Attention Filtering in the Design of Electronic Map Displays: A Comparison of Color-Coding, Intensity Coding, and Decluttering Techniques

Abstract

In a series of experiments, the use of color-coding, intensity coding, and decluttering were compared order to assess their potential benefits for accessing information from electronic map displays. Participants viewed electronic battlefield maps containing five classes of information discriminable by color, intensity, or in the decluttering condition, displayed or removed entirely by a keypress. Participants were asked questions requiring them to focus on objects within a class (i.e., objects presented at the same color or intensity) or divide their attention between objects in different classes (i.e., objects presented at different colors and intensities). The results suggested that the benefits of color and intensity coding appear to be in segregating the visual field rather than calling attention to the objects presented at a certain color or intensity. Interactivity proved to be a disadvantage; the cost of information retrieval outweighed the benefits of presenting less information on the display or even allowing map users to customize their displays. Potential applications of this research include a cost-benefit analysis for the use of three attentional filtering techniques and presents an attempt to quantitatively measure map complexity.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2000
Accession Number
ADA436641

Entities

People

  • Christoper D. Wickens
  • Michelle Yeh

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Army Personnel
  • Battlefields
  • Cognitive Systems Engineering
  • Color Coding
  • Computer Programming
  • Computers
  • Costs
  • Data Analysis
  • Filtration
  • Human Factors Engineering
  • Information Processing
  • Information Retrieval
  • Information Science
  • Jet Propulsion
  • Military Research
  • Psychology
  • Students

Readers

  • Database Systems and Applications
  • Human-Computer Interaction (HCI).

Technology Areas

  • AI & ML
  • Microelectronics