The Effects of Three-Dimensional Graphs on Decision Making

Abstract

The objective of this thesis was to determine whether or not, and by how much, three-dimensional graphs are more accurate and efficient than two- dimensional graphs and tables when presenting alternatives to decision makers. A graphical experiment was designed using a microcomputer. This experiment presented a business scenario to test Air Force Institute of Technology (AFIT) Professional Continuing Education (PCE) students. The experiment attempted to determine how well DoD decision makers accurately and efficiently performed elementary data collection tasks using various graphs or tables. The experiment used a randomized order within-subject factorial design with repeated measures. The factorial experiment was designed to analyze the manipulation of three factors or independent variables, anchoring, mode of presentation, and data-set, to determine their effects on the response variables of degree of accuracy, and response time (efficiency). The results of the accuracy analysis showed that in general, accuracy performance was high for most subjects regardless of the mode of presentation or the task anchoring. The timed response analysis showed that it took subjects longer to interpret three-dimensional line graphs and three- dimensional bar charts for two of the elementary data collection tasks.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1994
Accession Number
ADA285034

Entities

People

  • Anita E. Latin
  • Anthony L. Villanueva

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Analysis Of Variance
  • Combinatorial Analysis
  • Computers
  • Data Science
  • Demography
  • Experimental Design
  • Factorial Design
  • Information Science
  • Plastic Explosives
  • Statistical Algorithms
  • Statistical Analysis
  • Students
  • Surveys
  • Three Dimensional
  • Two Dimensional

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Graph Algorithms and Convex Optimization.
  • Regression Analysis.