"date":[{"dateType":"Available","dateValue":"2021-11-13"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ITS19079021.pdf","filesize":[{"value":"2.2 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康平"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"太田, 順"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"寺澤, 悠理"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"沖村, 宰"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"前田, 貴記"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11515904","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":"2188-8965","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年わが国ではスマートフォンの普及が進んでおり,スマートフォンを用いたヘルスケア技術に期待が高まってきている.スマートフォンはユーザが日々持ち歩き,使われるものであるため,ユーザの心理状態を反映することが期待できる.本研究では,ユーザのスマートフォン利用や持ち歩きによって収集されるログデータについて,時間的観点,空間的観点の両観点からログを分析し,利用者のストレスを推定する手法を提案する.その結果,20 人のユーザにおいて,推定精度 88.7% で利用者のストレスの高低度合いを推定可能であり,時間だけでなく空間的観点でログを集計することが有効であることを確認した.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告高度交通システムとスマートコミュニティ(ITS)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2019-11-13","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"21","bibliographicVolumeNumber":"2019-ITS-79"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:04:06.663405+00:00","id":200527,"links":{}}