Deriving Features for Designing Ambient Media

Kota Gushima, Shuma Toyama, Yukiko Kinoshita, Tatsuo Nakajima

研究成果: Conference contribution

抜粋

In this study, we focus on an information presentation method to reduce cognitive load. For example, a typical method of presenting information in a useful manner is Augmented Reality, which overlays information on the real world; however, this approach causes high cognitive load because it is too loud compared to the real world. Thus, we focus on an ambient media approach proposed by Hiroshi Ishii that works on the background of human consciousness to reduce the cognitive load. We aim to find expressions that are midway between information superposition and ambient media. In this study, we focus on the visual and auditory senses, which are mainly used for information presentation, and learn the features necessary to design ambient media through our case studies. We develop two case studies: HoloList and Ambient Table. We implement and evaluate these systems to learn the features required to design the ambient media.

元の言語English
ホスト出版物のタイトルAugmented Cognition - 13th International Conference, AC 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
編集者Dylan D. Schmorrow, Cali M. Fidopiastis
出版者Springer-Verlag
ページ29-40
ページ数12
ISBN(印刷物)9783030224189
DOI
出版物ステータスPublished - 2019 1 1
イベント13th International Conference on Augmented Cognition, AC 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
継続期間: 2019 7 262019 7 31

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)
11580 LNAI
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Conference

Conference13th International Conference on Augmented Cognition, AC 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
United States
Orlando
期間19/7/2619/7/31

    フィンガープリント

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

これを引用

Gushima, K., Toyama, S., Kinoshita, Y., & Nakajima, T. (2019). Deriving Features for Designing Ambient Media. : D. D. Schmorrow, & C. M. Fidopiastis (版), Augmented Cognition - 13th International Conference, AC 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings (pp. 29-40). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 11580 LNAI). Springer-Verlag. https://doi.org/10.1007/978-3-030-22419-6_3