Modelling Reading Times in Different Reading Tasks with a Simulation Model of Comprehension.

Abstract

Reading times are a very detailed source of data on comprehension processes, especially in the case of recording reading times on individual sentences in a passage. But conventional verbal or mathematical theories of comprehension fail to fully exploit such data because the comprehension processes are not represented in enough detail. Computer simulation models of language processing are adequately detailed, but there has been difficulty in applying such models to experimental data. This paper presents the results obtained by using a multiple-regression method to compare an ordinary language processing simulation model to single-sentence reading times by fitting a linear equation to the reading times. The candidate predictor variables in the regression analysis are variables representing the number of steps in each process performed by the simulation in understanding each sentence.

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Document Details

Document Type
Technical Report
Publication Date
Mar 30, 1979
Accession Number
ADA068549

Entities

People

  • David E. Kieras

Organizations

  • University of Arizona

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Applied Psychology
  • Artificial Intelligence
  • Cognition
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computer Simulations
  • Experimental Data
  • Grammars
  • Information Processing
  • Information Science
  • Learning
  • Military Research
  • New York
  • Operating Systems
  • Psychology
  • Regression Analysis

Readers

  • Computational Linguistics
  • Computational Modeling and Simulation
  • Psychometric Testing or Psychological Assessment.