US20240402807
2024-12-05
Physics
G06F3/015
Modern electronic devices are increasingly used to create optimal environments for various cognitive activities, such as working, learning, and resting. The technology leverages computer-generated reality (CGR) to adapt environments based on a user's cognitive state, which is determined by analyzing physiological data like facial expressions and body movements. This dynamic adaptation aims to enhance user productivity, learning efficiency, and relaxation by tailoring the environment to the user's current needs and preferences.
The cognitive state of a user significantly impacts their ability to engage with content on electronic devices. For example, maintaining focus in a CGR environment is crucial for effective learning or working. Recognizing and promoting optimal cognitive states can improve user experiences, making interactions more enjoyable and educational. The patent addresses the need for improved methods to assess and influence these cognitive states through personalized environmental adjustments.
The system identifies user preferences by monitoring physiological responses such as heart rate, brain activity, and pupil dilation. By presenting various environments like offices or natural settings, the system assesses which conditions best support the user's cognitive state for specific activities. It can suggest or automatically switch environments to promote relaxation or concentration based on real-time data analysis.
The technology employs sensors such as heart rate monitors, EKGs, EEGs, and cameras to capture detailed physiological data. These inputs help determine optimal environmental parameters like lighting and sound levels. The system can prompt users to take breaks or adjust their activities based on detected fatigue or relaxation levels, ensuring a balance between productivity and rest.
Devices equipped with this technology can manage CGR environments that simulate real-world interactions. They adjust virtual objects' characteristics in response to user movements or commands, offering a realistic experience aligned with physical laws. This adaptability enhances user engagement across various scenarios, from personal productivity tools to broader educational applications.