Deriving Features for Designing Ambient Media

Kota Gushima; Shuma Toyama; Yukiko Kinoshita; Tatsuo Nakajima

doi:10.1007/978-3-030-22419-6_3

Deriving Features for Designing Ambient Media

Kota Gushima^*, Shuma Toyama, Yukiko Kinoshita, Tatsuo Nakajima

^*Corresponding author for this work

School of Fundamental Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	Augmented Cognition - 13th International Conference, AC 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
Editors	Dylan D. Schmorrow, Cali M. Fidopiastis
Publisher	Springer Verlag
Pages	29-40
Number of pages	12
ISBN (Print)	9783030224189
DOIs	https://doi.org/10.1007/978-3-030-22419-6_3
Publication status	Published - 2019
Event	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 Duration: 2019 Jul 26 → 2019 Jul 31

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11580 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Augmented Cognition, AC 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
Country/Territory	United States
City	Orlando
Period	19/7/26 → 19/7/31

Keywords

Ambient media
Augmented reality
Head-mounted display
Mixed reality
Notification

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-030-22419-6_3

Cite this

Gushima, K., Toyama, S., Kinoshita, Y., & Nakajima, T. (2019). Deriving Features for Designing Ambient Media. In D. D. Schmorrow, & C. M. Fidopiastis (Eds.), 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); Vol. 11580 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-22419-6_3

Deriving Features for Designing Ambient Media. / Gushima, Kota; Toyama, Shuma; Kinoshita, Yukiko et al.
Augmented Cognition - 13th International Conference, AC 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. ed. / Dylan D. Schmorrow; Cali M. Fidopiastis. Springer Verlag, 2019. p. 29-40 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11580 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gushima, K, Toyama, S, Kinoshita, Y & Nakajima, T 2019, Deriving Features for Designing Ambient Media. in DD Schmorrow & CM Fidopiastis (eds), Augmented Cognition - 13th International Conference, AC 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11580 LNAI, Springer Verlag, pp. 29-40, 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, 19/7/26. https://doi.org/10.1007/978-3-030-22419-6_3

Gushima K, Toyama S, Kinoshita Y, Nakajima T. Deriving Features for Designing Ambient Media. In Schmorrow DD, Fidopiastis CM, editors, Augmented Cognition - 13th International Conference, AC 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. Springer Verlag. 2019. p. 29-40. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-22419-6_3

Gushima, Kota ; Toyama, Shuma ; Kinoshita, Yukiko et al. / Deriving Features for Designing Ambient Media. Augmented Cognition - 13th International Conference, AC 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. editor / Dylan D. Schmorrow ; Cali M. Fidopiastis. Springer Verlag, 2019. pp. 29-40 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Deriving Features for Designing Ambient Media

Abstract

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Conference

Keywords

ASJC Scopus subject areas

Access to Document

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