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A Review and Taxonomy of Distortion-Oriented Presentation Techniques Y.K Leung and M.D. Apperley Presentation by Sean Lynch
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Problem In most computer systems, small viewing space Problems: locating items interpreting items determining relationships between items Two techniques: distortion-oriented and non- distortion
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Non-distortion Techniques Display portion of data Divide information space into portions Arrange in a way for presentation
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Problems with non- distortion Inadequate context for navigating large-scale information Solution: distortion-oriented techniques
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Distortion Techniques Allow user to examine local areas in greater detail Fast-growing field with numerous techniques Taxonomy and unified theory needed
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Distortion(2) Essence: local detail and global context
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Polyfocal Display
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Bifocal Display
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Fisheye View(Furnas) Main technique is thresholding
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Fisheye View(Hollands et al.) Used to represent subway network to compare fisheye vs. scrolling Three tasks: route task, locate/route task, itinerary task Generally closer to Bifocal than Furnas
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Fisheye View(Mitta) Presentation for aircraft maintenance data Certain components were suppressed to increase focus Information suppressing technique
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Perspective Wall
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Graphical Fisheye
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Taxonomy Techniques can be broken into two categories: Piece-wise Continuous: Bifocal, Perspective Wall Continuous: Polyfocal, Fisheye Piece-wise can be further broken into constant or varying
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Unified Theory Treat displayed information as if on rubber sheet Consider bifocal display: a, b, c marked on sheet Sheet is stretched and distorted
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A Framework for unifying presentation space M.S.T. Carpendale and Catherine Montagnese
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Elastic Presentation Framework Unified framework for distortion and non-distortion based presentation methods Method of relating distinct methods into a single interface
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Basic Geometric Concepts
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Multi-Scale Presentations Made possible by inclusion of drop-off functions Focal regions set to a particular degree of magnification
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Folding Repositioning of foci in lens Shear viewer-aligned vectors
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Distance Metrics On Lp metrics, can provide different drop off functions
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United Framework Framework provides method of relating distinct methods Allows for more than one presentation in a single interface Lens library offers a range of distortion choices.
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Gaussian Lens Bell-shape Advantage: gentle focal integration Characteristics: focal magnification, good visual integration
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Lens Library From left to right: Gaussian, Cosine, Hemisphere, Linear, Inverse Cosine, Manhattan Top row is focus to distortion Bottom row is distortion to context
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Insets and Offsets Inset is a selected sub-region that is magnified Achieved at cost of local-context Offset is a selected sub-region moved and magnified Occludes other regions
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Detail-In-Context Presentations and Zooming Typical drop-off functions use both x and y for distance function Can use either only x or only y
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EPF Library Representation and presentation kept distinct Lenses have precise magnification control and positioning All lenses can be folded
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Conclusions! Presented a taxonomy and unified theory of distortion- oriented presentation techniques Presented a unified framework for presentation spaces, with many different distortion techniques included
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ANY QUESTIONs?
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