Web-based Immersive Analytics in Handheld Augmented Reality
Research output: Contribution to conference › Poster › peer-review
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2017. Poster session presented at IEEE Conference on Visualization, Phoenix, Arizona, United States.
Research output: Contribution to conference › Poster › peer-review
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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 -