Component-based, user-constructed, multiple-view visualization

Authors:
Chris North;Ben Shneiderman
Affiliations:
University of Maryland, College Park, MD and Virginia Tech, Blacksburg, VA;University of Maryland, College Park, MD
Venue:
CHI '01 Extended Abstracts on Human Factors in Computing Systems
Year:
2001

Citing 3
Cited 4

Readings in information visualization: using vision to think

Readings in information visualization: using vision to think
Snap-together visualization: can users construct and operate coordinated visualizations?

International Journal of Human-Computer Studies - Empirical evaluation of information visualizations
Toward an information visualization workspace: combining multiple means of expression

Human-Computer Interaction

The Use of a Uniform Declarative Model in 3D Visualisation for Case-Based Reasoning

ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
iLayer: MLD in an operating system interface

Proceedings of the working conference on Advanced visual interfaces
NetLens: iterative exploration of content-actor network data

Information Visualization
Exploring personal media: A spatial interface supporting user-defined semantic regions

Journal of Visual Languages and Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

A major hindrance to the usage of information visualization in common tasks is that typically a new visualization interface must be custom programmed to suit each task. This video demonstrates a system and user interface that attempts to solve this problem by enabling end users to construct their own multiple-view visualization interfaces that are appropriate for their tasks and data. Users accomplish this by snapping together component visualizations and specifying tight couplings between them. Then they can use their newly constructed visualization interfaces to perform their tasks.