Supporting Joint Human-Computer Judgment Under Uncertainty

Miller, Sarah

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Title:	Supporting Joint Human-Computer Judgment Under Uncertainty
Author(s):	Miller, Sarah
Doctoral Committee Chair(s):	Kirlik, Alex
Department / Program:	Industrial Engineering
Discipline:	Industrial Engineering
Degree Granting Institution:	University of Illinois at Urbana-Champaign
Degree:	Ph.D.
Genre:	Dissertation
Subject(s):	Psychology, Experimental
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.
Issue Date:	2008
Type:	Text
Language:	English
Description:	135 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.
URI:	http://hdl.handle.net/2142/87093
Other Identifier(s):	(MiAaPQ)AAI3347452
Date Available in IDEALS:	2015-09-28
Date Deposited:	2008