Learning theory. Human factored.
The inherent design challenge for brain-computer interfaces is to make them be as human as possible. So, “being human” was adopted as one of our immutable design attributes.
This has guided the way it looks and feels and the way the chatbot interacts. It uses common language, the kind used in everyday human-to-human conversations. The Q&A dialog is engaging, intuitive, and easy to understand from start to finish.
The headset and software algorithms were designed to do most the work. NeuroTech collects and analyzes brain waves to identify and overcome human barriers to learning, speed adaptive behavioral change, and empower people to be the best version of themselves. Learning theory indicates that response modification requires reinforcement over time, so the process has an in-built capability for user to arrive at self-affirmation.