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University of Illinois at Urbana-Champaign

Human Pattern Recognition and Information Seeking in Simulated Fault Diagnosis Tasks

Abstract

dc:description

An experiment was conducted in which thirty-four subjects solved a total of 5440 simulated fault diagnosis problems over a period of ten weeks. Two simulations were used; a context-free simulation known as TASK and a context-specific simulation known as FAULT. Results showed that context-free computer aiding helped to reduce the number of errors committed on the context-specific simulation.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Mechanical Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hunt, Ruston McClellan

Subjects

dc:subject × 2

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(UMI)AAI8203491
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/67038

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Hunt, Ruston McClellan. Human Pattern Recognition and Information Seeking in Simulated Fault Diagnosis Tasks. Dissertation thesis, University of Illinois at Urbana-Champaign, 2014. http://hdl.handle.net/2142/67038