Supervisory Control State Diagrams to Depict Autonomous Activity

Abstract

A recent report on a vision for Air Force science and technology emphasized shifting "from control to autonomy," with a goal of developing autonomous systems that have significantly increased decision making capabilities, requiring little to no human input (Technology Horizons, 2010 p. 42). For future unmanned aerial vehicle (UAV) systems, the operator's central responsibility conceivably shifts from teleoperation to monitoring machines' autonomous activities. Yet research has shown that high levels of automation are negatively related to operator's situation awareness and knowledge of system intent, which can lead to poor decisions and inappropriate responses or actions by the operator.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2013
Accession Number
ADA587428

Entities

People

  • Allen Rowe
  • Benjamin Ausdenmoore
  • Clayton D. Rothwell
  • George Bearden
  • Michael Patzek

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Automation
  • Autonomous Systems
  • Autonomy
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Control Systems
  • Military Research
  • Monitoring
  • Psychology
  • Situational Awareness
  • Supervisory Control
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Vehicles

Readers

  • Joint Military Operations and Doctrine.
  • Systems Analysis and Design
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy
  • Autonomy - Human-Robot Interaction