IMPRINT Analysis of an Unmanned Air System Geospatial Information Process

Abstract

This study evaluated the streaming video analysis portion of the geospatial intelligence process associated with an unmanned aircraft system, which provides information to a four-person, military intelligence, geospatial analysis cell. The Improved Performance Research Integration Tool (IMPRINT) modeling program was used to understand this process and to assess crew workload during several test scenarios. Based on the use of IMPRINT, recommendations are made regarding the level of staffing for this type of system, based on crew workload characteristics discovered. This initial model was the first segment of a more comprehensive model to be developed to look at full mission conditions for a 12-hour shift.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2008
Accession Number
ADA486680

Entities

People

  • Bruce P. Hunn
  • John A. Cahir
  • Kristin M. Schweitzer
  • Mary M. Finch

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Human Systems
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Aircrafts
  • Cognitive Workload
  • Digital Information
  • Employment
  • Geospatial Intelligence
  • Imagery Intelligence
  • Intelligence Cycle
  • Military Intelligence
  • Surveillance
  • Synthetic Aperture Radar
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Vehicles
  • War Colleges
  • Workload

Fields of Study

  • Engineering

Readers

  • Aviation Science / Aeronautics.
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Nanofabrication and Microfabrication.

Technology Areas

  • Autonomy