Axes and Coordinate Systems Representations for Immersive Analytics of Multi-Dimensional Data

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 analytics (IA), mainly because orthogonal projection of points on linear axes is hard in a 3d environment, and because the user can move and the axes get out of her field of view. In this paper we propose a taskbased 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 Analytics with Abstract 3D Visualizations: A Survey

“…Working on scatterplots, Fonnet et al . [FVP*18] evaluated different axis positioning and layout strategies for scatterplots in immersive environments. They measured how well participants could estimate relative point locations and reconstruct the exact values ( x , y , z ) of datapoints with different axis layouts.…”

“…[CB20] evaluated the usage of HMDs in the context of immersive serious VR games and came to the conclusion that the HTC VIVE and Oculus Rift seem to be the most popular VR‐HMDs. This view seems to be also supported by the selection of our papers: In work discussed in this paper, the HTC VIVE was used for PCPs [CCD*17], graph visualizations [BC17, DCW*18], interactive lenses [MRS*18], scatterplot layouting strategies [FVP*18], map and flow visualizations [YDJ*19], comparative analysis [KBS*19], highlighting techniques [KCWK19] and cluster identification [KWO*20]. The Oculus Rift was used, among others, for collaborative scatterplot analyses [DDC*15], comparative 2D/3D graph studies [KMLM16], visualizing geological uncertainties [HHC18] and STC visualizations [WSN19].…”

“…Design space – To investigate the design space of scatterplot axes, Fonnet et al . [FVP*18] conducted an experiment comparing plane axes in a 3D scatterplot with a semi‐transparent 3D grid and plane grid lines with additional visual cues to facilitate orientation. Although participants were slower in the tasks with the 3D grid, most of them preferred this variant.…”

Visual Linking of Feature Values in Immersive Graph Visualization Environment

“…The tool provides various multidimensional data visualization techniques including PCP (Parallel Coordinate Plots) and SPLOM (Scatterplot matrices) with arbitrary sets of dimensions according to the manipulations of the axes. There have been several newer studies on immersive multidimensional data visualization [8,21], development of more robust immersive analytics systems [4], and evaluation of immersive analytics processes [2].…”

Embodied Navigation in Immersive Abstract Data Visualization: Is Overview+Detail or Zooming Better for 3D Scatterplots?

“…3D scatterplots have received significant attention in Immersive Analytics research [2,21,25,32,52]. Raja et al [54] found that using body motion and head-tracking in a CAVE-like environment was beneficial compared to non-immersive environments for low-level scatterplot tasks (i.e., cluster detection, distance estimation, point value estimation and outlier detection).…”