Enhancing Human-Machine System Performance by Introducing Artificial Cognition in Vehicle Guidance Work Systems

Abstract

This paper advocates the introduction of so-called cognitive and cooperative automation into vehicle guidance work systems. The work system of UAV guidance will be taken as an example. This idea radically breaks with the traditional approach of supervisory control. According to our approach the human will no longer be the only instance in the work process being responsible for the pursuit of the given work objective. We call this novel mode of human-automation interaction cooperative control. Suchlike automation will take over a more active part and develop its own initiative to achieve the aim of work and thereby enhance the human-machine system's performance. This paper provides a comprehensive description of the top-level work system design incorporating cognitive automation, a brief outline on the realisation of artificial cognition and the description of an application example taken from the multi-UAV guidance and mission management domain. The experiments show that cognitive cooperation provides a high potential for human performance enhancement on the level of cognitive work.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2009
Accession Number
ADA567867

Entities

People

  • Axel Schulte

Organizations

  • Bundeswehr University Munich

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Aircrafts
  • Autonomous Systems
  • Cognition
  • Control Systems
  • Fighter Aircraft
  • Guidance
  • Human Factors Engineering
  • Human-Machine Interaction
  • Human-Machine Systems
  • Military Aircraft
  • Military Operations
  • Motor Skills
  • Prototypes
  • Psychology
  • Supervisory Control
  • Teamwork
  • Unmanned Aerial Vehicles

Fields of Study

  • Engineering

Readers

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