By Ed H. Chi (auth.)
Fundamental strategies in knowing info were elusive for a very long time. the sphere of man-made Intelligence has proposed the Turing attempt so as to try for the "smart" behaviors of machine courses that express human-like features. such as the Turing try out for the sphere of Human details interplay (HII), getting details to the folk that want them and supporting them to appreciate the data is the recent problem of the internet period. In a quick period of time, the infrastructure of the net turned ubiquitious not only by way of protocols and transcontinental cables but additionally by way of daily units in a position to recalling network-stored facts, occasionally twine lessly. consequently, as those infrastructures develop into fact, our consciousness on HII concerns must shift from details entry to info sensemaking, a comparatively new time period coined to explain the method of digesting info and figuring out 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
Another example is the HorneFinder  application in Section 1. Sometimes we would like to apply filtering to generate a data set. Other times we just like to temporarily make certain data points invisible without affecting the underlying data source. The same fittering operation appears to change its property depending on the user's intentions! 20 A FRAMEWORK FOR VISUALIZING INFORMATION How do we unify such seemingly contradictory dassification of operators according to this important property?
Other effects, such as occlusions, shadows, and lighting, can affect the perception of values. 2. 3. 5. lt is an example of a simple Data State Model for generating a visualization. This example applies our framework to show how the Data State Model takes data sets and generates intermediate results and finally creates a visualized view of the data set. Our example consists of a random number generator that takes a seed number to start its operation. Then using this random number generator, the "MathRandom3D" operator creates 3D point sets.
A Value Operator changes the data source by such processes as adding or deleting subsets of the data, filtering or modifying the raw data, and performing a Fourier Transform on an image. A value operator fundamentally generates a new data set. 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 Framework for Visualizing Information by Ed H. Chi (auth.)