Head Mounted Alerting for Urban Operations via Tactical Information Management System

Abstract

The United States military possesses unprecedented tactical alert generation capabilities but could quickly overwhelm a soldier conducting an urban operation with too much information. For this program, the authors investigated the use of a proof of concept Information Management Engine (IME) to allow a soldier to filter the information he receives, via a head mounted presentation system, through an intuitive training process. For the authors' purposes, the pieces of information that are sent to the soldier are referred to as `alerts' and can be in the form of text, audio (speech), imagery, or streaming video. The objective is to provide a "peripheral awareness" capability that presents appropriate information via a head mounted see-around video display and an integrated earphone. Toward this end, the authors developed a prototype Tactical Alert Management System (TAMS) that uses the IME to determine if and how an alert should be presented to the user. The authors then developed a set of experiments to assess the military utility of the TAMS concept. Finally, the authors conducted an after action review and reported the results in this document.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2006
Accession Number
ADA451389

Entities

People

  • Michael Daily
  • Robert Gray
  • Ron Azuma
  • Susan Gottschlich
  • Youngkwan Cho

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Cyber
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Application Software
  • Computers
  • Control Systems
  • Human-Machine Interaction
  • Information Science
  • Machine Learning
  • Military Science
  • Military Training
  • Ontologies
  • Reliability
  • Situational Awareness
  • Supervised Machine Learning
  • Three Dimensional
  • United States
  • Video Games
  • Warfare

Fields of Study

  • Computer science

Readers

  • Emergency Management and Homeland Security.
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.