Accession Number:

ADA503770

Title:

Adaptive Automation for Human-Robot Teaming in Future Command and Control Systems

Descriptive Note:

Journal article

Corporate Author:

ARMY RESEARCH LAB ABERDEEN PROVING GROUND MD HUMAN RESEARCH AND ENGINEERING DIRECTORATE

Report Date:

2007-01-01

Pagination or Media Count:

31.0

Abstract:

Advanced command and control C2 systems such as the U.S. Armys Future Combat Systems FCS will increasingly use more flexible, reconfigurable components, including numerous robotic unmanned air and ground vehicles. Human operators will be involved in supervisory control of unmanned vehicles UVs with the need for occasional manual intervention. This paper discusses the design of automation support in C2 systems with multiple UVs. Following a model of effective human-automation interaction design, the authors propose that operators can best be supported by high-level automation of information acquisition and analysis functions. Automation of decision-making functions, on the other hand, should be set at a moderate level, unless 100 percent reliability can be assured. The use of adaptive automation support technologies also is discussed. They present a framework for adaptive and adaptable processes as methods that can enhance human-system performance while avoiding some of the common pitfalls of static automation such as over-reliance, skill degradation, and reduced situational awareness. Adaptive automation invocation processes are based on critical mission events, operator modeling, and real-time operator performance and physiological assessment, or hybrid combinations of these methods. They describe the results of human-in-the-loop experiments involving human operator supervision of multiple UVs under multi-task conditions in simulations of reconnaissance missions. The results support the use of adaptive automation to enhance human-system performance in supervision of multiple UVs, balance operator workload, and enhance situational awareness. Implications for the design and fielding of adaptive automation architectures for C2 systems involving UVs are discussed.

Subject Categories:

  • Pilotless Aircraft
  • Cybernetics
  • Surface Transportation and Equipment
  • Human Factors Engineering and Man Machine Systems
  • Command, Control and Communications Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE