Intuitive Database Query, Zooming Query Results Previews

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Transcript Intuitive Database Query, Zooming Query Results Previews

Intuitive Database Query System,
Zooming Query Results Previews
Drawing upon existing literature on
zooming interface technology, intuitive
navigation of large volumes of data,
query previews, and hierarchical query
results, we propose a visual data
search tool with implicit spatial
boolean logic and a 3D (two
dimensions of space and one of scale)
query preview window that will allow
fast, dynamic searches.
Existing
Zooming
Technologies
Pad/Pad++


Pad is a continuously zoomable
interface that navigates through a
set of data that can be described in
two dimensions. The data is
grouped in a hierarchy that is built
over this data. Information may be
stored in the nodes or leaves of the
resulting tree.
Navigation through the tree
includes interstitial animations
(zooming) that provide hints as to
user’s current position within the
hierarchy.
Pad/Pad++


Pad is a continuously zoomable
interface that navigates through a
set of data that can be described in
two dimensions. The data is
grouped in a hierarchy that is built
over this data. Information may be
stored in the nodes or leaves of the
resulting tree.
Navigation through the tree
includes interstitial animations
(zooming) that provide hints as to
user’s current position within the
hierarchy.
Pad/Pad++


Pad is a continuously zoomable
interface that navigates through a
set of data that can be described in
two dimensions. The data is
grouped in a hierarchy that is built
over this data. Information may be
stored in the nodes or leaves of the
resulting tree.
Navigation through the tree
includes interstitial animations
(zooming) that provide hints as to
user’s current position within the
hierarchy.
Space/Scale Diagrams

Space-Scale Diagrams:
Understanding Multiscale
Interfaces
 George
W. Furnas and
Benjamin B. Bederson

Provide a means of describing
different zooming techniques.
Pad/Pad++

2D data image mapped over 3rd
dimension (scale)

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Pad is a 2D + 1D mapping space, where
the 1D is scale
Panning and zooming operations
can be visualized in this space

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
for a constant size window navigating in
3 dimensions
panning moves are within a constant x-y
plane
zooming moves are up and down the z
axis
Fisheye View

Generalized Fisheye Views (1986)
 George
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
W. Furnas
Combine some features of full-zoom
technology with some contextual
information.
Describe a “degree of interest”-information that is of greater interest to
the user will be zoomed, but contextual
information will remain.
Fisheye View

Comparing Fisheye and FullZoom techniques for
Navigation of Hierarchically
Clustered Networks (1993)


Schaffer, D. , Zuo, Z., Bartram, L. ,
Dill, J. , Dubs, S. , Greenberg, S. ,
Roseman, M.
Usability testing that
supports fisheye view’s
usefulness in navigating
hierarchized two-dimensional
data.

2D + 1D data space.
Fisheye View

3D-ZOOM: Interactive Visualization
of Structures and Relations in
Complex Graphics


Application of fisheye zoom
techniques for visualizing 3D medical
models.


Andreas Raab and Michael Ruger
3D + 1D data space.
Allows for deformation of
contextual information and
transparency to de-emphasize
contextual information.
Fisheye View

Fisheye views can be described by
space-scale diagrams


fisheye views can be seen as
overlapping windows in the 2D + 1D
space
with deformations, fisheye views more
closely resemble a lens in 3D space
Perspective Walls/Cone-Trees


Perspective walls
present focus area
and contextual
information.
Cone-trees map the
data + hierarchy into
three dimensional
space.
Cone-Trees


Mapping of the 2D +
1D data space into a
3D representation.
Example with
projections onto 2D
surface.
Navigating Data
Sets/Search
Results
Mapping Search Results
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
Dynamic searches utilizing query
previews and data sets returned
allow for more interactive and
faster searches.
Zero-hit and mega-hit search
returns can be foreseen and
avoided.
2D Data Mapping: Hieraxes

Visualizing Digital
Library Search Results
with Categorical and
Hierarchical Axes


Ben Shneiderman*, David
Feldman, and Anne Rose
Combine hierarchical
data sets with 2D
representation, speed of
summary results.
2D Data Mapping

Spotfire, courtesy of
IVEE Corporation

Dymamic queries,
starfield display for
mapping query results.
2D Data Mapping

Cartia -- mapping metaphor
-- similar to Web Wide
World?
Query Previews

Facilitating Network Data
Exploration with Query
Previews:
A Study of User
Performance and
Preference


Egemen Tanin, Amnon Lotem,
Ihab Haddadin, Ben
Shneiderman, Catherine
Plaisant, and Laura Slaughter
Shows user preference and
enhanced usability of
dynamic queries, utilizing
query previews.
Intuitive Database
Query System,
Zooming Query
Results Previews
Intuitive Database Queries
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Intuitive, simple search
interface
Implicit boolean logic
Dynamic searches
Intuitive Database Queries



Intuitive, simple search
interface
Implicit boolean logic
Dynamic searches
Intuitive Database Queries



Intuitive, simple search
interface
Implicit boolean logic
Dynamic searches
Zooming Query Results Previews


2D + 1D data mapping of query
previews.
Possibly to combine hierarchical
visualization of query results in
zooming interface.