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Intuitive Database Query System, Zooming Query Results Previews

Intuitive Database Query System, Zooming Query Results Previews.

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Intuitive Database Query System, Zooming Query Results Previews

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  1. 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.

  2. Existing Zooming Technologies

  3. 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.

  4. 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.

  5. 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.

  6. Space/Scale Diagrams • Space-Scale Diagrams: Understanding Multiscale Interfaces • George W. Furnas and Benjamin B. Bederson • Provide a means of describing different zooming techniques.

  7. Pad/Pad++ • 2D data image mapped over 3rd dimension (scale) • Pad is a 2D + 1D mapping space, where the 1D is scale • Panning and zooming operations can be visualized in this space • 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

  8. Fisheye View • Generalized Fisheye Views (1986) • George 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.

  9. Fisheye View • Comparing Fisheye and Full-Zoom 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.

  10. Fisheye View • 3D-ZOOM: Interactive Visualization of Structures and Relations in Complex Graphics • Andreas Raab and Michael Ruger • Application of fisheye zoom techniques for visualizing 3D medical models. • 3D + 1D data space. • Allows for deformation of contextual information and transparency to de-emphasize contextual information.

  11. 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

  12. Perspective Walls/Cone-Trees • Perspective walls present focus area and contextual information. • Cone-trees map the data + hierarchy into three dimensional space.

  13. Cone-Trees • Mapping of the 2D + 1D data space into a 3D representation. • Example with projections onto 2D surface.

  14. Navigating Data Sets/Search Results

  15. Mapping Search Results • 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.

  16. 2D Data Mapping: Hieraxes • Visualizing Digital Library Search Results with Categorical and Hierarchical Axes • BenShneiderman*, David Feldman, and Anne Rose • Combine hierarchical data sets with 2D representation, speed of summary results.

  17. 2D Data Mapping • Spotfire, courtesy of IVEE Corporation • Dymamic queries, starfield display for mapping query results.

  18. 2D Data Mapping • Cartia -- mapping metaphor -- similar to Web Wide World?

  19. 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.

  20. Intuitive Database Query System, Zooming Query Results Previews

  21. Intuitive Database Queries • Intuitive, simple search interface • Implicit boolean logic • Dynamic searches

  22. Intuitive Database Queries • Intuitive, simple search interface • Implicit boolean logic • Dynamic searches

  23. Intuitive Database Queries • Intuitive, simple search interface • Implicit boolean logic • Dynamic searches

  24. Zooming Query Results Previews • 2D + 1D data mapping of query previews. • Possibly to combine hierarchical visualization of query results in zooming interface.

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