ATTENTION-BASED CONTENT VISUALIZATION FOR AN EXTENDED REALITY ENVIRONMENT

Smart overview of the Invention

The patent application discusses a method for enhancing content visualization in an extended reality (XR) environment by focusing on user attention. It involves collecting input data from users and inferring their interests to identify relevant virtual content. The method modifies this content based on its relevancy, ensuring that the most pertinent information is more prominently displayed. This approach aims to improve user experience by minimizing distractions from less important content.

Field of Invention

This innovation pertains to the adaptive visualization of content in XR environments, which include virtual reality (VR), augmented reality (AR), and mixed reality (MR). These environments combine virtual and physical elements to create immersive experiences. The technology can be applied across various platforms, such as head-mounted displays (HMDs), mobile devices, and computing systems, making it versatile for different XR applications.

Background and Challenges

XR systems have significant potential for delivering content across numerous fields like medical training, retail, and entertainment. However, developers face challenges in creating user interfaces that effectively present information. Often, interfaces are cluttered with too much data or fail to convey the significance of displayed objects, limiting usability. This invention addresses these issues by refining how content is presented based on user attention.

Technical Approach

The method utilizes artificial intelligence (AI) to analyze user attention and predict interaction probabilities with virtual content. It classifies content into relevant, semi-relevant, and non-relevant categories, applying modifications accordingly. These modifications may include adjusting contrast, transparency, position, or size of the virtual content, and potentially adding sound notifications to enhance clarity and focus.

System Implementation

The system comprises data processors executing instructions stored on a non-transitory computer-readable medium. These instructions enable the processors to perform methods outlined in the patent, ensuring adaptive content visualization based on user attention. This approach can be implemented in various contexts and platforms, enhancing the delivery of XR content across different applications.