A Framework for Analyzing and Discussing Level of Human Control Abstraction

Abstract

It is often useful to understand the impact of an artificial teammate upon human workload in human-machine teams. Levels of Autonomy (LoA) differentiate systems based on control authority. Unfortunately, human workload is not necessarily correlated with LoA. An alternate classification framework, designated the Level of Human Control Abstraction (LHCA), is proposed. LHCA differentiates system states based on the control and monitoring tasks performed and the level of decisions made by humans. The framework defines five levels, designed to differentiate between system states based upon anticipated levels of human attention. This presentation will summarize the framework and demonstrate its application.

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Document Details

Document Type
Technical Report
Publication Date
Mar 23, 2017
Accession Number
AD1055236

Entities

People

  • Johnson D. Clifford

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Cognition
  • Collision Avoidance
  • Collision Avoidance Systems
  • Control Surfaces
  • Control Systems
  • Global Positioning Systems
  • Guidance
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Machine Interfaces
  • Human-Machine Systems
  • Joints (Anatomy)
  • Navigational Equipment
  • Psychology
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems

Fields of Study

  • Computer science

Readers

  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.