A Survey of Designs for Combined 2D+3D Visual Representations
arXiv:2401.05438 · doi:10.1109/TVCG.2024.3388516
Abstract
We examine visual representations of data that make use of combinations of both 2D and 3D data mappings. Combining 2D and 3D representations is a common technique that allows viewers to understand multiple facets of the data with which they are interacting. While 3D representations focus on the spatial character of the data or the dedicated 3D data mapping, 2D representations often show abstract data properties and take advantage of the unique benefits of mapping to a plane. Many systems have used unique combinations of both types of data mappings effectively. Yet there are no systematic reviews of the methods in linking 2D and 3D representations. We systematically survey the relationships between 2D and 3D visual representations in major visualization publications -- IEEE VIS, IEEE TVCG, and EuroVis -- from 2012 to 2022. We closely examined 105 papers where 2D and 3D representations are connected visually, interactively, or through animation. These approaches are designed based on their visual environment, the relationships between their visual representations, and their possible layouts. Through our analysis, we introduce a design space as well as provide design guidelines for effectively linking 2D and 3D visual representations.
References in corpus (16)
- The Topology ToolKit
- Personal Augmented Reality for Information Visualization on Large Interactive Displays
- ShapeBots: Shape-changing Swarm Robots
- Origin-Destination Flow Maps in Immersive Environments
- Maps and Globes in Virtual Reality
- Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration
- Visual Abstraction
- ScaleTrotter: Illustrative Visual Travels Across Negative Scales
- Corresponding Supine and Prone Colon Visualization Using Eigenfunction Analysis and Fold Modeling
- Visual Analysis of Large Multivariate Scattered Data using Clustering and Probabilistic Summaries
- Scale-Space Splatting: Reforming Spacetime for the Cross-Scale Exploration of Integral Measures in Molecular Dynamics
- The Anatomical Edutainer
- Visualization of Human Spine Biomechanics for Spinal Surgery
- sMolBoxes: Dataflow Model for Molecular Dynamics Exploration
- Multiscale Visual Drilldown for the Analysis of Large Ensembles of Multi-Body Protein Complexes
- Interactive Visual Analysis of Structure-borne Noise Data