Title :
Representation-Independent In-Place Magnification with Sigma Lenses
Author :
Pietriga, Emmanuel ; Bau, Olivier ; Appert, Caroline
Author_Institution :
INRIA Saclay, Univ. Paris-Sud, Orsay, France
Abstract :
Focus+context interaction techniques based on the metaphor of lenses are used to navigate and interact with objects in large information spaces. They provide in-place magnification of a region of the display without requiring users to zoom into the representation and consequently lose context. In order to avoid occlusion of its immediate surroundings, the magnified region is often integrated in the context using smooth transitions based on spatial distortion. Such lenses have been developed for various types of representations using techniques often tightly coupled with the underlying graphics framework. We describe a representation-independent solution that can be implemented with minimal effort in different graphics frameworks, ranging from 3D graphics to rich multiscale 2D graphics combining text, bitmaps, and vector graphics. Our solution is not limited to spatial distortion and provides a unified model that makes it possible to define new focus+context interaction techniques based on lenses whose transition is defined by a combination of dynamic displacement and compositing functions. We present the results of a series of user evaluations that show that one such new lens, the speed-coupled blending lens, significantly outperforms all others.
Keywords :
graphical user interfaces; lenses; 3D graphics; bitmaps; focus-context interaction techniques; information spaces; multiscale 2D graphics; representation-independent in-place magnification; sigma lenses; spatial distortion; speed-coupled blending lens; underlying graphics framework; vector graphics; Graphics; Lenses; Navigation; Nonlinear distortion; Rendering (computer graphics); Three dimensional displays; Two dimensional displays; User interfaces; Vehicle dynamics; Visualization; Graphical user interfaces; evaluation/methodology.; interaction techniques; visualization techniques and methodologies; Algorithms; Computer Graphics; Image Enhancement; Image Interpretation, Computer-Assisted; Lenses; User-Computer Interface;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2009.98