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


Personal Author(s) : Ratwani, Raj M ; Trafton, J G ; Boehm-Davis, Deborah A


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a480551.pdf


Report Date : Sep 2004


Pagination or Media Count : 6


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.


Descriptors :   *COGNITION , *GRAPHS , *INTEGRATION , *EXTRACTION , *COMPREHENSION , *EYE MOVEMENTS , *HIERARCHIES , SYMPOSIA , ARTIFICIAL INTELLIGENCE , EXPERIMENTAL PSYCHOLOGY , INFORMATION PROCESSING , MAN COMPUTER INTERFACE , MAN MACHINE SYSTEMS , TRACKING , CLUSTERING , THEORY , REASONING


Subject Categories : Psychology
      Anatomy and Physiology
      Cybernetics
      Human Factors Engineering & Man Machine System


Distribution Statement : APPROVED FOR PUBLIC RELEASE