Communications Research for Command & Control: Human-Machine Interface Technologies Supporting Effective Air Battle Management

Abstract

Battle management command and control (BMC2) is a communications intensive activity. Weapons directors and mission crew commanders on these platforms are required to monitor as many as eight simultaneous communications channels against a background of moderate to high ambient cabin noise while performing a number of visual and manual tasks, a combination which in the heat of battle is challenging even for the most highly trained operators. Researchers at the Air Force Research Laboratory's Human Effectiveness Directorate (AFRL/HE) have been investigating two technologies to ameliorate this problem: active noise reduction (ANR) headsets and spatial intercoms. ANR headsets cancel environmental noise while preserving speech signals presented via the communications network, while spatial intercoms enhance communications by increasing the effective signal-to-noise ratio of each individual communications channel, taking advantage of the listener's natural ability to efficiently segregate speech streams that are separated in space. This paper will describe investigations at AFRL/HE directed at the enhancement of speech intelligibility in multi-channel tactical BMC2 environments using ANR and spatial intercom technology. Results will be discussed from basic laboratory experimentation, simulated mission scenarios, and field evaluations, and interpreted in the context of the acquisition and integration of such technologies for current and future BMC2 weapons systems.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA464251

Entities

People

  • Brian D. Simpson
  • Douglas S. Brungart
  • Michael A. Vidulich
  • Robert S. Bolia
  • W. T. Nelson

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acoustic Waves
  • Acquisition
  • Air Force Research Laboratories
  • Airborne Warning And Control System
  • Aircrafts
  • Battle Management
  • Cognitive Workload
  • Command And Control
  • Communication Channels
  • Control Systems
  • Data Visualization
  • Human Factors Engineering
  • Human-Machine Interaction
  • Human-Machine Interfaces
  • Noise Reduction
  • Psychology
  • Warfare

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Joint Military Operations and Doctrine.
  • Speech Processing/Speech Recognition.

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control
  • Space