Case Studies to Enhance Collectively Sharing Human Hearing: Ambient Sounds Memory and Mindful Speaker

Risa Kimura*, Tatsuo Nakajima

*この研究の対応する著者

研究成果: Conference contribution

抄録

Our everyday life is filled with a variety of serendipitous and beautiful sounds that are both natural and artificial. We consciously also unconsciously enjoy these sounds. The sounds are one of the most important factor in our daily life, thus it is a promising direction to use such sounds to develop innovative digital services. In this paper, after presenting a brief overview of our digital platform named CollectiveEars, we show two case studies to use CollectiveEars as an underlying platform to exploit to use the captured diverse sounds in the world. The first case study is named Ambient Sounds Memory and the second case study is named Mindful Speaker. These case studies show the feasibilities to use CollectiveEars to develop future innovative digital services.

本文言語English
ホスト出版物のタイトルDistributed, Ambient and Pervasive Interactions. Smart Living, Learning, Well-being and Health, Art and Creativity - 10th International Conference, DAPI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings
編集者Norbert A. Streitz, Shin’ichi Konomi
出版社Springer Science and Business Media Deutschland GmbH
ページ387-397
ページ数11
ISBN(印刷版)9783031054303
DOI
出版ステータスPublished - 2022
イベント10th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2022 Held as Part of the 24th HCI International Conference, HCII 2022 - Virtual, Online
継続期間: 2022 6月 262022 7月 1

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
13326 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference10th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2022 Held as Part of the 24th HCI International Conference, HCII 2022
CityVirtual, Online
Period22/6/2622/7/1

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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