Accession Number:

ADA480551

Title:

From Specific Information Extraction to Inferences: A Hierarchical Framework of Graph Comprehension

Descriptive Note:

Conference paper

Corporate Author:

NAVAL RESEARCH LAB WASHINGTON DC CENTER FOR APPLIED RESEARCH IN ARTIFICIAL INTELLIGENCE

Report Date:

2004-09-01

Pagination or Media Count:

6.0

Abstract:

This study examined how graph readers extract specific information, integrate information, and make inferences from choropleth graphs. The authors present a hierarchical framework of graph comprehension that suggests how graph readers extract different types of information. The framework suggests that the cognitive operations required to extract different types of information build in a hierarchical fashion as the complexity of the type of extraction increases. Empirical data gathered in their laboratory is reviewed in support of the hierarchical framework, and implications of the work are discussed.

Subject Categories:

  • Psychology
  • Anatomy and Physiology
  • Cybernetics
  • Human Factors Engineering and Man Machine Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE