Web-based Immersive Analytics in Handheld Augmented Reality

Panagiotis D. Ritsos; James Jackson; Jonathan C. Roberts

Web-based Immersive Analytics in Handheld Augmented Reality

Research output: Contribution to conference › Poster › peer-review

Abstract

The recent popularity of virtual reality (VR), and the emergence of a number of affordable VR interfaces, have prompted researchers and developers to explore new, immersive ways to visualize data. This has resulted in a new research thrust, known as Immersive Analytics (IA). However, in IA little attention has been given to the paradigms of augmented/mixed reality (AR/MR), where computer-generated and physical objects co-exist. In this work, we explore the use of contemporary web-based technologies for the creation of immersive visualizations for handheld AR, combining D3.js with the open standards-based Argon AR framework and A-frame/WebVR. We argue in favor of using emerging standards-based web technologies as they work well with contemporary visualization tools, that are purposefully built for data binding and manipulation.

Original language	English
Publication status	Published - 2017
Event	IEEE Conference on Visualization - Phoenix, United States Duration: 1 Oct 2017 → 6 Oct 2017 Conference number: 2017 http://ieeevis.org/year/2017/welcome

Conference

Conference	IEEE Conference on Visualization
Abbreviated title	IEEE VIS
Country/Territory	United States
City	Phoenix
Period	1/10/17 → 6/10/17
Internet address	http://ieeevis.org/year/2017/welcome

Access to Document

http://pdritsos.com/files/Ritsos-et-al-Poster-VIS2017.pdf

1 Chapter
1 Paper
1 Article

One view is not enough: review of and encouragement for multiple and alternative representations in 3D and immersive visualisation
Roberts, J. C., Butcher, P. & Ritsos, P. D., 3 Feb 2022, In: Computers. 11, 2, 23 p., 20.
Research output: Contribution to journal › Article › peer-review

Open Access
File
267 Downloads (Pure)
Multisensory Immersive Analytics
McCormack, J., Roberts, J. C., Bach, B., Freitas, C. D. S., Itoh, T., Hurter, C. & Marriott, K., 18 Oct 2018, Immersive Analytics. Marriott, K., Schreiber, F., Dwyer, T., Klein, K., Henry Riche, N., Itoh, T., W. S. & Thomas, B. H. (eds.). 1 ed. Switzerland: Springer Nature, Vol. 11190. p. 57-94 (LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Open Access
File
Synthetic visualizations in web-based mixed reality
Ritsos, P. D., Mearman, J., Jackson, J. & Roberts, J. C., Oct 2017. 5 p.
Research output: Contribution to conference › Paper › peer-review

Open Access
File

Cite this

@conference{8a48100bc6d244e09e997ff0907ddad6,

title = "Web-based Immersive Analytics in Handheld Augmented Reality",

abstract = "The recent popularity of virtual reality (VR), and the emergence of a number of affordable VR interfaces, have prompted researchers and developers to explore new, immersive ways to visualize data. This has resulted in a new research thrust, known as Immersive Analytics (IA). However, in IA little attention has been given to the paradigms of augmented/mixed reality (AR/MR), where computer-generated and physical objects co-exist. In this work, we explore the use of contemporary web-based technologies for the creation of immersive visualizations for handheld AR, combining D3.js with the open standards-based Argon AR framework and A-frame/WebVR. We argue in favor of using emerging standards-based web technologies as they work well with contemporary visualization tools, that are purposefully built for data binding and manipulation.",

author = "Ritsos, \{Panagiotis D.\} and James Jackson and Roberts, \{Jonathan C.\}",

year = "2017",

language = "English",

note = "IEEE Conference on Visualization, IEEE VIS ; Conference date: 01-10-2017 Through 06-10-2017",

url = "http://ieeevis.org/year/2017/welcome",

}

TY - CONF

T1 - Web-based Immersive Analytics in Handheld Augmented Reality

AU - Ritsos, Panagiotis D.

AU - Jackson, James

AU - Roberts, Jonathan C.

N1 - Conference code: 2017

PY - 2017

Y1 - 2017

N2 - The recent popularity of virtual reality (VR), and the emergence of a number of affordable VR interfaces, have prompted researchers and developers to explore new, immersive ways to visualize data. This has resulted in a new research thrust, known as Immersive Analytics (IA). However, in IA little attention has been given to the paradigms of augmented/mixed reality (AR/MR), where computer-generated and physical objects co-exist. In this work, we explore the use of contemporary web-based technologies for the creation of immersive visualizations for handheld AR, combining D3.js with the open standards-based Argon AR framework and A-frame/WebVR. We argue in favor of using emerging standards-based web technologies as they work well with contemporary visualization tools, that are purposefully built for data binding and manipulation.

AB - The recent popularity of virtual reality (VR), and the emergence of a number of affordable VR interfaces, have prompted researchers and developers to explore new, immersive ways to visualize data. This has resulted in a new research thrust, known as Immersive Analytics (IA). However, in IA little attention has been given to the paradigms of augmented/mixed reality (AR/MR), where computer-generated and physical objects co-exist. In this work, we explore the use of contemporary web-based technologies for the creation of immersive visualizations for handheld AR, combining D3.js with the open standards-based Argon AR framework and A-frame/WebVR. We argue in favor of using emerging standards-based web technologies as they work well with contemporary visualization tools, that are purposefully built for data binding and manipulation.

M3 - Poster

T2 - IEEE Conference on Visualization

Y2 - 1 October 2017 through 6 October 2017

ER -

Web-based Immersive Analytics in Handheld Augmented Reality

Abstract

Conference

Access to Document

Fingerprint

Research output

One view is not enough: review of and encouragement for multiple and alternative representations in 3D and immersive visualisation

Multisensory Immersive Analytics

Synthetic visualizations in web-based mixed reality

Cite this