By Ed H. Chi (auth.)
Fundamental strategies in figuring out details were elusive for a very long time. the sector of man-made Intelligence has proposed the Turing try that allows you to try for the "smart" behaviors of computing device courses that show human-like traits. akin to the Turing try out for the sphere of Human details interplay (HII), getting details to the folks that want them and assisting them to appreciate the knowledge is the recent problem of the net period. In a brief period of time, the infrastructure of the internet turned ubiquitious not only when it comes to protocols and transcontinental cables but additionally by way of daily units in a position to recalling network-stored info, occasionally cord lessly. for this reason, as those infrastructures develop into truth, our recognition on HII concerns must shift from info entry to details sensemaking, a comparatively new time period coined to explain the method of digesting details and realizing its constitution and intricacies as a way to make judgements and take action.
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Extra info for A Framework for Visualizing Information
This is made explicit by the Data State Model. Third, the framework cleanly solves the operator semantics problern, because it models the separation between view and value. The view versus value filtering example mentioned in the introduction of this chapter is an excellent example of how the framework forces interaction designers to realize potential ambiguity in the semantics of operators. By forcing designers to think about where operators exist in the pipeline, the operator semantics are made explicit.
A View Operator, on the other hand, changes the visualization content only. Examples of such operators include 3D rotation, translation, and zooming, a horizontal or vertical ftip of an image, and changing transparency values of a surface in order to see the underlying structures better. A view operator fundamentally does not change the underlying data set. The distinction between a view and value operator is not always clear. For instance, for an image, since the value is the image pixel values, the modification of the colormap represents a raw pixel value modification, and therefore, should be classified as a value operator.
2: Data Transformation Operators, Visualization Transformation Operators, and Visual Mapping Transformation Operators. There are four types of Within Stage Operators, and they correspond to the four stages of the information visualization pipeline. They are Data Stage Operators, Analytical Abstraction Stage Operators, Visualization Abstraction Stage Operators, and View Stage Operators. Here we present some examples of each seven types of operators. The left hand side shows the domain that is associated with the example operators.
A Framework for Visualizing Information by Ed H. Chi (auth.)