Conceptualizing in Assembly Tasks.

Abstract

This paper gives a method to determine a person's hypothetical conceptualization of an object -- its breakdown into subassemblies, subsubassemblies, and so on -- from the person's sequence of requests for pieces given a group of conceptualizations, there is a typical one. The hypothesis that assembly instructions presenting a typical conceptualization will yield better structural and functional performance than those presenting a minority one is supported experimentally. Conceptualizations are derived from objects built from memory (and incorrectly) by people who first studied typical or minority instructions. A new distance measure determines how far these conceptualizations are from those presented in the instructions. People studying typical instructions yield typical conceptualizations, and importantly, people studying minority instructions also yield typical conceptualizations, although they are significantly less typical than those from typical instructions. From the theoretical construct of conceptualizations and the methods of measuring them a practical principle, and a way to implement it, are found. The principle: When a single set of procedural instructions is designed, it should present the conceptualization that the majority of people to be instructed by it bring to the situation naturally. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1985
Accession Number
ADA155564

Entities

People

  • A. Ehrenfeucht
  • P. Baggett

Organizations

  • University of Colorado Boulder

Tags

DTIC Thesaurus Topics

  • Classification
  • Clustering
  • Cognitive Science
  • Colorado
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Data Analysis
  • Information Processing
  • Materials
  • Military Research
  • Operating Systems
  • Psychology
  • Security
  • United States
  • Universities

Fields of Study

  • Education

Readers

  • Aerospace Test and Evaluation
  • Educational Psychology
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.