Human Supervision of Multiple Autonomous Vehicles

Abstract

To support the vision of a system that enables a single operator to control multiple next-generation unmanned air vehicles from a single workstation, a new interface paradigm is required. The interface must consider different types and levels of human-automation interactions. For instance, the interaction will move from one of human-directed mode selection and activation to more dynamic, bilateral and mixed-initiative human-automation decision-making, collaboration, negotiation, even conflict resolution across a range of situations. This project involved several threads of research to start examining human-automation interaction issues. One research thread focused on determining the appropriate level of automation for tasks envisioned for supervisory control of multiple UASs. Another thread involved the design and evaluation of a temporal interface for support of multi-UAS control and interaction with automation. Finally, a third research thread involved support for other projects that informed future operator-automation interfaces. This report provides a brief review of these research threads.

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Document Details

Document Type
Technical Report
Publication Date
Mar 22, 2013
Accession Number
ADA606578

Entities

People

  • Gloria L. Calhoun
  • Heath A. Ruff

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Autonomous Vehicles
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Control Systems
  • Pattern Recognition
  • Psychology
  • Reliability
  • Supervision
  • Supervisory Control
  • Time Sensitive Targets
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Unmanned Vehicles

Readers

  • Mycotoxin ecology in Amazonian ecosystems.
  • Robotics and Automation.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy
  • Autonomy - Human-Robot Interaction