US20250025084
2025-01-23
Human necessities
A61B5/165
The patent application details a system designed to deliver personalized cognitive behavioral exercises (PCE) through an interactive platform. This system comprises a user interface, processors, an interactive display, and data storage units. It collects data on a user's mental state, processes it using generative AI to create personalized exercises, and assesses the impact through pre- and post-assessments. The system presents these exercises in various formats including text, audio, video, and virtual reality.
Anxiety disorders are prevalent in the United States, affecting millions annually. Traditional mediums like TV and social media often exacerbate stress rather than alleviate it. Personalized cognitive interventions offer significant potential for improving mental health by tailoring exercises to individual needs. However, existing solutions lack deep personalization, often delivering generic content that fails to resonate with users' unique life situations.
Current cognitive behavioral therapy apps mainly offer generic exercises curated through AI, similar to content recommendation systems like Netflix® or Spotify®. These approaches do not achieve the necessary personalization to address specific user needs effectively. The lack of personalized content can result in impersonal therapeutic experiences that may not engage users or address their unique challenges, potentially worsening feelings of isolation.
The invention provides a system that automatically generates personalized cognitive exercises tailored to an individual's specific life situations. It uses AI and large language models to create exercises that directly reference the user's context, enhancing engagement and therapeutic outcomes. The system ensures privacy by processing and storing data locally on the user's device.
The system utilizes large language models to construct personalized exercises based on user inputs such as concerns about job interviews or personal challenges. It supports multimodal content delivery through devices like smartphones and tablets, incorporating audio, video, and VR outputs. Data is collected both actively and passively from sources like social media or journals, ensuring a comprehensive understanding of the user's context while maintaining privacy by storing all information locally.