50 results about "Persona" patented technology

Systems and methods for migrating users and modifying workspace definitions of persona groups are described. In some embodiments, a memory storage device may have program instructions stored thereon that, upon execution by a workspace orchestration service, cause the service to: distribute a first workspace definition based upon a first persona group associated with a user to a client device operated by the user, where the user IHS is configured to instantiate a first workspace based upon the first workspace definition; and in response to a change in a productivity or security metric of the first workspace, determine whether to: (a) migrate the user to an existing second persona group, (b) create a third persona group and migrate the user to the third persona group, (c) modify the first persona group and migrate the user to the modified first persona group, or (d) identify a potential security threat.

Persona based modeling systems and techniques are described. In one or more examples, a user interface is displayed having a plurality of representations of a plurality of personas, each persona of the plurality of personas modeling one or more user characteristics. An input is received via the user interface as selecting a first persona and in response digital content is output via the user interface. The digital content is selected from a plurality of digital content based on the first persona. An input is then received selecting an option via the user interface to add the first persona to a second persona. A combined persona is generated based on the first persona and the second persona.

A system generates, based on a first agent for a first persona and content of an electronic document, first feedback information for the first persona. Based on a determination that the first feedback information for the first persona indicates a first value for an attribute of the electronic document that causes a conflict with second feedback information for a second persona and that a second value for the attribute of the electronic document has been selected to resolve the conflict, the system generates, based on the first agent for the first persona, the second value for the attribute, and the content of the electronic document, updated first feedback information for the first persona. The system generates, based on the updated first feedback information for the first persona, a multi-agent report for the electronic document and output the multi-agent report.

Methods and systems are provided for operating a persona-driven intelligence platform. Responsive to receiving inputs and / or instructions corresponding to a digital task, data records are retrieved from a database. The data records are clustered to generate a plurality of clusters of data records, based on a first set of attributes. A corresponding second set of attributes is obtained for each of the plurality of clusters, and a corresponding personality score vector is generated for each of the plurality of clusters, based on the second set of attributes. A dynamic persona corresponding to at least one of the plurality of clusters is generated by one or more large language model (LLM) agents and stored in a persona library. The disclosed methods and systems may enable improved real-time management of audience-driven digital workflows by automating unique persona generation, for enabling the optimization of digital tasks and data workflows to maximize relevancy.

Some aspects relate to technologies for generating persona simulators and employing the persona simulators for interaction simulation. The persona simulators can comprise user persona simulators that act as end users during simulated interactions and agent persona simulators that act as agent users during simulated interactions. To generate a persona simulator, interaction data for an end user or an agent user is accessed. The interaction data can be based on, for instance, transcript(s) from interaction(s) involving the end user or agent user. Parameter scores for different interaction parameters are generated from the interaction data, and in some cases, the parameter scores are used to determine an index score. The scores define the persona of the end user or agent user and are used to provide an input to a generative model to provide a persona simulator. The persona simulator is then used to generate text for messages during a simulated interaction.

To provide information that is useful for evaluating content. [Solution] The information processing device comprises a content selection unit, a comment collection unit, a persona generation unit, and an information output unit. The content selection unit selects target content from among multiple contents published on the internet. The comment collection unit collects one or more comments posted by one or more viewers for the selected target content. The persona generation unit generates one or more personas representing the one or more viewers who posted the one or more target comments based on the collected one or more target comments, and obtains one or more persona information, which is information indicating the one or more generated personas. The information output unit outputs the obtained one or more persona information.

A method includes obtaining multiple raw dark web posts. The multiple raw dark web posts are preprocessed to obtain a tokenized dark web post set. A prompt is constructed for a threat analyzer large language model (LLM). The prompt includes at least a first tokenized dark web post a set of threat personas, each threat persona including a category and a definition, and an instruction to categorize the first tokenized dark web post with a threat persona and generate a first explanation corresponding to the categorization of the first tokenized dark web post. The prompt is processed by the threat analyzer LLM, to obtain a first annotated post and a corresponding first threat persona category. The first annotated post includes a post summary corresponding to the first tokenized dark web post, and the first explanation. The first explanation is based on a first threat persona definition.

Methods and a system for personalizing self-checkout terminals based on customer loyalty information includes receiving customer preferences during registration, generating themed personas with specific color schemes, graphics, and animations relevant to the customer's registered interests, and dynamically applying personalized interface themes when customers are identified at self-checkout terminals. The system maintains cached personas tagged with attributes like interests, religious preferences, and dietary restrictions, enabling sub-second personalization by matching customer preferences to pre-generated themes. The system avoids showing inappropriate content by filtering themes based on offensive content, collects user feedback on displayed themes through a rating mechanism, and employs time-delay factors to prevent theme repetition. New personas and corresponding themes are periodically generated to maintain customer engagement while keeping processing costs manageable.

This invention discloses a personalized digital family member replication, persona reshaping, and immersive interactive system based on AI and VR, belonging to the fields of artificial intelligence and virtual reality technology. The invention first collects multi-source data such as images, voice, text, and feature tags to complete 3D digital human reconstruction, personality logic, and unique voiceprint replication. Then, it supports user-customizable switching between various personas such as poet, singer, and storyteller. Combined with affective computing technology, it achieves anthropomorphic two-way interaction, enabling functions such as dialogue, singing, recitation, and knowledge explanation. Next, a VR engine is used to build virtual scenes, achieving immersive face-to-face interaction. Finally, the data is encrypted and stored in the cloud with tiered access permissions. This invention highly restores the real characteristics of the person, offers flexible and configurable personas, rich interactive forms, and a strong immersive experience. It can realize family remembrance and emotional comfort, as well as the digital inheritance of family knowledge and traditions, with a wide range of applications and high security.

Systems and methods are described for producing customized commentary. Data relating to a competition activity is received. Information relating to at least one event occurring during the competition activity is inferred by processing the data using an artificial intelligence model. The information relating to at least one event is processed using a virtual persona model to generate customized commentary. The customized commentary is output.

It provides dynamic adaptation of a given assistant output based on a given persona assigned to the automated assistant. [Solution] The method generates and then adapts a given assistant output based on a given persona assigned to the automated assistant. The given assistant output is specific to the given persona and is generated without the need to later adapt the given assistant output to the given persona. The given assistant output includes a stream of text content synthesized for audible presentation to the user and a stream of visual cues used to control the client device's display and / or the automated assistant's visual representation. The given assistant output is made to reflect a given persona using a Large-Scale Language Model (LLM) or output previously generated using an LLM.

An object of a system according to an embodiment is to improve the motivation of a learner and respond to individual learning needs.SOLUTION: A system according to an embodiment includes a quest generation unit, a persona generation unit, a feedback provision unit, and an emotion analysis unit. The quest generation unit analyzes the progress status of the learner and generates a quest to be challenged next. The persona generation unit analyzes the learner's profile or learning data based on the quest generated by the quest generation unit and generates an individual persona. The feedback providing unit visualizes the learner's performance based on the persona generated by the persona generation unit and provides feedback in real time. The emotion analysis unit analyzes the emotion of the learner based on the feedback provided by the feedback providing unit and adjusts the learning plan.SELECTED DRAWING: Figure 1

This invention discloses a method and system for decoupling and flexibly activating hierarchical intelligent agent personas in role-playing. The method involves receiving a dialogue request from a user to a target intelligent agent; acquiring contextual information based on the current dialogue request and loading multi-layered structured persona information corresponding to the target intelligent agent; retrieving target persona information corresponding to the current dialogue request from kernel-level, capability-level, and presentation-level persona information according to pre-defined flexible activation rules and contextual information; and generating a response result corresponding to the current dialogue request based on the target persona information and pre-retrieved external role association information. This invention transforms traditional "flat personas" into multi-layered structured persona information, turning personas from static constraints into driving factors that can be flexibly activated during interaction. This improves expressive diversity, emotional changes, and contextual fit while maintaining role consistency.

A system is provided.SOLUTION: A system, comprising: means for a user to input information about a service; means for analyzing the input service information and extracting relevant data points; means for generating a plurality of proposed personas using an artificial intelligence model based on the extracted data points; means for presenting the generated proposed personas to the user; and means for storing proposed personas selected by the user and processing feedback.SELECTED DRAWING: Figure 1

Systems, methods and / or computer program products personalizing user interactions with virtual agents of applications and / or services, using audio / visual components customized to appeal to user preferences. Upon initial interaction with virtual agents, AI ranking algorithms are triggered to adopt the highest ranked persona for the virtual agent based on previous positive interactions with the user, learned preferences, the user's state inferred from facial expressions, body language, tone. Personas can emulate voice signatures of popular characters, actors, celebrities and sports figures, and access a corpus of dialogue of the available personas to learn unique speech patterns, slang, tone, grammar, speed, and vocabulary. The corpus that comprises various personas of real and / or fictional individuals can include data of the mannerisms and visual likeness of the various characters and people, allowing avatars depicting the virtual agents to be animated in the likeness of the selected persona in real-time during conversational workflows.

A system is provided.SOLUTION: A system comprising: means for generating a variety of personas using a generative AI model; means for conducting questionnaires on products in the generated personas; means for aggregating questionnaire results and generating statistical information; means for analyzing improvement points of products based on the generated statistical information; and means for displaying analytical results on user terminals.SELECTED DRAWING: Figure 1

Systems and methods are described for producing customized commentary. Data relating to a competition activity is received. Information relating to at least one event occurring during the competition activity is inferred by processing the data using an artificial intelligence model. The information relating to at least one event is processed using a virtual persona model to generate customized commentary. The customized commentary is output.

Embodiments of the present disclosure relate to determining digital personas using data-driven analysis. The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilize a digital-driven approach to organize a user's user activity data into a hierarchy of digital actions, digital tasks, and digital workflows, and to categorize vectors representing frequent activities from the hierarchy into a persona group for the user. With this vector representation, the disclosed system is able to categorize vector representations from other vector representations' distribution from other users into the persona group for a particular user. Based on at least one of the determined persona group or vector representation, the disclosed system is able to use a node graph to determine digital recommendations for the particular user to collaborate with other users or on a particular project.

A method for generating artificially-intelligent, synthetic responses to a natural language conversational survey is provided. Methods create a synthetic persona that reflects an authentic human. Methods store the synthetic persona as vectors within a vector database. Methods initiate a survey. Methods select the synthetic persona from the vector database. The selection is based on a correspondence between data points input by the researcher and vectors included in the synthetic persona. Methods initiate the survey with the selected synthetic persona as a participant. Methods generate a first question for the survey. Methods augment, at the vector database, the first question with vectors that correspond to data points relevant to the first question. Methods transmit the augmented first question to a large language model. Methods receive a response to the augmented first question. Methods process the response at the survey system. Methods enable the researcher to analyze the survey.

A computer-implemented method for empathy skill development using AI-driven interactive text adventures. Users specify a persona, scenario type, and empathy objectives, and the system generates branching narrative scenarios with multiple selectable options. Choices are made without hints, and the story unfolds naturally, showing outcomes and character reactions. After each scenario, the system provides delayed reflective prompts to guide consideration of consequences, character perspectives, and alternative strategies. Recurring user challenges are recorded, and future scenarios are adapted to reinforce weaker areas, enabling safe, immersive, and personalized empathy training across diverse narrative contexts.

A method for using a GenAI auto prevention and detection system to auto-prevent fraudulent electronic onboarding of a malicious entity purporting to be a new customer is provided. Methods may include receiving an onboarding request from an entity. Methods may also include retrieving the entity's persona. The entity's persona may store data relating to the entity. The entity's persona may be updated each time the entity is involved in a relationship with an institution. The entity's persona may include details relating to the relationship between the entity and the institution. Based on a GenAI model's analysis of the entity's persona, approving or denying the onboarding request.

The invention discloses a social network public opinion deduction method and system, and relates to the field of social networks, and the method comprises the steps: carrying out the public opinion deduction of a target public opinion event through multiple agents, and dividing the multiple agents into key users and non-key users according to an obtained initial public opinion deduction result; carrying out random sampling on the key users and the non-key users respectively, and carrying out human setting inversion on the extracted key users and non-key users respectively; obtaining a first reversal public opinion deduction result based on the key users, the other key users and the non-key users of the human-set reversal; obtaining a second reversal public opinion deduction result based on the key user, the non-key user with reversal of people and the other non-key users; and respectively carrying out statistics to obtain index parameter sets under the initial public opinion deduction result, the first reverse public opinion deduction result and the second reverse public opinion deduction result. According to the method, the influence of opinion inversion of different roles on the whole public opinion event evolution can be simulated.

Provided is a central server device capable of learning a persona desired by a client even when the amount of data of a company owned by the client is small. A central server device according to the present invention includes: an information acquisition unit that receives, from a client device controlled by a client, at least one of client member information and a desired persona, the client member information concerning a member belonging to the client, and the desired persona representing a member image desired by the client, that determines requested member information specifications specifying member information to be requested, that acquires, from an external server group controlled by business operators serving as partners, partner member information concerning members belonging to the partners and matching the requested member information specifications, and that generates training data for learning a persona on the basis of at least the partner member information; and a persona learning unit that learns the persona on the basis of the training data.

A method includes obtaining multiple raw dark web posts. The multiple raw dark web posts are preprocessed to obtain a tokenized dark web post set. A prompt is constructed for a threat analyzer large language model (LLM). The prompt includes at least a first tokenized dark web post a set of threat personas, each threat persona including a category and a definition, and an instruction to categorize the first tokenized dark web post with a threat persona and generate a first explanation corresponding to the categorization of the first tokenized dark web post. The prompt is processed by the threat analyzer LLM, to obtain a first annotated post and a corresponding first threat persona category. The first annotated post includes a post summary corresponding to the first tokenized dark web post, and the first explanation. The first explanation is based on a first threat persona definition.

Tiered advertisement bidding is disclosed. One or more quality metrics associated with a user profile are determined. An advertisement bid is selected from a plurality of tiered bids based at least in part on the determined quality metrics. Determining the quality metrics can include determining a conversion assessment. Determining the quality metric can also include determining whether a need associated with a user profile has been met for a category. In some cases, persona detection is performed with respect to the user profile.

A computerized method is provided for evaluating performance of a virtual service agent. The method includes automatically generating personas for impersonating virtual customers by inputting select demographic profiles into a trained large language model (LLM). The method also includes generating (i) a list of questions for the virtual service agent for completing at least one task specific to the virtual users and (ii) a simulated context comprising moods or attitudes of the virtual customers at beginning of the simultaneous interactions. The method further includes enabling the virtual customers to simultaneously interact with the virtual service agent to complete the task via multiple simulated dialogue turns involving the list of questions and the simulated context and evaluating the performance of the virtual service agent based on the dialogue turns.

A system is provided.SOLUTION: A system comprising: a terminal for receiving a malicious reply; a server for collecting past posts of a poster of the malicious reply; means for extracting frequent words from the past posts; means for analyzing the extracted frequent words; means for extracting images from the past posts; means for analyzing the extracted images; means for predicting a persona of the poster based on the analysis; and means for providing the predicted persona information to the terminal.SELECTED DRAWING: Figure 1