The Use of Electrocortical Activity to Monitor Human Decision Making

Abstract

The primary goal of this project is to develop and test techniques whereby a computer could obtain, on-line, information about the activities, intentions or degree of information processing of a human operator, through an analysis of this operator's brainwaves. Researchers have shown that certain components of the human cortical evoked response, specifically the CNV and P300, are very sensitive to the subject's anticipations, intentions and information- processing activity with respect to stimuli. Secondly, when cortical evoked responses are elicited under clearly distinct experimental conditions, it is possible to develop a discriminant function, using the step-wise discriminant analysis. The research plan calls for the identification of such template conditions, the development of the appropriate discriminant functions in baseline experiments and then the creation of closed loops including a subject and a computer.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1974
Accession Number
ADA015128

Entities

People

  • Emanuel Donchin

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Brain
  • Cognition
  • Computers
  • Data Processing
  • Databases
  • Detection
  • Discriminant Analysis
  • Electrophysiological Phenomena
  • Experimental Design
  • Information Processing
  • Information Science
  • Nervous System
  • Psychology
  • Psychophysiology
  • Reaction Time
  • Recognition

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Regression Analysis.