By Ed H. Chi (auth.)
Fundamental recommendations in knowing info were elusive for a very long time. the sector of synthetic Intelligence has proposed the Turing try that allows you to attempt for the "smart" behaviors of desktop courses that show human-like traits. corresponding to the Turing try for the sector of Human details interplay (HII), getting info to the folk that want them and aiding them to appreciate the knowledge is the recent problem of the net period. In a quick period of time, the infrastructure of the internet grew to become ubiquitious not only when it comes to protocols and transcontinental cables but in addition by way of daily units able to recalling network-stored facts, occasionally twine lessly. for this reason, as those infrastructures develop into truth, our realization 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 with a view to make judgements and take action.
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Extra resources for A Framework for Visualizing Information
Assurne the user is interested in selecting homes in a relatively expensive neighborhood that fall in her price range. Say that the user is interested in seeing the distribution of the hornes over the geographical locations while she rnanipulates the price slider to include only highly-priced homes. If the user is merely interested in how the plot view changes while manipulating the price sliders, we would then argue that the table view should not change at all, because the task sernantics do not require the original data source to be modified.
The use of nodes to represent operators emphasizes the processing stages in the pipeline rather than the data states. This causes visualization pipeline models to omit the details of how individual data sets is processed. Instead, we use a state model, where each node represents a certain data state, and each edge is an operator transforming the data from one state to the next. Instead of stages, each node in the network is a state describing the status of the data. Each directed edge from a state to another state describes the operator that is applied to modify the data.
For example, a merge data set operation is often a· simple 'join' comrnand in a relational database. Data State Reference Model 39 6. 1 Three Classes of Users of this Model Three kinds of people can benefit from this framework. First, this framework provides a clean and concise model for end-users to understand how to operate a general visualization system and to predict the results of applying operators. The usability of the system is enhanced by bridging the gulf of execution because users can more predictablly understand how operators are suppose to affect values and views in the system.