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Voice Technology Study Report

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English


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  • Abstract:
    This work was accomplished under the direction Dan Wagner and Armida Rosiles, ACT-530, as part of the FAA Airway Facilities Human Factors R,E, & D Program. The FAA Headquarters Program Manager is Lawrence Cole, AAR-100, and the AF Requirements sponsor is Dr. Brenda Boone, AFR-100

    This document presents the findings of a voice technology study that evaluated the potential of a speech-to-text and voice recognition system to support an Airway Facilities maintenance task. Researchers conducted the test at an Airport Surveillance Radar (ASR)-9 site at the William J. Hughes Technical enter. Thirteen Airway Facilities Specialists completed the procedure twice, once with the voice technology system and again with a paper manual. The results showed no differences in task completion time or workload. Suggesting that the voice technology system was no more time consuming or difficult to use than a traditional paper manual. The voice recognition rate was 86.6%. Questionnaire responses showed that users found the voice technology system understandable, easy to control, and responsive to voice commands. When asked to compare voice technology to the use of a paper manual for the Air Traffic Control Beacon Interrogator (ATCBI)-5 maintenance procedure, study participants indicated that the voice technology system made the maintenance task easier to perform, was more efficient and effective than a paper manual, and would be better for handling large amounts of information. Researchers concluded that this study resulted in a successful demonstration of voice technology for the Airway Facilities maintenance procedure. It was recommended that further, more extensive studies be conducted using voice technology systems in a wider variety of Airway Facilities environments and tasks.

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    urn:sha-512:cd95259b311adc2735c2bb4775093e1f4f26a1bebde30a41f56b648f830f28745d0fc10ff44440c02763341b9a5061bed087a358642f54f9067a7a172e70625f
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    Filetype[PDF - 4.34 MB ]
File Language:
English
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