University of Stuttgart, Germany
Navigation, Timelines, Distortion.
Abstract Data Visualization
Computer Vision, Visualization and Computer Graphics
General Data Visualization
Interactive Visual Interfaces for Visualization
Interface and Interaction Techniques for Visualization
Large Data Visualization
Usability Studies and Visualization
Visual Representation and Interaction
We propose a novel interactive user interface for the efficient, one-dimensional navigation in massive, ordered datasets. Applying a multi-layered, distorted visualization we provide both context and detail information about the investigated data and allow for both large scale and precise navigation. Adjacent layers display the data at gradually varying scales. This creates a visual relation between data points at different levels of detail and enables the user to browse through the data at varying speeds. Thereby, a sense of global context is retained, while at the same time detail information about the current focus position is kept in view.
We believe that this approach is suitable for the investigation of massive, ordered datasets such as time-based data series, lists, or tables and discuss its possible applications in an example scenario.