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Workload-Matched Adaptive Automation Support of Air Traffic Controller Information Processing StagesAdaptive automation (AA) has been explored as a solution to the problems associated with human-automation interaction in supervisory control environments. However, research has focused on the performance effects of dynamic control allocations of early stage sensory and information acquisition functions. The present research compares the effects of AA to the entire range of information processing stages of human operators, such as air traffic controllers. The results provide evidence that the effectiveness of AA is dependent on the stage of task performance (human-machine system information processing) that is flexibly automated. The results suggest that humans are better able to adapt to AA when applied to lower-level sensory and psychomotor functions, such as information acquisition and action implementation, as compared to AA applied to cognitive (analysis and decision-making) tasks. The results also provide support for the use of AA, as compared to completely manual control. These results are discussed in terms of implications for AA design for aviation.
Document ID
20020080640
Acquisition Source
Langley Research Center
Document Type
Technical Publication (TP)
Authors
Kaber, David B. (North Carolina State Univ. Raleigh, NC United States)
Prinzel, Lawrence J., III (NASA Langley Research Center Hampton, VA United States)
Wright, Melanie C. (North Carolina State Univ. Raleigh, NC United States)
Clamann, Michael P. (North Carolina State Univ. Raleigh, NC United States)
Date Acquired
September 7, 2013
Publication Date
September 1, 2002
Subject Category
Man/System Technology And Life Support
Report/Patent Number
L-18229
NASA/TP-2002-211932
NAS 1.60:211932
Funding Number(s)
PROJECT: RTOP 711-50-21-01
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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