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A model for smooth viewing and navigation of large 2D information spaces
Jarke J van Wijk1, Wim A A Nuij
1Department of Mathematics and Computer Science, Technische Universiteit Eindhoven, Eindhoven, The Netherlands. vanwijk@win.tue.nl
This study introduces a new model for smooth image viewing, optimizing animations between different levels of detail. It ensures users maintain context and overview during interactive exploration of large visual data.
Area of Science:
- Computer Graphics
- Human-Computer Interaction
- Information Visualization
Background:
- Navigating large 2D information spaces (maps, images, visualizations) requires dynamic level-of-detail adjustments.
- Users frequently alter their viewpoint during interactive sessions, necessitating context preservation.
Purpose of the Study:
- To present a generic model for smooth image viewing and interactive navigation.
- To develop a metric for simultaneous zooming and panning based on perceived velocity.
- To derive optimal solutions for animation, automatic zooming, and camera path parametrization.
Main Methods:
- Developed a metric based on perceived velocity to quantify the impact of simultaneous zooming and panning.
- Derived shortest path solutions for a virtual camera using the defined metric.
- Conducted a user experiment to determine optimal animation speed and zoom/pan trade-off parameters.
- Explored extensions for handling rotation and non-uniform scaling.
Main Results:
- A generalized model for smooth image viewing was established.
- Optimal animations between different views were calculated based on the perceived velocity metric.
- The model provides solutions for automatic zooming and parametrization of camera paths.
- User study validated parameter choices for animation speed and zoom/pan trade-off.
Conclusions:
- The proposed model enables smooth and efficient navigation in large 2D information spaces.
- The metric effectively guides virtual camera movement for optimal user experience.
- The model is extensible to include more complex transformations like rotation and non-uniform scaling.
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