A Framework for Visualizing Information
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Beschreibung
Fundamental solutions in understanding information have been elusive for a long time. The field of Artificial Intelligence has proposed the Turing Test as a way to test for the "smart" behaviors of computer programs that exhibit human-like qualities. Equivalent to the Turing Test for the field of Human Information Interaction (HII), getting information to the people that need them and helping them to understand the information is the new challenge of the Web era. In a short amount of time, the infrastructure of the Web became ubiquitious not just in terms of protocols and transcontinental cables but also in terms of everyday devices capable of recalling network-stored data, sometimes wire lessly. Therefore, as these infrastructures become reality, our attention on HII issues needs to shift from information access to information sensemaking, a relatively new term coined to describe the process of digesting information and understanding its structure and intricacies so as to make decisions and take action.
Describes a framework to make information visualization systems easier to develop through the creation of a reference model Develops and discusses the general utility of this Data State Model, and validates it by applying it to various visualization techniques
Autor*in
E.H. Chi
Themen in »A Framework for Visualizing Information«
computer graphics information information visualization visualization