VRIA - A Framework for Immersive Analytics on the Web

Peter Butcher; Nigel W. John; Panagiotis D. Ritsos

doi:10.1145/3290607.3312798

VRIA - A Framework for Immersive Analytics on the Web

School of Computer Science & Engineering

University of Chester

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

453 Downloads (Pure)

Abstract

We report on the design, implementation and evaluation of <VRIA>, a framework for building immersive analytics (IA) solutions inWeb-based Virtual Reality (VR), built upon WebVR, A-Frame, React and D3. The recent emergence of affordable VR interfaces have reignited the interest of researchers and developers in exploring new, immersive ways to visualize data. In particular, the use of open-standards web-based technologies for implementing VR in a browser facilitates the ubiquitous and platform-independent adoption of IA systems. Moreover, such technologies work in synergy with established visualization libraries, through the HTML document object model (DOM). We discuss high-level features of <VRIA> and present a preliminary user experience evaluation of one of our use-cases.

Original language	English
Title of host publication	CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI'19 Extended Abstracts)
ISBN (Electronic)	978-1-4503-5971-9/19/05
DOIs	https://doi.org/10.1145/3290607.3312798
Publication status	Published - 2019

Keywords

Immersive Analytics
Information Visualization
Virtual Reality
Web-based Interaction

Access to Document

10.1145/3290607.3312798

2019-VRIAAccepted author manuscript, 3.2 MBLicence: Unspecified

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)
3D visualisations Should Not be Displayed Alone – Encouraging a Need for Multivocality in Visualisation
Roberts, J. C., Mearman, J., Butcher, P., Al-Maneea, H. M. A. & Ritsos, P. D., Sept 2021. 9 p.
Research output: Contribution to conference › Paper › peer-review

Open Access
Learning Activities in Colours and Rainbows for Programming Skill Development
Roberts, J. C., Sept 2021. 9 p.
Research output: Contribution to conference › Paper › peer-review

Open Access

VRIA - A Web-based Framework for Creating Immersive Analytics Experiences,
Ritsos, P. (Participant), Butcher, P. (Participant), John, N. W. (Participant), Elmqvist, N. (Participant) & Batch, A. (Participant)
Impact: Technological, Policy and Public Services, Economic, Environmental

Cite this

@inproceedings{24409f84b2eb4b2e8e22edf29769f0d0,

title = "VRIA - A Framework for Immersive Analytics on the Web",

abstract = "We report on the design, implementation and evaluation of , a framework for building immersive analytics (IA) solutions inWeb-based Virtual Reality (VR), built upon WebVR, A-Frame, React and D3. The recent emergence of affordable VR interfaces have reignited the interest of researchers and developers in exploring new, immersive ways to visualize data. In particular, the use of open-standards web-based technologies for implementing VR in a browser facilitates the ubiquitous and platform-independent adoption of IA systems. Moreover, such technologies work in synergy with established visualization libraries, through the HTML document object model (DOM). We discuss high-level features of and present a preliminary user experience evaluation of one of our use-cases.",

keywords = "Immersive Analytics, Information Visualization, Virtual Reality, Web-based Interaction",

author = "Peter Butcher and John, \{Nigel W.\} and Ritsos, \{Panagiotis D.\}",

year = "2019",

doi = "10.1145/3290607.3312798",

language = "English",

booktitle = "CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI'19 Extended Abstracts)",

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T1 - VRIA - A Framework for Immersive Analytics on the Web

AU - Butcher, Peter

AU - John, Nigel W.

AU - Ritsos, Panagiotis D.

PY - 2019

Y1 - 2019

N2 - We report on the design, implementation and evaluation of , a framework for building immersive analytics (IA) solutions inWeb-based Virtual Reality (VR), built upon WebVR, A-Frame, React and D3. The recent emergence of affordable VR interfaces have reignited the interest of researchers and developers in exploring new, immersive ways to visualize data. In particular, the use of open-standards web-based technologies for implementing VR in a browser facilitates the ubiquitous and platform-independent adoption of IA systems. Moreover, such technologies work in synergy with established visualization libraries, through the HTML document object model (DOM). We discuss high-level features of and present a preliminary user experience evaluation of one of our use-cases.

AB - We report on the design, implementation and evaluation of , a framework for building immersive analytics (IA) solutions inWeb-based Virtual Reality (VR), built upon WebVR, A-Frame, React and D3. The recent emergence of affordable VR interfaces have reignited the interest of researchers and developers in exploring new, immersive ways to visualize data. In particular, the use of open-standards web-based technologies for implementing VR in a browser facilitates the ubiquitous and platform-independent adoption of IA systems. Moreover, such technologies work in synergy with established visualization libraries, through the HTML document object model (DOM). We discuss high-level features of and present a preliminary user experience evaluation of one of our use-cases.

KW - Immersive Analytics

KW - Information Visualization

KW - Virtual Reality

KW - Web-based Interaction

U2 - 10.1145/3290607.3312798

DO - 10.1145/3290607.3312798

M3 - Conference contribution

BT - CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI'19 Extended Abstracts)

ER -

VRIA - A Framework for Immersive Analytics on the Web

Abstract

Keywords

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

3D visualisations Should Not be Displayed Alone – Encouraging a Need for Multivocality in Visualisation

Learning Activities in Colours and Rainbows for Programming Skill Development

Impacts

VRIA - A Web-based Framework for Creating Immersive Analytics Experiences,

Cite this