Cooperative Interface Agents for Networked Command, Control, and Communications: Phase II

Abstract

Report developed under a Small Business Innovation Research Program 2000.2 contract for topic A02-024. This Phase II research advanced the Phase I approach to enable improved human-system interaction of mixed human and robotic elements for a company-sized unit. The research reported here explored the utility of intelligent user interfaces for command and control tasks. A system prototype was developed using a virtual simulation environment, Soar-based intelligent agents, and a standards-based communications infrastructure. The prototype was evaluated by active duty Army officers using think aloud and situational awareness protocols conducted during a simulated urban mission. Results from the evaluation indicate that cooperative interface agents may be a practical technique for reducing command and control complexity, especially when manned and unmanned forces are integrated. Although this technique was demonstrated in a relatively simple simulation environment, further research is warranted to assess scalability and usability when applied to more knowledge-rich, real-world environments.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2006
Accession Number
ADA455243

Entities

People

  • Carl W. Lickteig
  • Jack Zaientz
  • Scott D. Wood

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • C4I
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Intelligence
  • Cognitive Systems Engineering
  • Command And Control
  • Command And Control Systems
  • Computer Programming
  • Control Systems
  • Human Systems Integration
  • Human-Computer Interaction
  • Human-Machine Interaction
  • Intelligent Agents
  • Military Organizations
  • Military Research
  • Multiagent Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • User Interface

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control
  • Fully Networked C3
  • Fully Networked C3 - Command and Control