Operator State Estimation for Adaptive Aiding in Uninhabited Combat Air Vehicles

Abstract

This research demonstrated the first closed-loop implementation of adaptive automation using operator functional state in an operationally relevant environment. In the Uninhabited Combat Air Vehicle (UCAV) environment, operators can become cognitively overloaded and their performance may decrease during mission critical events. This research demonstrates an unprecedented closed-loop system, one that adaptively aids UCAV operators based on their cognitive functional state A series of experiments were conducted to 1) determine the best classifiers for estimating operator functional state, 2) determine if physiological measures can be used to develop multiple cognitive models based on information processing demands and task type, 3) determine the salient psychophysiological measures in operator functional state, and 4) demonstrate the benefits of intelligent adaptive aiding using operator functional state. Aiding the operator actually improved performance and increased mission effectiveness by 67%.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2005
Accession Number
ADA442522

Entities

People

  • Christopher A. Russell

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Biomedical Engineering
  • Cognitive Workload
  • Computational Science
  • Data Mining
  • Data Science
  • Dimensionality Reduction
  • Health Services
  • Human Factors Engineering
  • Information Processing
  • Information Science
  • Knowledge Management
  • Machine Learning
  • Psychology
  • Psychophysiology
  • Task Performance And Analysis
  • Test And Evaluation

Readers

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