A Framework for Visualizing Information

1. Front Matter

   Pages i-xxiv

   PDF

2. Introduction

   • Ed H. Chi

   Pages 1-11

3. Data State Reference Model

   • Ed H. Chi

   Pages 13-41

4. Validation of Model

   • Ed H. Chi

   Pages 43-50

5. Expressiveness of Data State Model

   • Ed H. Chi

   Pages 51-63

6. The Visualization Spreadsheet Illustrated

   • Ed H. Chi

   Pages 65-97

7. Detailed Case Study: Web Analysis Visualization Spreadsheet

   • Ed H. Chi

   Pages 99-108

8. Implementation Experience

   • Ed H. Chi

   Pages 109-119

9. Related Work

   • Ed H. Chi

   Pages 121-129

10. Conclusion

    • Ed H. Chi

    Pages 131-136

11. Back Matter

    Pages 137-147

    PDF

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.

• computer graphics
• information
• information visualization
• visualization

• Xerox Palo Alto Research Center, Palo Alto, USA

  Ed H. Chi

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