Ongoing Efforts towards Developing a Physiologically Driven Training System

Abstract

There have been a number of successes of real-time application of physiological measures in operational environments such as with the control of remotely piloted vehicles (RPV). More recently, similar techniques have been investigated within the context of improving learning. A major challenge of the learning environment is that an individual's ability to perform the task, and thus their workload experienced during the task, are constantly changing. Cognitive Load Theory provides insight into how workload interacts with learning. One aspect of this theory is that as information is learned it reduces working memory demands. This paper discusses results from an RPV training study investigating the effects of workload and learning on pupil diameter. Specifically, pupil diameter decreased overtime as the task difficulty was held constant, and increased as new information was presented. The results of these studies are discussed in terms of how they can be used in a physiologically driven adaptive training system.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2011
Accession Number
ADA638193

Entities

People

  • Carryl Baldwin
  • Ciara Sibley
  • Joseph Coyne

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Adaptive Systems
  • Adaptive Training
  • Artificial Intelligence
  • Closed Loop Systems
  • Cognition
  • Cognitive Workload
  • Diameters
  • Environment
  • Information Operations
  • Learning
  • Military Research
  • Psychological Phenomena And Processes
  • Remotely Piloted Vehicles
  • Training
  • Unmanned Vehicles
  • Workload

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Sensor Fusion and Tracking Systems.