{"created":"2025-01-19T01:04:39.164632+00:00","updated":"2025-01-19T21:03:52.143968+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00201381","sets":["6164:6165:6462:10022"]},"path":["10022"],"owner":"44499","recid":"201381","title":["Voice Assistant アプリの大規模実態調査"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-10-14"},"_buckets":{"deposit":"5132f386-7919-4629-a5c0-710db41f239b"},"_deposit":{"id":"201381","pid":{"type":"depid","value":"201381","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Voice Assistant アプリの大規模実態調査","author_link":["492246","492241","492239","492240","492245","492238","492243","492236","492242","492244","492237","492235"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Voice Assistant アプリの大規模実態調査"},{"subitem_title":"A Large-Scale Investigation of Voice Assistant Apps","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Voice Assistant，クラウドアプリ，トラッキング","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2019-10-14","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"早稲田大学"},{"subitem_text_value":"早稲田大学／情報通信研究機構"},{"subitem_text_value":"早稲田大学／NTTセキュアプラットフォーム研究所"},{"subitem_text_value":"NTTセキュアプラットフォーム研究所"},{"subitem_text_value":"早稲田大学"},{"subitem_text_value":"早稲田大学／情報通信研究機構／理研AIP"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Waseda University","subitem_text_language":"en"},{"subitem_text_value":"Waseda University / National Institute of Information and Communications Technology","subitem_text_language":"en"},{"subitem_text_value":"Waseda University / NTT Secure Platform Laboratories","subitem_text_language":"en"},{"subitem_text_value":"NTT Secure Platform Laboratories","subitem_text_language":"en"},{"subitem_text_value":"Waseda University","subitem_text_language":"en"},{"subitem_text_value":"Waseda University / National Institute of Information and Communications Technology / RIKEN AIP","subitem_text_language":"en"}]},"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/201381/files/IPSJCSS2019088.pdf","label":"IPSJCSS2019088.pdf"},"date":[{"dateType":"Available","dateValue":"2021-10-14"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJCSS2019088.pdf","filesize":[{"value":"1.2 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":"30"},{"tax":["include_tax"],"price":"0","billingrole":"46"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"da455d25-22b2-4deb-a4ba-28d93ba1c368","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"刀塚, 敦子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"飯島, 涼"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"渡邉, 卓弥"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"秋山, 満昭"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"酒井, 哲也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"森, 達哉"}],"nameIdentifiers":[{}]}]},"item_18_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Atsuko, Natatsuka","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ryo, Iijima","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takuya, Watanabe","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Mitsuaki, Akiyama","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tetsuya, Sakai","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tatsuya, Mori","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_18_relation_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_select":"NCID","subitem_relation_type_id_text":"ISSN　1882-0840"}}]},"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_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Voice Assistantの代表的な実装例であるGoogle Assistantでは，Actionと呼ばれる，公式もしくはサードパーティ製のVoice Assistantアプリ (以下VAアプリ) が提供されている．VAアプリはスマートフォンにおけるアプリとは異なり端末へのインストールを必要としないが，クラウド上で動作するため挙動の大部分はユーザーに対する透明性に欠ける．本研究ではGoogle Assistantを対象に，サードパーティによって開発された日本語版VAアプリの大規模実態調査を行う．事前調査としてVAアプリのメタデータを収集し，基礎統計を調査する．また音声コマンドによってVAアプリとの対話を行い，その内容に応じてどのような手法でユーザーをトラッキングしているかを網羅的に調査する．調査の結果42%のVAアプリが何らかの方法でユーザーをトラッキングしていること，及びプライバシーリスクの懸念がある方法でトラッキングを実施しているVAアプリの存在を明らかにした．本論文ではトラッキングを行うVAアプリの特徴を示すとともに，VAアプリの理想的なトラッキング方法について議論する．","subitem_description_type":"Other"}]},"item_18_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In Google Assistant, which is a typical example of Voice Assistant systems, functions are provided by official or third-party Voice Assistant applications (VA apps). Unlike mobile app, a VA app is not installed on a device and works as a cloud service. Therefore, behaviors of VA app are not transparent to users. In this research, we conduct a large-scale investigation of Japanese version third-party VA apps, targeting Google Assistant. As a pre-survey, we conduct metadata survey of VA apps and take statistics. We call VA apps by voice commands acquired from the statistics and investigate how they get information. As a result, we found that 42% of VA apps perform user tracking and there are several VA apps that track users in a way with the concerns of privacy risks. Finally, we demonstrate the characteristics of VA apps with user tracking and discuss the ideal user tracking for VA apps.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"625","bibliographic_titles":[{"bibliographic_title":"コンピュータセキュリティシンポジウム2019論文集"}],"bibliographicPageStart":"618","bibliographicIssueDates":{"bibliographicIssueDate":"2019-10-14","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2019"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":201381,"links":{}}