The Effect of Wearing Night Vision Goggles on Voice Level During a Visual Target Acquisition Task

Abstract

There have been numerous undocumented reports that military users of night vision goggles (NVGs) tend to talk louder than usual when they wear the viewing device. Increased voice level in response to using the night vision aid could seriously compromise the security of military missions that depend upon stealth for their success. The goal of this study was to investigate the effects of characteristics of the NVGs such as display resolution, field of view, and physical constraint on the voice level of NVG users as the users described military activity of potential targets seen during a visual target acquisition task. The experiment was conducted indoors without the presence of situational variables or psychological stressors ordinarily found in the field. The authors wished to determine whether voice level depended on the physical characteristics of the NVGs. No effect of physical characteristics of the NVGs was observed. The influence of situational variables on the vocal output of NVG users will be examined in a future experiment. Some aspects concerning the procedures used to measure voice levels and to develop a realistic visual target acquisition task are discussed.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2000
Accession Number
ADA376278

Entities

People

  • John O. Merritt
  • Robert Karsh
  • Tomasz R. Letowski
  • V. Cuqlock-knopp

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Behavioral Sciences
  • Biomedical Engineering
  • Computer Science
  • Computers
  • Data Analysis
  • Engineering
  • Health Services
  • Human Factors Engineering
  • Medical Personnel
  • Military Research
  • Night Vision
  • Psychology
  • Standards
  • Target Acquisition
  • Visual Targets
  • Warfare

Readers

  • Circadian Sleep-Wake Regulation and Chronobiology
  • Computer Vision.
  • Speech Processing/Speech Recognition.