As artificial intelligence (AI) technology advances, its potential applications in pilot training are becoming increasingly clear. One promising area of enhancement is the development of communication skills for pilots, which is vital for aviation safety and efficiency.
Traditional methods for teaching pilot communications involve extensive repetition and practice in the cockpit or simulators. However, instructors often face challenges providing immediate feedback during live flights, and students may experience significant stress when managing real-time radio communications.
Embry-Riddle Aeronautical University is at the forefront of integrating AI to transform how students learn pilot communication. The university’s innovative approach leverages AI technologies to offer more interactive and effective training experiences, moving beyond conventional role play and passive practice.
AI-Driven Training at Embry-Riddle
At Embry-Riddle, AI tools from industry partner Advanced Simulation Technology Inc. (ASTi) are central to their air traffic control (ATC) communications training. These AI-driven systems are designed to replicate real-world scenarios, including the busy airspace around Daytona Beach International Airport, to provide realistic training environments.
The training begins with a virtual reality (VR) setup where students engage with a 360-degree flight video, guided by an instructor. They then use ASTi’s Pilot Phraseology Trainer, which helps them practice radio communications by displaying flight diagrams, instrument images, and 3D models. The AI evaluates their responses in real-time, offering feedback on pronunciation, structure, and compliance with FAA communication standards. This method allows students to learn and practice at their own pace in a controlled, non-threatening environment.
Following this initial training, students advance to using ASTi’s Simulated Environment for Realistic ATC (SERA), which combines a customized VR flight trainer with dynamic machine learning-generated air traffic scenarios. SERA simulates interactions with virtual air traffic controllers who give and respond to instructions just as real controllers would, creating a comprehensive and realistic communication practice environment.
Enhanced Proficiency and Future Developments
According to Ken Byrnes, chair of the flight department at Embry-Riddle’s Daytona Beach campus, this AI-driven approach has significantly improved students’ proficiency in radio communications. The immersive, focused practice has reduced the time required for students to become adept communicators, translating to better performance in actual flights.
Andrew Schneider, who designed the ATC course, is now working on integrating speech recognition and natural language processing tools into live flight training. This next step aims to utilize AI for analyzing complex data sets from students’ flights to tailor training scenarios and reinforce areas needing improvement.
Tom Schnell from the University of Iowa’s Operator Performance Laboratory suggests that AI tools could further enhance training by analyzing performance data from various flights to identify and address skill gaps. Such advancements would provide instructors with powerful tools to support and refine their students’ training experiences.
A Glimpse into the Future of Pilot Training
Visitors to Embry-Riddle’s immersion lab are often impressed by the level of engagement and realism in the training process. The integration of AI allows students to effectively manage communications throughout their simulated flights, all before they ever step into an actual aircraft.
As AI continues to evolve, its potential to revolutionize pilot training is becoming more evident, offering promising advancements that could reshape how future pilots are trained and prepared for their careers.