Abstract: Virtual avatar generation and simulation includes registering an end user in a self-awareness computer program and establishing a communicative coupling to different heterogeneous data sources, so that characterizing data of the end user is received from over each coupling to each heterogeneous data source. The characterizing data is transformed into a knowledge graph associated with the end user and an avatar is instantiated in the self-awareness computer program in correspondence to the end user. Thereafter, an avatar generation prompt is formulated requesting parameterization of the avatar including both a reference to the knowledge graph and also a reference to the avatar. The prompt is then transmitted to a large language model (LLM) so as to receive in response the requested parameterization. Finally, the avatar is parameterized with the received parameterization and simulated in the self-awareness computer program with respect to a scenario artifact defining a scenario for the end user.

Abstract: A method for social personality profiling for productivity enhancement includes defining a base profile for a subject end user identifying the end user. The method also may include prompting the subject end user to select a multiplicity of listed values defining respectively different ethical human behaviors, and additionally prompting the subject end user to rank a subset of the selected values. The method may yet further include transmitting the selected values to a different end user stored in connection with the subject end user, and receiving from the different end user a different ranked subset of the selected values. Finally, the method may include computing a composite ranked subset from the ranked subsets of the subject end user and different end user, identifying an avatar corresponding to the composite ranked subset and displaying a recommended action mapped in the fixed storage to the identified avatar.

Abstract: A method for social personality profiling for productivity enhancement includes defining a base profile for a subject end user identifying the end user. The method also may include prompting the subject end user to select a multiplicity of listed values defining respectively different ethical human behaviors, and additionally prompting the subject end user to rank a subset of the selected values. The method may yet further include transmitting the selected values to a different end user stored in connection with the subject end user, and receiving from the different end user a different ranked subset of the selected values. Finally, the method may include computing a composite ranked subset from the ranked subsets of the subject end user and different end user, identifying an avatar corresponding to the composite ranked subset and displaying a recommended action mapped in the fixed storage to the identified avatar.