Is this project an undergraduate, graduate, or faculty project?
Graduate
Project Type
group
Campus
Daytona Beach
Authors' Class Standing
Joseph O'Brien, Graduate Student Inga Agustsdottir, Graduate Student
Lead Presenter's Name
Joseph O'Brien
Lead Presenter's College
DB College of Arts and Sciences
Faculty Mentor Name
Bert Boquet
Abstract
Understanding resilient performance in routine operations depends upon exploring new data sources to capture positive performance. The NASA SOTERIA test bed was used to conduct seventy-two simulated descent and approach sequences, into Charlotte Douglas International Airport, using six different scenarios with twelve flight crews. Audio and video recordings of the flights were captured. Processing of the audio content for further analysis was conducted. Transcription of the recorded audio involved a multi-step process using both human and automated transcription to prepare the data for further analysis. The methodology described in this paper applies to recording and processing of any audio data, particularly pilot-ATC communications. Procedures and best practices are captured and reported, as well as lessons learned during the first year of the project.
Did this research project receive funding support (Spark, SURF, Research Abroad, Student Internal Grants, Collaborative, Climbing, or Ignite Grants) from the Office of Undergraduate Research?
No
Transcription Methodology for SOTERIA Simulator Scenarios
Understanding resilient performance in routine operations depends upon exploring new data sources to capture positive performance. The NASA SOTERIA test bed was used to conduct seventy-two simulated descent and approach sequences, into Charlotte Douglas International Airport, using six different scenarios with twelve flight crews. Audio and video recordings of the flights were captured. Processing of the audio content for further analysis was conducted. Transcription of the recorded audio involved a multi-step process using both human and automated transcription to prepare the data for further analysis. The methodology described in this paper applies to recording and processing of any audio data, particularly pilot-ATC communications. Procedures and best practices are captured and reported, as well as lessons learned during the first year of the project.