Card, S. K., Mackinlay, J. D. and Shneiderman, B. (1999) Information Visualization: Using Vision to Think, Morgan Kaufman Publishers, San Francisco, CA.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....is always visible in the top left hand corner) The metadata tags and taxonomy, iconic document overview and grid, are thus brought together to produce a visual overview of the document. The user can query the visualization with their mouse through a combination of dynamic querying and brushing [3]. When the mouse is placed over a cell in the grid all the tags in the column are highlighted; hence the paragraph s content is described. By looking along the row of an interesting tag, the user can see where and to what extent that topic comes up in the document. So by moving the mouse in the ....

....the metadata and paragraph corresponding to the selected cell. The servlet will produce an HTML version of the document in which every paragraph tagged with the selected metadata is highlighted using a bold font. The browser will display the paragraph selected; thereby offering details on demand [3]. An illustrative scenario Scenarios [4] have been found to be effective design and communication tools. Consequently we have included the scenario below to give a better idea of how the functionality described above might be used in practice. Clair, a Sainsbury s (JS) employee, sits down to ....

Card, S. K., Mackinlay, J. D., and Shneiderman, B. Information visualization: Using vision to think. 1999. Morgan Kaufmann.

....Keywords Document interfaces, overview detail, popout effects, thumbnails INTRODUCTION When working with documents, people routinely perform a number of tasks that can be facilitated by an overview detail interface. Overview detail interfaces present multiple, coordinated views of data [3]. For documents, the overview can be used for orientation and navigation, while the detail view shows a portion of the full representation of the document. As an example of a task that can be improved by an overview detail document interface, consider the task of finding a keyword in a document. ....

Card, S.K, Mackinlay J.D., and Shneiderman, B. Information Visualization: Using Vision to Think. Morgan-Kaufmann, San Francisco, 1998.

....is denoted as X i . X represents all the points in a matrix. The distance between two points X i and X j is X X denoted by r ij . The minimization step can be achieved by using either any numerical minimization method, such as steepest descent [11] or by simulating the scene, using leapfrog [12,13], Conjugate Gradients, and Runge Kutta. 4. The Visual Similarity System (VISIM) To analyze large volumes of transaction data with multiple attributes, the methods described in this paper have been integrated into a data analysis visualization system, VISIM. The system uses a web browser with a ....

S. K. Card, J. D. Mackinlay, and B. Shneiderman. Information Visualization Using Vision to Think. Morgan Kaufmann, 1999.

....output can be visualized in many different ways, such as Fig. 1. Figure 1: Mandelbrot set segment created using Thorsen s Java applet http: www.thorsen.priv.no services mandelbrot (X = 1714806 and Y= 0. 6508634) Areas within scientific visualization, and more recently information visualization [2] and software visualization [3] all contribute to bringing art into the computer and into the software which executes in the black box. With regard to dynamic systems in general, with software being one type of system, visualization also has a significant presence [4] Based on the past research ....

Card, Stuart, MacKinlay, Jock and Shneiderman, Ben, Eds, Information Visualization: Using Vision to Think, Morgan Kaufmann, 1999.

....understand how information visualization techniques can be applied more broadly. Keywords Information Visualization, Data State Model, Reference Model, Taxonomy, Techniques, Operators. 1. INTRODUCTION There have been several efforts to produce various information visualization taxonomies [Shneiderman96, Chi97, North98, CMS99]. In this paper, we will present a detailed analysis of a large number of visualization techniques using the Data State Model. The contribution is that our analysis of the information visualization design space is the most detailed and thorough to date. It is more detailed in the sense that we ....

....design space is the most detailed and thorough to date. It is more detailed in the sense that we have broken each technique down by not only its data type, but also by its processing operating steps. It is thorough in that it categorizes the well known techniques in [Chi97] Olive99] and [CMS99]. 2. RELATED WORK Most previous work focused on constructing taxonomies of information visualization techniques uses a data centric point of view. In an article describing the design space of information visualization techniques, Card and Mackinlay started constructing a data oriented taxonomy ....

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S. K. Card, J. D. Mackinlay and B. Shneiderman. Information Visualization: Using Vision to Think. MorganKaufmann, San Francisco, California, 1999.

....view tool. 2.4 Overviews An overview is a portal tool that shows a demagnified (zoomed out) copy of the canvas and is fixed on the screen to help orient the user during navigation. In the literature, the combination of overview portal and parent canvas is called an overview and detail view [7]. 2.5 Filters Filters [13] show a different graphical representation of the region of the canvas that is occluded by the portal object. Filters are useful for displaying two different representations of the same data. Movable filters are filters that the user is allowed to reposition and ....

S. K. Card, J. D. Mackinlay, and B. Shneiderman. Information Visualization: Using Vision to Think, pages 285--286. Morgan-Kaufmann, San Francisco, California, 1998.

....more information into the span of human attention. If a user can attend to more information per unit time, then information processing capacity is increased, thereby amplifying cognition. This guiding principle is explicitly stated as the principle of reducing the cost structure of information [2]. To minimize the cost structure of information many information visualizations attempt to place more relevant information onto a single display. Human visual search, however, is a complicated system that reacts in complicated ways to the number, density, kinds, and distribution of elements in ....

....interactions with highly visual interfaces to content, such as the World Wide Web or information visualizations. Figure 1. The Hyperbolic Tree Browser THE HYPERBOLIC TREE BROWSER The Hyperbolic Tree browser (Figure 1) is an example of a focus context technique. Focus Context visualizations [2] are one class of information visualization that attempt to maximize the use of display resources for presentation of information. The theme of such visualizations is to provide an overview of all the data (or at least a large part of the data) while a user simultaneously processes some specific ....

Card, S.K., J.D. Mackinlay, and B. Schneiderman, Information visualization: Using vision to think. 1999, San Francisco: Morgan-Kaufmann.

....more information into the span of human attention. If a user can attend to more information per unit time, then information processing capacity is increased, thereby amplifying cognition. This guiding principle is explicitly stated as the principle of reducing the cost structure of information [1]. To minimize the cost structure of information many information visualizations attempt to maximize the amount of information that is presented on a given display space. A nave straw man characterization of this approach is that it makes what we will call the display tomind mapping assumption: ....

....of results from a detailed study of eye movements and interactions with the Hyperbolic Tree visualization [8] Figure 1. The Hyperbolic Tree Browser THE HYPERBOLIC TREE BROWSER The Hyperbolic Tree browser (Figure 1) is an example of a focus context technique. Focus Context visualizations [1] are one class of information visualization that attempt to maximize the use of display resources for presentation of information. The theme of such visualizations is to provide an overview of all the data (or at least a large part of the data) while a user simultaneously processes some specific ....

Card, S.K., J.D. Mackinlay, and B. Schneiderman, Information visualization: Using vision to think. 1999, San Francisco: Morgan-Kaufmann.

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Card, S. K., Mackinlay, J. D. and Shneiderman, B. (1999) Information Visualization: Using Vision to Think, Morgan Kaufman Publishers, San Francisco, CA.

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S. Card, M. J.D., and B. Shneiderman, Information Visualization: Using Vision to think, Morgan Kaufmann Publishers, 1999.

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S. K. Card, J. D. Mackinlay, and B. Shneiderman. Information visualization: Using vision to think. Morgan Kaufman Publishers, San Francisco, CA, USA, 1999.

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Card, S. K., Mackinlay, J. D. and Shneiderman, B. (1999) Information Visualization: Using Vision to Think, Morgan Kaufman Publishers, San Francisco, CA.

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S. K. Card, J. D. Mackinlay, and B. Shneiderman. Information Visualization: Using Vision to Think, pages 285--286. Morgan-Kaufmann, San Francisco, California, 1998.

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Card, S.K., et al. (Eds.) Information Visualization: Using Vision to Think. Morgan Kaufmann Publishers, San Francisco, California, pp. 1-34, 1999.

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