IMPRINT analysis of an unmanned air system geospatial information process / Bruce P. Hunn [and others].

Format:

• Book
• Government document

Contributor:

• Hunn, Bruce P.
• Schweitzer, Kristin M.
• Cahir, John A.
• Finch, Mary M.
• U.S. Army Research Laboratory

Series:

• ARL-TR (Aberdeen Proving Ground, Md.) ; 4513.
• ARL-TR ; 4513

Language:

English

Subjects (All):

• United States. Armed Forces--Workload--Mathematical models.
• Armed Forces (United States).
• Military surveillance--Mathematical models.
• Military intelligence--Mathematical models.
• Geographic information systems--Mathematical models.
• Drone aircraft.
• drone aircraft.

Physical Description:

1 online resource (vi, 36 pages) : illustrations

Place of Publication:

Aberdeen Proving Ground, MD : Army Research Laboratory, [2008]

Summary:

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.

Notes:

• Title from PDF title screen (viewed on March 31, 2010).
• "July 2008."
• Final rept.
• ARMY RESEARCH LAB ABERDEEN PROVING GROUND MD HUMAN RESEARCH AND ENGINEERING DIRECTORATE.
• Includes bibliographical references (page 12).

OCLC:

318691548

Access Restriction:

APPROVED FOR PUBLIC RELEASE.