Supporting Joint Human-Computer Judgment Under Uncertainty
Miller, Sarah
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Permalink
https://hdl.handle.net/2142/87093
Description
Title
Supporting Joint Human-Computer Judgment Under Uncertainty
Author(s)
Miller, Sarah
Issue Date
2008
Doctoral Committee Chair(s)
Kirlik, Alex
Department of Study
Industrial Engineering
Discipline
Industrial Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Psychology, Experimental
Language
eng
Abstract
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.
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