C2 of Unmanned Systems in Distributed ISR Operations

Abstract

This paper describes a series of experiments to investigate issues of human-robot teaming and network centric operations. Experiment objectives were coordinated to address issues within and among the physical, communications, information, and human (cognitive/social) domain layers of the network. Objectives spanned the cognitive, social, and physical domains of the network. In the cognitive domain, researchers tested a predictive performance tool for robotic operators and measured operator situational awareness and workload during missions as these conditions related to reliance upon unmanned surveillance technologies. In the social domain, we documented the ad hoc development of social, task, and knowledge networks during missions. These human dimensions of the network were juxtaposed to the agile computing infrastructure operating over a Future Force surrogate network and an 802.11 network. Results show that many challenges exist across the layers of the network domain architecture. Primary among these is to develop a mobile ad hoc network (MANET) to support mobile and extended vehicle/dismount ranges in a variety of terrain conditions. In the cognitive/social domain, we need to understand what information Soldiers need from a network, when this information is of maximum use, and what form the information should take for maximum situational awareness and decision making.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2008
Accession Number
ADA486817

Entities

People

  • Elizabeth K. Bowman
  • Jeffrey A. Thomas

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Cognition
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Command And Control
  • Line Of Sight
  • Military Research
  • Mobile Ad Hoc Networks
  • Psychology
  • Situational Awareness
  • Surveillance
  • Test Facilities
  • Unmanned
  • Unmanned Aerial Systems
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Vehicles
  • Workload

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Distributed Systems and Data Platform Development
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks
  • Autonomy
  • Autonomy - Human-Robot Interaction