Keyprocessing Performance: A Method for Determining Operator Performance Standards.

Abstract

The purpose of this research and development was to develop a method for computing standards for the variety of tasks performed by key entry operators in both writing information and verification modes. Because of the difficulties associated with the traditional methods of setting standards, a new method was devised predicted on the influence of attributes or characteristics of source documents and procedures on keystroke rates of operators using the CMC keyprocessing system. When the characteristics associated with keystroke rates are known, standard keystroke rates can be set for these documents and procedures based on the weight of the different characteristics. Historical data on keystroke rate for over 160 different tasks were obtained from two shipyard key entry stations using the CMC system, and adjusted to reflect a normal or 'fair days' work pace to be used as the criterion in a multiple regression analysis of the task characteristics. For each task, over 40 different characteristics were analyzed to determine their effect on keystroke rate. The statistical analysis indicated that only six characteristics were required to set accurate standards for CMC system key punch operators: (1) the size of the document, (2) the color contrast of the document, (3) the maximum number of stokes per source document, (4) the maximum number of strokes per record, (5) the total number of punched fields per record, and (6) the number of records processed per year per operator.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1979
Accession Number
ADA095395

Entities

People

  • Delbert M. Nebeker
  • Jacqueline F. Nocella

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Computer Personnel
  • Computers
  • Contrast
  • Data Processing
  • Efficiency
  • Information Science
  • Instructions
  • Magnetic Tape
  • Motivation
  • Production
  • Productivity
  • Regression Analysis
  • Standards
  • Statistical Analysis
  • Time Standards
  • Work Measurement
  • Workload

Readers

  • Computational Modeling and Simulation
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Educational Psychology