Making Graphical Inferences: A Hierarchical Framework

Abstract

A hierarchical framework suggesting how graph readers go beyond explicitly represented data to make inferences is presented. According to our hierarchical framework, graph readers use read-offs, integration and pattern extrapolation to make inferences. Verbal protocol data demonstrates high-level differences in the way inferences are made and eye track data examines these processes at the perceptual level.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2004
Accession Number
ADA480603

Entities

People

  • J. G. Trafton
  • Raj M. Ratwani

Organizations

  • George Mason University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Cognition
  • Cognitive Science
  • Comprehension
  • Extraction
  • Extrapolation
  • Eye
  • Eye Movements
  • Graphs
  • Human-Computer Interaction
  • Human-Machine Interaction
  • Mathematics
  • Military Research
  • Psychology
  • Standards
  • Thinking

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence

Technology Areas

  • AI & ML