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.
P. D. Ritsos, J. Jackson, and J. C. Roberts, “Web-based Immersive Analytics in Handheld Augmented Reality,” in Posters presented at the IEEE Conference on Visualization (IEEE VIS 2017), Phoenix, Arizona, USA, 2017.
Bibtex
@inproceedings{Ritsos-et-al-Poster-VIS2017,
author = {Ritsos, Panagiotis D. and Jackson, James and Roberts, Jonathan C.},
title = {{Web-based Immersive Analytics in Handheld Augmented Reality}},
year = {2017},
month = oct,
booktitle = {Posters presented at the IEEE Conference on Visualization (IEEE VIS 2017), Phoenix, Arizona, USA}
}