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University of Illinois at Urbana-Champaign

Supporting Joint Human-Computer Judgment Under Uncertainty

Abstract

dc:description

Overall, the results revealed that the integrated, human-computer architecture supported including humans into the loop without loss in judgment quality. In some cases, the joint, human-computer system outperformed either the human or the model alone. Implications and future directions are discussed.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Industrial Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Miller, Sarah
Contributors dc:contributor
  • Kirlik, Alex

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3347452
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/87093

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

Miller, Sarah. Supporting Joint Human-Computer Judgment Under Uncertainty. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/87093