A framework for visualizing information
Author(s)
Bibliographic Information
A framework for visualizing information
（Human-computer interaction series / editors-in-chief, John Karat, Jean Vanderdonckt, v. 1）
Kluwer Academic, c2002
Available at 8 libraries
Note
Bibliography: p. 137-144
Includes index
Description and Table of Contents
Description
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.
Table of Contents
List of Figures. List of Tables. Declaration. Preface. Acknowledgments. Foreword. Abstract.
1. Introduction.
2. Data State Reference Model.
3. Validation of Model.
4. Expressiveness of Data State Model.
5. Visualization Spreadsheet Illustrated.
6. Detailed Case Study: Web Analysis Visualization Spreadsheet.
7. Implementation Experience.
8. Related Work.
9. Conclusion.
References. Index.
by "Nielsen BookData"