Using virtual reality for visual analytics is a way to bring embodied perception and interaction to data analysis, which opens a lot of exciting research directions.
IDEA: Immersive Data Exploration and Analysis
IDEA explores immersive analytics by proposing original representations, interaction modalities, and evaluations means. It focuses on multi-dimensional data and HMD-based virtual representations. This project has led to several prototypes, it now includes the PhD thesis of Adrien Fonnet.
Partners: LS2N, Readi Design Lab
Funding: West Creative Industry cluster
Cofunding: University of Nantes / Ministry of Higher Education and Research
- Axes and Coordinate Systems Representations for Immersive Analytics of Multi-Dimensional Data (2018) Adrien Fonnet, Toinon Vigier, Grégoire Cliquet, Fabien Picarougne, Yannick Prié. in 4th International Symposium on Big Data Visual and Immersive Analytics BDVA 2018, Konstanz, Germany, October 2018 Show abstract Axes are the main components of coordinate systems representations. They play a critical role for the visual analysis of multi-dimensional data. However their representation seems to have always be considered self evident, with oriented lines crossing at an origin, completed with labels such as ticks and names. Such classical representation show limits when it comes 3D visualization and immersive analytic (IA), mainly because orthogonal projection of points on linear axes is hard in a 3d environment, and because the user can move therefore the axes can get out of his field of view. In this paper we propose a task-based definition of axes and coordinate systems representation, as well as a tentative design space for coordinates systems representation in immersion. We also present an exploratory user study we carried out to compare three grid-based representations of coordinate systems for multidimensional data analysis with 3D scatterplots.
- Immersive Data Exploration and Analysis (2018) Adrien Fonnet, Florian Melki, Yannick Prié, Fabien Picarougne, Grégoire Cliquet. in Student Interaction Design Research conference, May 2018, Helsinki, Finland. Show abstract This paper belongs to the emerging immersive analytics research field. It presents a system for exploratory analysis of multi-dimensional data focusing on providing freedom of locomotion while remaining comfortable for long user session. The solution allows to investigate temporal traces through a 3D scatterplot using a cylindrical coordinate system. Users are free to move inside the tracked area either standing up or seated in a mobile chair. A limited user study (n=6) has been conducted to investigate if the designed solution was deemed appropriate for mobility and user comfort.
- Towards HMD-based Immersive Analytics (2017) Grégoire Cliquet, Matthieu Perreira, Fabien Picarougne, Yannick Prié, Toinon Vigier. in Immersive analytics Workshop, IEEE VIS 2017, Phoenix, Arizona, United States. Show abstract Advances in 3D hardware and software have led to increasingly cheaper and simple-to-use immersive virtual reality systems that can provide real-time interactive 3D data representation. The immersive analytics field is developing as the newest avatar of 3D visual analyt- ics, which may relaunch the long enduring 2D vs 3D visualization debate. However, the terms of the debate have changed: leveraging 3D human perception within virtual environments is now easier, and the immersive quality of today’s rendering is sufficient enough for researchers to concentrate on testing and designing immersive data representation and interaction rather than on technological problems. In this position paper we propose a short historical perspective on the use of immersive technologies for visual analytics and on the 2D vs 3D debate. We stress out five principles that we think should be followed to explore the HMD-based visual analytics design space, before introducing ongoing work within the IDEA project.
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Experience analysis and modelling
Trace-based Activity Analysis
VR and Psychotherapy