Neuroergonomics - Analyzing Brain Function to Enhance Human Performance in Complex Systems

Abstract

Why Neuroergonomics? To design effective human-machine systems, we must (1) Understand mind in relation to work and technology -- ergonomics (2) Mind cannot be understood without studying the brain -- neuroscience (3) Hence study brain and mind in complex work domains -- Neuroergonomics. Neuroergonomics can provide for more effective and natural interaction between humans and technology. Two examples of Neuroergonomics: (1) Neuroimaging and adaptive automation -- Enhancing performance of operators supervising multiple unmanned vehicles (2) Molecular genetics and proteomics -- Identifying rapid decision makers in command and control.

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Document Details

Document Type
Technical Report
Publication Date
Dec 02, 2008
Accession Number
ADA505921

Entities

People

  • Raja Parasuraman

Organizations

  • George Mason University

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Adaptive Systems
  • Amino Acids
  • Automation
  • Brain
  • Change Detection
  • Cognitive Workload
  • Command And Control
  • Complex Systems
  • Detection
  • Genes
  • Genetics
  • Human-Machine Systems
  • Molecular Genetics
  • Neuroimaging
  • Neurosciences
  • Target Recognition
  • Unmanned Vehicles

Readers

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

Technology Areas

  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Biotechnology
  • Fully Networked C3
  • Fully Networked C3 - Command and Control