Accession Number:

AD0481122

Title:

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

Descriptive Note:

Technical rept.,

Corporate Author:

UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES ELECTRONICS PERSONNEL RESEARCH GROUP

Personal Author(s):

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

Report Date:

1966-02-01

Pagination or Media Count:

65.0

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.

Descriptors:

• *COMPUTER PROGRAMMING
• *ELECTRONIC TECHNICIANS
• *CHECKOUT EQUIPMENT
• MAINTENANCE
• MAINTENANCE
• ELECTRONIC EQUIPMENT
• AUTOMATIC
• JOB ANALYSIS
• MAINTENANCE PERSONNEL
• PERFORMANCE(HUMAN)
• ACHIEVEMENT TESTS
• MEASUREMENT
• PERFORMANCE(ENGINEERING)
• PERFORMANCE(HUMAN)
• PROBABILITY
• SAMPLING
• CORRECTIONS
• CIRCUITS
• ALGORITHMS
• MATRICES(MATHEMATICS)

Subject Categories:

• Personnel Management and Labor Relations
• Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE