By Ed H. Chi (auth.)
Fundamental suggestions in knowing info were elusive for a very long time. the sphere of synthetic Intelligence has proposed the Turing try with the intention to try out for the "smart" behaviors of desktop courses that express human-like characteristics. such as the Turing attempt for the sector of Human info interplay (HII), getting info to the folk that desire them and supporting them to appreciate the data is the recent problem of the internet period. In a brief period of time, the infrastructure of the internet grew to become ubiquitious not only by way of protocols and transcontinental cables but additionally when it comes to daily units in a position to recalling network-stored info, occasionally cord lessly. accordingly, as those infrastructures develop into truth, our consciousness on HII matters must shift from details entry to info sensemaking, a comparatively new time period coined to explain the method of digesting details and realizing its constitution and intricacies so one can make judgements and take action.
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Extra info for A Framework for Visualizing Information
We call this data statefocus. We need a modelthat not only describes the data transformation process such as the visualization pipeline, but that also models the data states. 2 Extensibility to New Data Domains In designing a generalized visualization system, we will encounter many new data domains. In extending a visualization system to include a new data domain, the first step is often requirements analysis. The result of requirements analysis is often a user study that specifies the groupings of user tasks or operations, but visualization designers have no framework in which to take advantage of these analyses.
We examined not just view and value, but how intermediate data and visualization abstractions are generated in the analysis process. We discuss the properties of this framework. For example, we suggested three possible ways of implementing operators based on where they are involved in the visualization pipeline. The framework facilitates a new way of exploring the space of visualization operators. Using the Data State Model, this method forms the basis of an evaluation technique for operators in visualizations.
In other words, the model must help users in evaluating and perforrning the actions appropriate to the task. Another issue in user models is that, in different problem-solving situations, users prefer to focus variously on the operations to achieve a single desired result, or on the operands at various stages in the computation. As an example of an Operation focus model, the traditional visualization pipeline model focuses on the process of the visualization, rather than on the state of the data.
A Framework for Visualizing Information by Ed H. Chi (auth.)