The Effect of Information Acquisition Automation and Workspace Design on Human Pattern Recognition for Information Fusion

Abstract

Automation employed in information fusion systems is designed to help humans combine information derived from multiple sources. The present study examined how information acquisition automation affects human pattern recognition needed to reach higher levels of information fusion. Results showed that when information acquisition was performed through manual operations, pattern recognition performance was similar for both perceptual and symbolic tasks. However, when information acquisition was automated, pattern recognition was better for the perceptual task than for the symbolic task. The results of this research can inform guidelines for the design of common workspaces to support human-machine teaming in future information fusion systems.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2021
Accession Number
AD1157185

Entities

People

  • Kellie L. Turner

Organizations

  • Air Force Institute of Technology

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Automation
  • Cognition
  • Cognitive Science
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Data Displays
  • Engineering
  • Human Systems Integration
  • Human-Computer Interaction
  • Human-Machine Systems
  • Identification
  • Information Processing
  • Information Science
  • Pattern Recognition
  • Psychology
  • Recognition
  • Teamwork

Readers

  • Sensor Fusion and Tracking Systems.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy