Command and Control in Complex and Urban Terrain: Human Performance Modeling

Abstract

Current Command and Control (C2) systems don't provide commanders/leaders/soldiers with the information collection capabilities and decision aids needed to collectively plan the battle; to see first, understand first, act first, and finish decisively during close combat in complex and urban terrain. Specific barriers to decision superiority include the following: inadequate collaborative decision aids to visualize, describe, and control mixed assets (sensors, robots, and Soldiers); algorithms for decision-making with partial or incomplete information, inadequate algorithms for tailored, dynamic information push/pull to support the integration of mixed assets in close combat, and inadequate algorithms for situational awareness and focus in complex/urban terrain.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA460901

Entities

People

  • Elizabeth Bowman
  • Gary Yerace

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • C4I
  • Engineered Resilient Systems
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Cognitive Workload
  • Command And Control
  • Databases
  • Information Science
  • Information Systems
  • Infrastructure
  • Knowledge Management
  • Military Education
  • Military Operations
  • Military Research
  • Motor Skills
  • Networks
  • Organizational Structure
  • Personnel Management
  • Situational Awareness
  • Warfare

Readers

  • Robotics and Automation.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Autonomy - UAVs
  • Fully Networked C3
  • Fully Networked C3 - Command and Control