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Nadine B. Sarter Olson, Wesley Allan 2015-09-25T20:40:10Z 2015-09-25T20:40:10Z 10000-01-01 1999 1999 Overall, this study found that pilots were often unable to detect conflicts and thus failed to make informed and accurate decisions about proposed machine actions. Detection performance was particularly poor for conflicts related to clearance implementation, which were most likely to be missed if the automation did more than expected by the pilot. In addition to conflict type, the factors time pressure, high trust in air traffic control, and low trust in automated systems also contributed to poor detection performance. Based on a model of the cognitive processes involved in conflict detection, these findings are explained by the inability of pilots to generate expectations of system behavior to guide their monitoring, as well as the failure of the automation to provide effective feedback on its goals and actions in support of data-driven conflict detection. Possible approaches for improving human-machine coordination through more effective information representation and sharing are discussed. Made available in DSpace on 2015-09-25T20:40:10Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9953102.pdf: 5178770 bytes, checksum: e7dbc90e93ce2e99c681850047be2529 (MD5) Previous issue date: 1999 Embargo set by: Seth Robbins for item 83572 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 169 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999. http://hdl.handle.net/2142/82291 (MiAaPQ)AAI9953102 eng Psychology, Cognitive Supporting Coordination in Widely Distributed Cognitive Systems: The Role of Conflict Type, Time Pressure, Display Design, and Trust text Psychology Psychology University of Illinois at Urbana-Champaign Dissertation Ph.D.