US20250264937
2025-08-21
Physics
G06F3/013
The patent application introduces a system for creating personalized content using augmented reality (AR) devices coupled with generative artificial intelligence (AI). This system detects user interests in specific objects and determines the level of interest. If the interest level surpasses a certain threshold, the system generates a customized content item by integrating object information with user-specific content through AI. The customized content is then displayed to the user via an AR device.
User interest is identified by observing interactions with objects, such as gaze direction and duration, using sensors in the AR device. Biological data like heart rate and pupil dilation are also considered to gauge interest levels. These data points are gathered through various sensors including eye-tracking and optical sensors, which help determine if the user's interest level exceeds a predefined threshold.
Once a significant interest level is detected, the system retrieves relevant content items for the user. By feeding both the object information and the content item into a generative AI model, the system creates a customized content piece. This personalized item may include images, videos, or text tailored to align with the user's detected interests and preferences.
The system updates user profiles based on detected interests, storing information about objects that have previously engaged the user. This profile aids in refining future content recommendations by comparing object similarities and themes of interest. The goal is to enhance user engagement by delivering more relevant AR experiences.
The AR device comprises various components such as eye-tracking sensors, biological sensors, and location sensors to collect necessary data for interest detection. It includes processors that execute algorithms to assess interest levels and generate customized content. The device's functionality extends to updating user profiles and adapting content delivery based on real-time user interactions and preferences.