Demonstrating VisTiles: Visual Data Exploration Using Mobile Devices

Ricardo Langner, Tom Horak, Raimund Dachselt.
In: Proceedings of the 2018 International Conference on Advanced Visual Interfaces. ACM, 69:1-69:3, 2018.
AVI '18 Demonstration

Abstract

We demonstrate the prototype of the conceptual VisTiles framework. VisTiles allows exploring multivariate data sets by using multiple coordinated views that are distributed across a set of mobile devices. This setup allows users to benefit from dynamic and user-defined interface arrangements and to easily initiate co-located data exploration sessions.

The current web-based prototype runs on commodity devices and is able to determine the spatial device arrangement by either a cross-device pinch gesture or an external tracking system. Multiple data sets are provided that can be explored by different visualizations (e.g., scatterplots, parallel coordinate plots, stream graphs). With this demonstration, we showcase the general concepts of VisTiles and discuss ideas for enhancements as well the potential for application cases beyond data analysis.

Accompanying Demonstration to our Full Paper

This is the accompanying demonstration of our TVCG 2018 full paper VisTiles: Coordinating and Combining Co-located Mobile Devices for Visual Data Exploration. Please cite the full paper when referencing this work. During the ACM AVI 2018 conference, the demo will be shown on Wednesday evening (May 30).

Video

In a hurry? We also have a 30-second preview video.

Project Page

Detailed information can also be found at our project page: imld.de/vistiles.

Bibtex

@InProceedings{Langner2018a,
   author    = {Ricardo Langner and Tom Horak and Raimund Dachselt},
   title     = {Demonstrating VisTiles: Visual Data Exploration Using Mobile Devices},
   booktitle = {Proceedings of the 2018 International Conference on Advanced Visual Interfaces},
   series    = {AVI '18},
   year      = {2018},
   pages     = {69:1--69:3},
   location  = {Castiglione della Pescaia, Grosseto, Italy},
   doi       = {10.1145/3206505.3206583},
   publisher = {ACM},
}