Training for Retrieval of Knowledge under Stress through Algorithmic Decomposition

Abstract

This study deals with problems of estimation; specifically, the kind performed by military officers under conditions of uncertainty and stress. Two types of estimation were examined in this document: the estimation of factual quantities, and the revision of probability in base-rate type problems. Two corrective procedures were also tested: algorithm decomposition, in which the target estimate is divided into simple and known sub-estimates, which are then combined according to rule, in order to yield the target estimate; and tutorial instruction in a technique called Training by Mental Imaging (TbMI). Results of the testing were that the algorithmic decomposition approach is inadequate for a non-academic military population, since it imposes high mental load, and diverts attention to the creation of the algorithm. The TbMI approach was found to be efficient in training and improving performance, and promoted generalization as well. Thus, it is recommended that the use of mental imaging be further developed, and expanded for use in a computer-aided instruction (CAI) plan.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1986
Accession Number
ADA178756

Entities

People

  • Colin Kessel
  • Dan Zakay
  • Lydia Bekhor

Tags

Communities of Interest

  • Biomedical
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Aircrafts
  • Algorithms
  • Analysis Of Variance
  • Chi Square Test
  • Cognition
  • Color Vision
  • Computer-Aided Instruction
  • Education
  • Information Processing
  • Judgment
  • Psychology
  • Reasoning
  • Social Sciences
  • Students
  • Thinking
  • Training

Readers

  • Artificial Intelligence
  • Instructional Design and Training Evaluation.