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Kirlik, Alex Miller, Sarah 2015-09-28T15:37:22Z 2015-09-28T15:37:22Z 10000-01-01 2008 2008 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. Made available in DSpace on 2015-09-28T15:37:22Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3347452.pdf: 3057562 bytes, checksum: 7d32bc78333e9325a790a47217a60fb3 (MD5) Previous issue date: 2008 Embargo set by: Seth Robbins for item 88374 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 135 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008. http://hdl.handle.net/2142/87093 (MiAaPQ)AAI3347452 eng Psychology, Experimental Supporting Joint Human-Computer Judgment Under Uncertainty text Industrial Engineering Industrial Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.