The Discrimination of Graphical Elements

Abstract

A model is proposed to account for how people discriminate quantities shown in pie charts and divided bar graphs (i.e. which proportion is larger, A or B?) The incremental estimation model assumes than an observer sequentially samples from the available perceptual features in a graph. The relative effectiveness of sampled perceptual features is represented by the spread of probability distributions, in the manner of signal detection theory. The model's predictions were tested in two experiments. Participants took longer with pies than divided bars and longer with non-aligned than aligned proportions in Experiment 1. In Experiment 2, participants took longer with divided bars than pies when graphs were of unequal size. Generally, graphical formats producing longer response times incurred a greater time penalty when the difference between proportions was reduced. These results were in accordance with the model's predictions. Implications for graphical display design are discussed.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2001
Accession Number
ADA636943

Entities

People

  • Ian Spence
  • J. G. Hollands

Organizations

  • DRDC Toronto

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Detection
  • Discrimination
  • Errors
  • Feedback
  • Information Operations
  • Judgment
  • New York
  • Numbers
  • Observers
  • Perception
  • Probability
  • Probability Distributions
  • Psychology
  • Random Walk
  • Signal Detection
  • Square Roots

Fields of Study

  • Psychology

Readers

  • Computer Vision.
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Regression Analysis.