Fighter pilots in training are leveraging AI technology to read their brainwaves while flying in virtual reality simulations. This innovative approach helps assess task difficulty and adjust complexity in real-time, offering a more personalized training experience. Recent experiments revealed that trainee pilots prefer this adaptive training system over traditional, static methods, although it hasn’t demonstrated a measurable improvement in skills.

Utilizing simulators and virtual reality platforms for pilot training is not only more cost-effective but also significantly safer than real-world flight exercises. However, it’s crucial that these educational scenarios are dynamically fine-tuned to balance comfort and cognitive load effectively.

Evi van Weerden, a researcher at the Royal Netherlands Aerospace Center in Amsterdam, has spearheaded this initiative by utilizing a brain-computer interface to read student pilots’ brainwaves through electrodes attached to their scalps. The AI analyzes this data to assess the difficulty levels of tasks pilots encounter.

“We are continually striving to enhance pilot training. It may sound like science fiction, but for me, as I analyze the data, it feels quite normal,” Van Weerden states.

A total of 15 Dutch Air Force pilots participated in the experiment, where the system calibrated between five distinct difficulty levels by adjusting visibility within the simulation based on the AI’s assessment of task complexity.

Post-training interviews revealed that while none of the pilots reported noticing real-time adjustments in difficulty, 10 out of the 15 pilots expressed a preference for the adaptive tests over preprogrammed exercises that incrementally increased in difficulty. Nevertheless, it’s noteworthy that pilots displayed no significant improvement in task performance when compared to traditional training methods. In essence, while pilots appreciated the mind-reading technology, it did not enhance their skill levels.

This discrepancy may stem from the individual differences in brain function, as Van Weerden explains. The AI model was initially trained on data from a separate cohort of novice pilots and subsequently applied to the 15 study participants. Implementing AI systems that accurately analyze brainwaves across varied populations remains a challenge. Notably, six pilots exhibited minimal variation in perceived difficulty, suggesting the AI may not have accurately interpreted their brain data.

Dr. James Blundell from Cranfield University in the UK highlighted that similar technologies are being explored for use in live aircraft to enhance pilot operation safety. “We’re investigating the ability to detect panic responses and creating interventions to help pilots regain control and composure during challenging situations,” Blundell explains. For instance, should a pilot find themselves inverted, the technology could provide critical information to enable a return to stable flight.

While promising progress has been made in isolated scenarios, the question of whether brain-reading technology can be effectively harnessed to bolster aviation safety remains unanswered. “There is still a considerable journey ahead to realize this potential,” concludes Blundell.