Clusters, Trends, and Outliers: How Immersive Technologies Can Facilitate the Collaborative Analysis of Multidimensional Data
Authors
Immersive technologies such as augmented reality devices are opening up a new design space for the visual analysis of data. This paper studies the potential of an augmented reality environment for the purpose of collaborative analysis of multidimensional, abstract data. We present ART, a collaborative analysis tool to visualize multidimensional data in augmented reality using an interactive, 3D parallel coordinates visualization. The visualization is anchored to a touch-sensitive tabletop, benefiting from well-established interaction techniques. The results of group-based, expert walkthroughs show that ART can facilitate immersion in the data, a fluid analysis process, and collaboration. Based on the results, we provide a set of guidelines and discuss future research areas to foster the development of immersive technologies as tools for the collaborative analysis of multidimensional data.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 100%
A Design Space For Data Visualisation Transformations Between 2D And 3D In Mixed-Reality Environments
CHI '22· Mixed Reality Workspaces +1
- 75%
Learning to Automate Chart Layout Configurations Using Crowdsourced Paired Comparison
CHI '21· Interactive Data Visualization
- 60%
Using Animation to Alleviate Overdraw in Multiclass Scatterplot Matrices
CHI '18· Interactive Data Visualization +1
- 60%
Improving Early Navigation in Time-Lapse Video with Spread-Frame Loading
CHI '19· Interactive Data Visualization +1
- 60%
Interactive Repair of Tables Extracted from PDF Documents on Mobile Devices
CHI '19· Interactive Data Visualization
- 60%
HoloDoc: Enabling Mixed Reality Workspaces that Harness Physical and Digital Content
CHI '19· Mixed Reality Workspaces +1
- 60%
Evaluation of a Financial Portfolio Visualization using Computer Displays and Mixed Reality Devices with Domain Experts
CHI '20· Mixed Reality Workspaces +1
- 60%
Automatic Annotation Synchronizing with Textual Description for Visualization
CHI '20· Interactive Data Visualization +1
- 60%
DFSeer: A Visual Analytics Approach to Facilitate Model Selection for Demand Forecasting
CHI '20· Interactive Data Visualization +1
- 60%
Interaction Techniques for Visual Exploration Using Embedded Word-Scale Visualizations
CHI '20· Interactive Data Visualization +1
Based on Jaccard similarity of research subtopics & professions (≥60%)