Dynamically Managing Task Allocation between Humans and Machines in Surveillance Operations

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

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Document Details

Document Type
Technical Report
Publication Date
Aug 05, 2019
Accession Number
AD1079633

Entities

People

  • Alan Boydstun
  • Jennifer C. Lopez
  • Mary D Frame

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Cognition
  • Cognitive Workload
  • Full Motion Video
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Machine Systems
  • Information Operations
  • Information Processing
  • Intelligence Surveillance And Reconnaissance
  • Psychology
  • Reconnaissance
  • Simulations
  • Surveillance
  • Target Recognition
  • Task Performance And Analysis

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Modeling and Simulation
  • Geospatial Intelligence and Artificial Intelligence Analytics