This innovative interface employs Electroencephalogram (EEG) technology, biometric sensing, and artificial intelligence to monitor crucial physiological indicators such as brain activity, heart rate, and pupil movement.

The Neuro-Adaptive Interface is applicable across multiple industries, including gaming, AI-based education, cognitive therapy, financial trading, autonomous vehicles, and virtual/augmented reality experiences.

Dr. Raul Villamarin Rodriguez, Vice President of Woxsen University, highlighted that the technology's primary goal is to enhance human capabilities while minimizing cognitive strain.

With its advanced features, the system is projected to improve user performance by 50% and reduce cognitive fatigue by 40%.

By analyzing these physiological indicators, the system can adjust digital environments in real-time, aiming to increase user efficiency and decrease mental fatigue.

Utilizing Graph Neural Networks (GNNs), the system is capable of analyzing workloads, redistributing tasks, and fostering collaboration across various application areas.

Woxsen University's AI Research Centre has unveiled a groundbreaking Neuro-Adaptive Interface designed to enhance human-AI interaction.