Automating the design of graphical presentations of relational information
ACM Transactions on Graphics (TOG)
Using color dimensions to display data dimensions
Human Factors
High-speed visual estimation using preattentive processing
ACM Transactions on Computer-Human Interaction (TOCHI)
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Information visualization: perception for design
Information visualization: perception for design
VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
Chromium: a stream-processing framework for interactive rendering on clusters
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Moticons: detection, distraction and task
International Journal of Human-Computer Studies - Notification user interfaces
Gestalt theory in visual screen design: a new look at an old subject
CRPIT '02 Proceedings of the Seventh world conference on computers in education conference on Computers in education: Australian topics - Volume 8
A taxonomy of glyph placement strategies for multidimensional data visualization
Information Visualization
Semiology of graphics
Beyond visual acuity: the perceptual scalability of information visualizations for large displays
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Move to improve: promoting physical navigation to increase user performance with large displays
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Perception of elementary graphical elements in tabletop and multi-surface environments
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Designing large high-resolution display workspaces
Proceedings of the International Working Conference on Advanced Visual Interfaces
Information visualization on large, high-resolution displays: issues, challenges, and opportunities
Information Visualization - Special issue on State of the Field and New Research Directions
| Hi-index | 0.00 |
Visual encodings are the medium through which information is displayed, perceived, interpreted, and finally transferred from a visualization to the user. Traditionally, such encodings display information as representations of length, color, size, slope, position, and other glyphs. Guidelines for such encodings have been proposed, but they generally assume a small display, small datasets, and a relatively static user. Large, high-resolution visualizations are able to display far more information simultaneously, allowing users to leverage physical navigation (movement) as an effective interaction through which to explore the data space. In this paper, we analyze if and how the choice of visual encodings for large, high-resolution visualizations affects physical navigation, and ultimately task performance for a spatial information visualization task.