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Description
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 |
This item appears in the following Collection(s)
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Dissertations and Theses - Industrial and Enterprise Systems Engineering
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Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois