MEASUREMENT AND PREDICTION OF COGNITIVE LOADINGS IN CORRECTIVE MAINTENANCE TASKS: I. A BAYESIAN APPROACH.

Abstract

This report describes methods for analyzing the cognitive loadings involved in electronics troubleshooting tasks. The symptom-malfunction matrix is introduced as the basis for matching electronics technicians' troubleshooting capabilities to hardware requirements. S-M matrices show interrelationships between possible malfunctions and the set of symptoms which each malfunction can cause. Based on these matrices, the Bayesian Electronics Trouble Shooter (BETS) model was developed as a criterion measure of troubleshooting ability.

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1966
Accession Number
AD0481122

Entities

People

  • Anthony K. Mason
  • Douglas M. Towne
  • Joseph W. Rigney
  • Nicholas A. Bond Jr.

Organizations

  • University of Southern California

Tags

DTIC Thesaurus Topics

  • Bayesian Networks
  • Electronics
  • Maintenance
  • Malfunctions
  • Measurement
  • Models
  • Troubleshooting

Readers

  • Game Theory.
  • Instructional Design and Training Evaluation.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Microelectronics