Accession Number:

AD1079633

Title:

Dynamically Managing Task Allocation between Humans and Machines in Surveillance Operations

Descriptive Note:

Technical Report,01 Jun 2017,31 Jan 2019

Corporate Author:

Wright State Research Institute Beavercreek United States

Personal Author(s):

• Frame,Mary
• Lopez,Jennifer
• Boydstun,Alan

Report Date:

2019-08-05

Pagination or Media Count:

42.0

Abstract:

The purpose of this technical report is to articulate the construction of the Autonomous Manager AM as an integral component of distributing multiple tasks between humans and autonomous agents, particularly in Intelligence, Surveillance, and Reconnaissance ISR, and provides information on the parameterization and validation of this tool via initial simulations prior to instantiation and empirical testing. These simulation studies were essential for calibrating the decision logic of the AM for scenarios where multiple simultaneous independent tasks must be maintained, for example, an analyst watching multiple unrelated Full-Motion Video FMV windows while also categorizing a series of Synthetic Aperture Radar SAR images. This provided a framework for understanding, as well as code that has been further tested in an empirical series of studies

Descriptors:

• human machine systems
• intelligence surveillance and reconnaissance
• calibration
• scenarios
• Full Motion Video
• synthetic aperture radar
• radar images
• test and evaluation

Subject Categories:

• Human Factors Engineering and Man Machine Systems
• Military Intelligence

Distribution Statement:

APPROVED FOR PUBLIC RELEASE