US20240160277
2024-05-16
Physics
G06F3/011
A method is proposed for facilitating the transfer of context from a virtual session to real-world environments. It involves detecting users in a virtual space and gathering information about their interests and the content present in that session. By analyzing this data, the system identifies suitable real-world devices that can receive and utilize the context from the virtual interaction.
The process starts with recognizing at least one user engaged in a virtual session. The system captures the context of virtual content based on user actions and inputs, which may include gestures, speech, or other interactions. This information helps in determining user interests that relate to the content within the virtual environment.
Correlation information is then obtained, linking user interests to the capabilities of various real-world devices owned by the user. This includes assessing audio, video, and display capabilities, among others. The goal is to find the best-suited device that can facilitate the transfer of relevant virtual content into the user's physical surroundings.
The method also involves a scanning mechanism to identify virtual content during the session. It assesses both user activities within the virtual environment and their interactions with real-world contexts. By classifying and analyzing this data, the system can effectively provide recommendations for transferring virtual content to compatible real-world devices.
The proposed solution comprises an electronic device equipped with processors that manage various modules for detecting users, obtaining context, and identifying device capabilities. These modules work together to ensure seamless transfer of information between virtual sessions and real-world applications, enhancing user experience by bridging both environments effectively.