A Quantitative Model of Expert Transcription Typing

Abstract

The Model of Expert Transcription Typing (METT) is a quantitative model built within the architecture of the Model Human Processor (MHP, Card, Moran & Newell, 1983). As such, it can be used to make quantitative predictions of performance on typing tasks, can be integrated with other MHP-based models of performance (e.g., choice reaction time), and can be extended to other typing- like domains (e.g., a data-entry task). In this paper, I apply the METT to transcription typing tasks that display robust behavioral phenomena (Salthouse, 1986) and evaluate its performance relative to these tasks. I briefly discuss integration with other MHP-based models and extension of the METT to predict performance in a complex, real-world task.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 08, 1993
Accession Number
ADA270615

Entities

People

  • Bonnie E. John

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Applied Psychology
  • Cognition
  • Cognitive Science
  • Cognitive Systems Engineering
  • Computer Programming
  • Computer Science
  • Computers
  • Educational Psychology
  • Engineering
  • Human Behavior
  • Human-Computer Interaction
  • Information Processing
  • Language
  • Materials
  • Operating Systems
  • Psychology
  • Task Performance And Analysis

Fields of Study

  • Biology
  • Computer science

Readers

  • Canine Service Warrior Training Program for Wounded Warriors in the Veterinary Industry, Supported by Donors.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.