Safety and Workload Benefits of Automatic Speech Understanding for Radar Label Updates

Author:

Helmke Hartmut1ORCID,Kleinert Matthias1ORCID,Ohneiser Oliver1ORCID,Ahrenhold Nils1ORCID,Klamert Lucas2,Motlicek Petr3ORCID

Affiliation:

1. Institute of Flight Guidance, German Aerospace Center (DLR), 38108 Braunschweig, Germany

2. Austro Control, 1030 Vienna, Austria

3. Idiap Research Institute, 1920 Martigny, Switzerland

Abstract

Air traffic controllers (ATCos) quantified the benefits of automatic speech recognition and understanding (ASRU) on workload and flight safety. As a baseline procedure, ATCos manually enter all verbal clearances into the aircraft radar labels by mouse. In our proposed solution, ATCos are supported by ASRU, which is capable of delivering the required radar label updates automatically. ATCos need to visually review the ASRU-based label updates and only have to make corrections in case of misinterpretations. Overall, the amount of time required for manually inserting clearances, i.e., by selecting the correct input in the radar labels, was reduced from 12,700 s during 14 hours of simulation time down to 405 s when ATCos were supported by ASRU. Considering the additional time of mental workload for verifying ASRU output, there is still a saving of more than one-third of the time for radar label updates. This paper also considers safety aspects, i.e., how often incorrect inputs into aircraft radar labels occur with ASRU. The number of wrong or missing inputs is less than without ASRU support. This paper advances the use case that ASRU could potentially improve safety and efficiency for ATCo operations for arrivals.

Funder

SESAR Joint Undertaking

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Reference26 articles.

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3. SchäferD. “Context-Sensitive Speech Recognition in the Air Traffic Control Simulation,” Eurocontrol EEC Note No. 02/2001 and Ph.D. Thesis of the Univ. of Armed Forces, Munich, 2001.

4. ShoreT. “Knowledge-Based Word Lattice Re-Scoring in a Dynamic Context,” Master Thesis, Saarland Univ. (UdS), Germany, 2011.

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