Future problems require human-focused solutions

• Item type: SIG Technical Reports(1)
• 公開日: 2022-08-29
• タイトル: Future problems require human-focused solutions
• タイトル / 言語: en
• タイトル: Future problems require human-focused solutions
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: 若手研究者招待講演
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: 大阪大学
• 著者名: Jaime, Molares
• 著者名(英): Jaime, Molares
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: In this talk, I will discuss recent advances in human behavior sensing technologies when solving economic and social issues currently being researched in ubiquitous and mobile computing. As young researchers, it is our responsibility to shape how the future of ubiquitous and mobile computing will be conducted, by integrating human behavior into our cyber-physical equations we ensure that designs of products and methods can be adaptable and personalized to the end user for each specific application. Mobile and ubiquitous devices such as smartphones, wearables, and IoT cameras, as well as machine learning techniques for human behavior recognition, are currently considered the best method to design solutions in the cyber-physical space. I will introduce three examples of such developments in current top-level research and how such solutions provide future avenues for human-centered solutions in the fields of personal space, healthcare, and industry.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: In this talk, I will discuss recent advances in human behavior sensing technologies when solving economic and social issues currently being researched in ubiquitous and mobile computing. As young researchers, it is our responsibility to shape how the future of ubiquitous and mobile computing will be conducted, by integrating human behavior into our cyber-physical equations we ensure that designs of products and methods can be adaptable and personalized to the end user for each specific application. Mobile and ubiquitous devices such as smartphones, wearables, and IoT cameras, as well as machine learning techniques for human behavior recognition, are currently considered the best method to design solutions in the cyber-physical space. I will introduce three examples of such developments in current top-level research and how such solutions provide future avenues for human-centered solutions in the fields of personal space, healthcare, and industry.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA11838947
• 書誌情報: 研究報告ユビキタスコンピューティングシステム（UBI）; 巻 2022-UBI-75, 号 10, p. 1-1, 発行日 2022-08-29
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2188-8698
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会