CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Stretching the rubber sheet: a metaphor for viewing large layouts on small screens
UIST '93 Proceedings of the 6th annual ACM symposium on User interface software and technology
Communications of the ACM
3-dimensional pliable surfaces: for the effective presentation of visual information
Proceedings of the 8th annual ACM symposium on User interface and software technology
A focus+context technique based on hyperbolic geometry for visualizing large hierarchies
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Navigating hierarchically clustered networks through fisheye and full-zoom methods
ACM Transactions on Computer-Human Interaction (TOCHI)
Evaluating stereo and motion cues for visualizing information nets in three dimensions
ACM Transactions on Graphics (TOG)
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Information Visualization and Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
A Flexible Approach for Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
IEEE Computer Graphics and Applications
Exploring Large Graphs in 3D Hyperbolic Space
IEEE Computer Graphics and Applications
Getting There: The Ten Top Problems Left
IEEE Computer Graphics and Applications
A taxonomy of glyph placement strategies for multidimensional data visualization
Information Visualization
Human Factors in Visualization Research
IEEE Transactions on Visualization and Computer Graphics
A visualization model of interactive knowledge discovery systems and its implementations
Information Visualization
Topological hierarchical tree using artificial ants
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
An interactive and flexible information visualization method
Information Sciences: an International Journal
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With the growing volumes of data, exploring the relationships within the huge amounts of data is difficult. Information visualization uses the human perception system to assist users in analyzing complex relationships and graphical hierarchy trees used commonly to present the relationship among the data. Conventional information visualization approaches fail to consider human factors, they only provide fixed degree of detail to different users. However, different users have different perceptions. A well-known information visualization called 'Magic Eye View' uses a three-dimensional interaction to allow the user to control the degree of detail he would like. However, it fails to consider some important focus + context features such as the smooth transition of the focus region and the global context. In this paper, we propose a novel information visualization method, called the 'Perceptual Eye View,' by which users may control the focus points three-dimensionally enabling different users to view their user-defined degree of detail of information space and to perceive based on their own knowledge and perception. The results demonstrate that our proposed method improve the 'Magic Eye View' by providing smooth transition of the focus region and the global context, which are important focus+context features that the 'Magic Eye View' fails to consider.