Collaborative data analytics using virtual reality

H. Nguyen; B. Ward; U. Engelke; B. Thomas; T. Bednarz

doi:10.1109/VR.2019.8797845

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Conference paper

Collaborative data analytics using virtual reality

H. Nguyen, B. Ward, U. Engelke, B. Thomas and T. Bednarz

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)

IEEE Conference on Virtual Reality and 3D User Interfaces (VR) 2019 (Osaka, Japan, 23/03/2019–27/03/2019)

2019

DOI: https://doi.org/10.1109/VR.2019.8797845

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Abstract

Immersive analytics allows a large amount of data and complex structures to be concurrently investigated. We propose a collaborative analytics system that benefits from new advances in immersive technologies for collaborators working in the early stages of data exploration. We implemented a combination of Star Coordinates and Star Plot visualisation techniques to support the visualisation of multidimensional data and the encoding of datasets using simple and compact visual representations. To support data analytics tasks, we propose tools and interaction techniques for users to build decision trees for visualising and analysing data in a top-down method.

Details

Title: Collaborative data analytics using virtual reality
Authors/Creators: H. Nguyen (Author/Creator)
B. Ward (Author/Creator)
U. Engelke (Author/Creator)
B. Thomas (Author/Creator)
T. Bednarz (Author/Creator)
Publication Details: 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)
Conference: IEEE Conference on Virtual Reality and 3D User Interfaces (VR) 2019 (Osaka, Japan, 23/03/2019–27/03/2019)
Identifiers: 991005543349707891
Murdoch Affiliation: Murdoch University
Language: English
Resource Type: Conference paper

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