The investigation of interactive graph visualisation in stereoscopic 3D has recently gained increasing attention due to promising initial results and the broad availability of required hardware such as Virtual Reality (VR) headsets. While various software frameworks and libraries for (interactive) graph visualisation in 2D exist, there is a lack of corresponding frameworks supporting VR. This hampers the exploration of design choices and the comparison of approaches, especially for the benefits of virtual environments, slows down the development of novel methods, and requires additional effort from researchers to perform these investigations. We present GAV-VR, a framework for interactive visualisation and analysis of graphs in VR. GAV-VR has a modular architecture to support easy integration of visualisation and analysis method implementations. In this work, we elaborate on the framework's architecture and showcase possible use cases.
%0 Conference Paper
%1 10.2312:egve.20231321
%A Kerle-Malcharek, Wilhelm
%A Feyer, Stefan Paul
%A Schreiber, Falk
%A Klein, Karsten
%B ICAT-EGVE 2023 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments
%D 2023
%E Normand, Jean-Marie
%E Sugimoto, Maki
%E Sundstedt, Veronica
%I The Eurographics Association
%K 2023 a09 d04 sfbtrr161
%R 10.2312/egve.20231321
%T GAV-VR: An Extensible Framework for Graph Analysis and Visualisation in Virtual Reality
%U https://doi.org/10.2312/egve.20231321
%X The investigation of interactive graph visualisation in stereoscopic 3D has recently gained increasing attention due to promising initial results and the broad availability of required hardware such as Virtual Reality (VR) headsets. While various software frameworks and libraries for (interactive) graph visualisation in 2D exist, there is a lack of corresponding frameworks supporting VR. This hampers the exploration of design choices and the comparison of approaches, especially for the benefits of virtual environments, slows down the development of novel methods, and requires additional effort from researchers to perform these investigations. We present GAV-VR, a framework for interactive visualisation and analysis of graphs in VR. GAV-VR has a modular architecture to support easy integration of visualisation and analysis method implementations. In this work, we elaborate on the framework's architecture and showcase possible use cases.
%@ 978-3-03868-218-9
@inproceedings{10.2312:egve.20231321,
abstract = {The investigation of interactive graph visualisation in stereoscopic 3D has recently gained increasing attention due to promising initial results and the broad availability of required hardware such as Virtual Reality (VR) headsets. While various software frameworks and libraries for (interactive) graph visualisation in 2D exist, there is a lack of corresponding frameworks supporting VR. This hampers the exploration of design choices and the comparison of approaches, especially for the benefits of virtual environments, slows down the development of novel methods, and requires additional effort from researchers to perform these investigations. We present GAV-VR, a framework for interactive visualisation and analysis of graphs in VR. GAV-VR has a modular architecture to support easy integration of visualisation and analysis method implementations. In this work, we elaborate on the framework's architecture and showcase possible use cases.},
added-at = {2024-04-12T09:58:24.000+0200},
author = {Kerle-Malcharek, Wilhelm and Feyer, Stefan Paul and Schreiber, Falk and Klein, Karsten},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2ba9e0398b5b0c55cb305ba805b816295/christinawarren},
booktitle = {ICAT-EGVE 2023 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments},
doi = {10.2312/egve.20231321},
editor = {Normand, Jean-Marie and Sugimoto, Maki and Sundstedt, Veronica},
interhash = {e48a97073878ae9ce3b4a97310d5f645},
intrahash = {ba9e0398b5b0c55cb305ba805b816295},
isbn = {978-3-03868-218-9},
issn = {1727-530X},
keywords = {2023 a09 d04 sfbtrr161},
publisher = {The Eurographics Association},
timestamp = {2024-04-12T09:58:24.000+0200},
title = {{GAV-VR: An Extensible Framework for Graph Analysis and Visualisation in Virtual Reality}},
url = {https://doi.org/10.2312/egve.20231321},
year = 2023
}
