Judgments of Proportion with Graphs: Object-Based Advantages

Abstract

This study investigated whether a stacked bar s vertical arrangement or single-object properties underlie its accuracy for proportion judgments. We hypothesized that observers would be less accurate when stacked bars were separated than when they formed a single object, according to the object-based theory of attention (Duncan, 1984). Thirty participants judged proportions with three different graph types: bars, stacked bars, and staggered stacked bars. Stacked bars produced smaller error than staggered stacked bars, while bars produced the greatest error. The results show an object-based advantage for stacked bars, but a vertical arrangement advantage for staggered stacked bars over bars was also evident.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2003
Accession Number
ADA636944

Entities

People

  • Justin G. Hollands
  • Olivier St-cyr

Organizations

  • Defence Research and Development Canada

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Analysis Of Variance
  • Cognitive Systems Engineering
  • Combinatorial Analysis
  • Computers
  • Engineering
  • Errors
  • Human-Computer Interaction
  • Industrial Engineering
  • Judgment
  • Liquid Crystal Displays
  • Liquid Crystals
  • Operating Systems
  • Perception
  • Personal Computers
  • Psychology

Readers

  • Gender and Food Studies
  • Quantum Chemistry
  • Systems Analysis and Design