DEVELOPMENT OF A TAXONOMY OF HUMAN PERFORMANCE: A REVIEW OF THE FIRST YEAR'S PROGRESS

Abstract

The report briefly describes technical progress during the first year of a five year project to develop and verify a taxonomic system for the classification of human task performance. During this initial year, the major efforts on the project proceeded along four lines of activity: (1) review of previous taxonomic efforts, (2) development of an integrative model, (3) development of provisional classification schemes, and (4) development of a human performance data base. Previous taxonomic efforts were reviewed to provide guidelines and suggest approaches for the development of classification systems. An integrative model was developed to indicate which areas had to be taken into account in the development of a comprehensive task taxonomy. A provisional classification scheme, based on human abilities identified in earlier correlational studies, was developed to indicate the feasibility of using such an approach and to isolate some of the practical problems that might be encountered in the development of a taxonomy. Work on another provisional classification scheme, based on observable characteristics of tasks, has been initiated. The requirements of a human performance data base were defined to provide a resource and a research tool for testing provisional classification systems being developed.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1968
Accession Number
AD0684583

Entities

People

  • Armand N. Chambers
  • Edwin A. Fleishman
  • Robert G. Kinkade

Organizations

  • American Institutes for Research

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Applied Psychology
  • Behavioral Research
  • Behavioral Sciences
  • Biological Sciences
  • Databases
  • Education
  • Engineering
  • Engineers
  • Human Factors Engineering
  • Information Processing
  • Information Science
  • Information Systems
  • Materials
  • Motor Skills
  • Psychology
  • Systems Engineering
  • Task Performance And Analysis

Readers

  • Business Analytics
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.