Psychological Approaches To Data Visualisation

Abstract

The aim of data visualization is to display a body of information in a way which allows accurate and effortless human comprehension and analysis. Accordingly, the development of data visualization techniques should be constrained by an understanding of both human perception and cognition. This report develops and examines a psychological framework for the development of data visualization techniques based on the notion of similarity structure modelling. Through a series of case studies, a range of established approaches to data visualization is reviewed and evaluated within this framework, and a number of suggestions for the development of new techniques is made.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1998
Accession Number
ADA355765

Entities

People

  • Douglas Vickers
  • Michael D Lee

Organizations

  • University of Adelaide

Tags

Communities of Interest

  • Advanced Electronics
  • C4I
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Birds
  • Cognition
  • Complex Systems
  • Construction
  • Data Analysis
  • Data Modeling
  • Data Visualization
  • Engineering
  • Human Behavior
  • Information Processing
  • Information Science
  • Information Systems
  • Neural Networks
  • Personality
  • Personnel Management
  • Psychology
  • Visualizations

Readers

  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Theoretical Analysis.