Machine learning curated virtualized personal space
The present inventive concept contemplates a method that of producing a walkabout reality for a user by extracting user-associated characteristics from social media interactions of the user, and using the user-associated characteristics to select a theme and corresponding theme elements from a theme data store. The invention further contemplates producing a virtualization of a current physical environment that includes the avatar of the user and corresponding theme elements. An augmented reality engine executes commands from the user to control actions of the avatar with the virtualization.
1. A method of producing a walkabout reality for a user, comprising an augmented reality engine to execute the following steps:
extracting user-associated characteristics from user patterns of behavior in at least one of a social media environment and a physical environment;
analyzing a current physical environment to determine one or more customizable elements of the current physical environment, wherein the analysis of the current physical environment includes a supervised learning classifier configured to analyze historical physical environment data and characterize one or more features of the current physical environment;
rendering a virtualized current physical environment without a threshold distance of the user, wherein the rendered virtualized current physical environment includes an avatar of the user;
rendering one or more customized virtual elements within the virtualized current physical environment;
executing commands from the user to control actions of the avatar with the virtualization;
analyzing user interactions with the virtualized the current physical environment and the one or more customized virtual elements; and
modifying one or more customized virtual elements in the virtualization of the current physical environment based on the analyzed user interactions.
2. The method of claim 1 , wherein using the user-associated characteristics to select a theme and corresponding theme elements from a theme data store, further comprises applying one or more machine learning algorithms to the user-associated characteristics to identify a pattern associated with the identified theme.
3. The method of claim 1 , further comprising applying the theme to produce a virtualization of a physical object within the current physical environment, and executing commands from the user to control actions of the avatar with respect to the virtualized physical object.
4. The method of claim 1 , further comprising applying the theme to produce a virtualization of a physical object within the current physical environment, further comprises applying one or more auditory functionalities associated with a theme to the virtualized physical object.
5. The method of claim 1 , further comprising applying the theme to produce a virtualization of a physical object within the current physical environment, further comprises applying one or more haptic functionalities associated with a theme to the virtualized physical object.
6. The method of claim 1 , further comprising using at least one of search and purchase histories to derive the user-associated characteristics.
7. The method of claim 1 , wherein the user-associated characteristics are derived from one or more data points.