From Specific Information Extraction to Inferences: A Hierarchical Framework of Graph Comprehension
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2004
- Accession Number
- ADA480551
Entities
People
- Deborah A. Boehm-davis
- J. Gregory Trafton
- Raj M. Ratwani
Organizations
- United States Naval Research Laboratory