Cooperative Interface Agents for Networked Command, Control, and Communications (CIANC3)

Abstract

The research reported here explored methods for effectively controlling FCS units containing mixed human and robotic elements. The objective was to determine whether an agent framework built around three specified agent types (Tasking, Coordinating, and Monitoring) could be constructed to add an intelligent abstraction layer between human commanders and battlefield elements. The focus was to identify human-system interaction issues, design potential solutions, and create software that supports the commander's tasks and mitigates inherent human performance limitations. A prototype interface agent architecture was designed, and a framework was implemented. Interface agents were created to perform in a simple, simulated battle scenario. The work conducted during Phase I lays the foundation for a Phase II plan to create more realistic scenarios and test the utility of interface agents in a variety of experimental settings.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2003
Accession Number
ADA414232

Entities

People

  • Scott D. Wood

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • C4I
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Intelligence
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Computer Programming
  • Control Systems
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Computer Interaction
  • Intelligent Agents
  • Multiagent Systems
  • Psychology
  • Situational Awareness
  • Task Performance And Analysis
  • Unmanned Aerial Vehicles
  • Unmanned Ground Vehicles
  • Unmanned Vehicles

Readers

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

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - Human-Robot Interaction