Mental Models of Mechanical Systems: Individual Differences in Qualitative and Quantitative Reasoning.

Abstract

People who understand mechanical systems can infer the principles of operation of an unfamiliar device from their knowledge of the device's components and their mechanical interactions. Individuals vary considerably in their ability to make this type of inference. This paper describes studies of performance in psychometric tests of mechanical ability. based on subjects' retrospective protocols and response patterns, it was possible to identify rules of mechanical reasoning that accounted for the performance of subjects of different levels of mechanical ability. The rules are explicitly stated in a simulation model which demonstrates the sufficiency of the rules by producing the kinds of responses observed in the subjects. Three abilities are proposed as the sources of individual differences in performance; (1) ability to correctly identify which attributes of a system are relevant to its mechanical function, (2) ability to use rules consistently, and (3) ability to quantitatively combine information about two or more relevant attributes. Keywords: Mental models, Mechanical ability, Production system simulation.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1987
Accession Number
ADA189035

Entities

People

  • Ian R. Morrison
  • Marcel A. Just
  • Mary Hegarty

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Biomedical
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Applied Psychology
  • Causal Reasoning
  • Coding
  • Cognition
  • Consistency
  • Instructions
  • Judgment
  • Learning
  • Measurement
  • New York
  • Psychology
  • Reasoning
  • Security
  • Simulations
  • Students
  • Thinking
  • Universities

Readers

  • Psychometric Testing or Psychological Assessment.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference