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Visual Information Seeking: Tight Coupling of Dynamic Query Filters with Starfield Displays Christopher Ahlberg and Ben

Visual Information Seeking: Tight Coupling of Dynamic Query Filters with Starfield Displays Christopher Ahlberg and Ben Schneiderman. Presented by: Cassie Thomas (cassie@cs.umd.edu). Introduction. introduces three principles for Visual Information Seeking (VIS) -dynamic query filters

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Visual Information Seeking: Tight Coupling of Dynamic Query Filters with Starfield Displays Christopher Ahlberg and Ben

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  1. Visual Information Seeking:Tight Coupling of Dynamic Query Filters with Starfield DisplaysChristopher Ahlberg and Ben Schneiderman Presented by: Cassie Thomas (cassie@cs.umd.edu)

  2. Introduction • introduces three principles for Visual Information Seeking (VIS) -dynamic query filters -tight coupling -starfield displays • New system for VIS, FilmFinder

  3. Description of Paper • Describes the use of direct manipulation for the design of the VIS -rapid, incremental, and reversible actions • The need to support browsing • These concepts are supported by the VIS design principles.

  4. Description of Paper (cont) • Dynamic query filtering-sliders or buttons that are used to change the parameters of the query • Starfield display-the results are continously showing large amounts of data. Usually a 2D scatterplot • Tight Coupling – Shows the relationship of components within an interface

  5. Description of Paper (cont) • Dynamic Query Filters –need to update queries as users adjust sliders, and buttons • Visual representation of query, and results • Rapid and incremental control of query • Immediate and continuous feedback

  6. Description of Paper (cont.) • Tight coupling constrains the user from making errors • The output of one query can be the input to another query • Can click on specific data to get more information (details on demand) • Query can be given different parameters to get other data sets • Affordances for the user • Always shows some information in the display space

  7. Description of Paper (cont) • Creation of the application FilmFinder to test the VIS principles proposed.

  8. Examples (FilmFinder)

  9. Examples (FilmFinder)

  10. My favorite Sentence • “VIS principles developed include: dynamic query filters(query parameters are rapidly adjusted with sliders, buttons, maps, etc.), starfield displays (two dimensional scatterplots to structure result sets and zooming to reduce clutter), and tight coupling (interrelating query components to preserve display invariants and support progressive refinement combined with an emphasis on using search output to foster search input).”

  11. Contribution of the paper to HCI • Direct Manipulation • Supports browsing of databases by -rapid filtering -progressive refinement -continuous reformulation of goals -visual scanning to identify results

  12. Contributions (cont.) • Supplies the HCI community with a framework for the design visual seeking interfaces (HomeFinder, FilmFinder) • Related the benefits of tight-coupling and starfield displays to the area of visual information seeking.

  13. Notes on References • The references pull information from four main areas of research studies -dynamic queries, HCI, information retrieval & Seeking, databases • Other references came from areas in engineering, data visualization, and animation.

  14. Critique- Weaknesses • The authors hardly mention cognitive and perceptual capabilities for processing visual information • The authors mention that the FilmFinder is a tool for “groups” but they don’t relate the principles to collaborative/cooperative VIS systems • There isn’t a clear understanding of the principles • Tight Coupling and its aspects is a little confusing

  15. Critique-Strengths • The paper is interesting to read. • The authors while explaining the key concepts of the paper show examples of how the concepts apply. • Provides a good starting point (overview) of how one might design a good VIS system

  16. What has happened to this topic? • The development of Treemaps with dynamic queries • Used with website log visualization ( understanding patterns of usage for e-commerce) • EOSDIS :NASA’s information system- provides overviews and previews of abstract metadata for users to rapidly get rid of undesired data • Sta

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